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2020 – today
- 2024
[j93]Shiyi Lin
, Deming Zhai, Feilong Zhang, Junjun Jiang, Xianming Liu, Xiangyang Ji:
Overhead-free Noise-tolerant Federated Learning: A New Baseline. Mach. Intell. Res. 21(3): 526-537 (2024)- [j92]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Reciprocal transformer for hyperspectral and multispectral image fusion. Inf. Fusion 104: 102148 (2024) - [j91]Xianming Liu, Shihong Wu, Wenrun Xiao, Chenhui Zhao, Chao Huang, Donghui Guo:
Performance improvement for the CMOS rail-to-rail amplifier via APSO-based design and SNN's training. Microelectron. J. 146: 106131 (2024) - [j90]Wenrun Xiao, Yanping Qiao, Xianming Liu, Xiaofeng Chen, Chao Huang, Donghui Guo:
A wideband inductorless LNA exploiting three-stage feedback and thermal noise canceling. Microelectron. J. 149: 106237 (2024) - [j89]Wenrun Xiao, Yanping Qiao, Xianming Liu, Xiaofeng Chen, Chao Huang, Donghui Guo:
A wideband inductorless LNA utilizing common-source noise-canceling and cascode configuration. Microelectron. J. 150: 106252 (2024) - [j88]Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao:
Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3577-3594 (2024) - [j87]Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
SPADNet: Structure Prior-Aware Dynamic Network for Face Super-Resolution. IEEE Trans. Biom. Behav. Identity Sci. 6(3): 326-340 (2024) - [j86]Ziqi Bai, Xianming Liu, Cheng Guo, Kui Jiang, Junjun Jiang, Xiangyang Ji:
HoloFormer: Contrastive Regularization Based Transformer for Holographic Image Reconstruction. IEEE Trans. Computational Imaging 10: 560-573 (2024) - [j85]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Decoupling Image Deblurring Into Twofold: A Hierarchical Model for Defocus Deblurring. IEEE Trans. Computational Imaging 10: 1207-1220 (2024) - [j84]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model With Group-Wise Token-Mixers for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9606-9619 (2024) - [j83]Xingyu Hu, Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Incrementally Adapting Pretrained Model Using Network Prior for Multi-Focus Image Fusion. IEEE Trans. Image Process. 33: 3950-3963 (2024) - [j82]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. IEEE Trans. Image Process. 33: 3964-3976 (2024) - [j81]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-Based Efficient Approach. IEEE Trans. Image Process. 33: 6071-6082 (2024) - [j80]Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7899-7910 (2024) - [j79]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12236-12250 (2024) - [j78]Gang Wu, Junjun Jiang, Xianming Liu:
A Practical Contrastive Learning Framework for Single-Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15834-15845 (2024) - [j77]Jinwang Pan, Xianming Liu, Yuanchao Bai, Deming Zhai, Junjun Jiang, Debin Zhao:
Illumination-Aware Low-Light Image Enhancement with Transformer and Auto-Knee Curve. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 254:1-254:23 (2024) - [c134]Chenyang Wang, Junjun Jiang, Kui Jiang, Xianming Liu:
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation. AAAI 2024: 5318-5326 - [c133]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. AAAI 2024: 5976-5984 - [c132]Kui Jiang, Junjun Jiang, Xianming Liu, Xin Xu, Xianzheng Ma:
FMRNet: Image Deraining via Frequency Mutual Revision. AAAI 2024: 12892-12900 - [c131]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CVPR Workshops 2024: 1-14 - [c130]Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CVPR 2024: 1303-1312 - [c129]Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs. ICLR 2024 - [c128]Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji:
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. ICLR 2024 - [c127]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in image Super-Resolution. ICME 2024: 1-6 - [c126]Yuchen Pan, Junjun Jiang, Kui Jiang, Xianming Liu:
Disentangled-Multimodal Privileged Knowledge Distillation for Depression Recognition with Incomplete Multimodal Data. ACM Multimedia 2024: 5712-5721 - [c125]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Harmony in Diversity: Improving All-in-One Image Restoration via Multi-Task Collaboration. ACM Multimedia 2024: 6015-6023 - [i87]Gang Wu, Junjun Jiang, Junpeng Jiang, Xianming Liu:
Transforming Image Super-Resolution: A ConvFormer-based Efficient Approach. CoRR abs/2401.05633 (2024) - [i86]Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun:
HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models. CoRR abs/2401.05870 (2024) - [i85]Chenyang Wang, Junjun Jiang, Xingyu Hu, Xianming Liu, Xiangyang Ji:
Enhancing Consistency and Mitigating Bias: A Data Replay Approach for Incremental Learning. CoRR abs/2401.06548 (2024) - [i84]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu:
Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression. CoRR abs/2401.14007 (2024) - [i83]Jian Liu, Xiaoshui Huang, Tianyu Huang, Lu Chen, Yuenan Hou, Shixiang Tang, Ziwei Liu, Wanli Ouyang, Wangmeng Zuo, Junjun Jiang, Xianming Liu:
A Comprehensive Survey on 3D Content Generation. CoRR abs/2402.01166 (2024) - [i82]Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu:
SDGE: Stereo Guided Depth Estimation for 360° Camera Sets. CoRR abs/2402.11791 (2024) - [i81]Jialei Xu, Xianming Liu, Junjun Jiang, Kui Jiang, Rui Li, Kai Cheng, Xiangyang Ji:
Unveiling the Depths: A Multi-Modal Fusion Framework for Challenging Scenarios. CoRR abs/2402.11826 (2024) - [i80]Jian Liu, Sipeng Zhang, Chuixin Kong, Wenyuan Zhang, Yuhang Wu, Yikang Ding, Borun Xu, Ruibo Ming, Donglai Wei, Xianming Liu:
OccTransformer: Improving BEVFormer for 3D camera-only occupancy prediction. CoRR abs/2402.18140 (2024) - [i79]Yuchen Pan, Junjun Jiang, Kui Jiang, Zhihao Wu, Keyuan Yu, Xianming Liu:
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition. CoRR abs/2402.18786 (2024) - [i78]Guoqing Zhang, Wenbo Zhao, Jian Liu, Xianming Liu:
REPS: Reconstruction-based Point Cloud Sampling. CoRR abs/2403.05047 (2024) - [i77]Yifan Mao, Jian Liu, Xianming Liu:
Stealing Stable Diffusion Prior for Robust Monocular Depth Estimation. CoRR abs/2403.05056 (2024) - [i76]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Exploiting Self-Supervised Constraints in Image Super-Resolution. CoRR abs/2404.00260 (2024) - [i75]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
SGCNeRF: Few-Shot Neural Rendering via Sparse Geometric Consistency Guidance. CoRR abs/2404.00992 (2024) - [i74]Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder:
The Third Monocular Depth Estimation Challenge. CoRR abs/2404.16831 (2024) - [i73]Daxin Li, Yuanchao Bai, Kai Wang, Junjun Jiang, Xianming Liu, Wen Gao:
GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression. CoRR abs/2405.01170 (2024) - [i72]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Mesh Denoising Transformer. CoRR abs/2405.06536 (2024) - [i71]Lingdong Kong, Shaoyuan Xie, Hanjiang Hu, Yaru Niu, Wei Tsang Ooi, Benoit R. Cottereau, Lai Xing Ng, Yuexin Ma, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Weichao Qiu, Wei Zhang, Xu Cao, Hao Lu, Ying-Cong Chen, Caixin Kang, Xinning Zhou, Chengyang Ying, Wentao Shang, Xingwei Wang, Yinpeng Dong, Bo Yang, Shengyin Jiang, Zeliang Ma, Dengyi Ji, Haiwen Li, Xingliang Huang, Yu Tian, Genghua Kou, Fan Jia, Yingfei Liu, Tiancai Wang, Ying Li, Xiaoshuai Hao, Yifan Yang, Hui Zhang, Mengchuan Wei, Yi Zhou, Haimei Zhao, Jing Zhang, Jinke Li, Xiao He, Xiaoqiang Cheng, Bingyang Zhang, Lirong Zhao, Dianlei Ding, Fangsheng Liu, Yixiang Yan, Hongming Wang, Nanfei Ye, Lun Luo, Yubo Tian, Yiwei Zuo, Zhe Cao, Yi Ren, Yunfan Li, Wenjie Liu, Xun Wu, Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Cunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu, Ziyan Wang, Chiwei Li, Shilong Li, Chendong Yuan, Songyue Yang, Wentao Liu, Peng Chen, Bin Zhou, Yubo Wang, Chi Zhang, Jianhang Sun, Hai Chen, Xiao Yang, Lizhong Wang, Dongyi Fu, Yongchun Lin, Huitong Yang, Haoang Li, Yadan Luo, Xianjing Cheng, Yong Xu:
The RoboDrive Challenge: Drive Anytime Anywhere in Any Condition. CoRR abs/2405.08816 (2024) - [i70]Yifan Mao, Ming Li, Jian Liu, Jiayang Liu, Zihan Qin, Chunxi Chu, Jialei Xu, Wenbo Zhao, Junjun Jiang, Xianming Liu:
DINO-SD: Champion Solution for ICRA 2024 RoboDepth Challenge. CoRR abs/2405.17102 (2024) - [i69]Yuru Xiao, Xianming Liu, Deming Zhai, Kui Jiang, Junjun Jiang, Xiangyang Ji:
Spatial Annealing Smoothing for Efficient Few-shot Neural Rendering. CoRR abs/2406.07828 (2024) - [i68]Jian Liu, Jianyu Wu, Hairun Xie, Guoqing Zhang, Jing Wang, Wei Liu, Wanli Ouyang, Junjun Jiang, Xianming Liu, Shixiang Tang, Miao Zhang:
AFBench: A Large-scale Benchmark for Airfoil Design. CoRR abs/2406.18846 (2024) - [i67]Guoqing Zhang, Wenbo Zhao, Jian Liu, Yuanchao Bai, Junjun Jiang, Xianming Liu:
PVContext: Hybrid Context Model for Point Cloud Compression. CoRR abs/2409.12724 (2024) - 2023
- [j76]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. ACM Comput. Surv. 55(2): 13:1-13:36 (2023) - [j75]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-Resolution: A Survey. ACM Comput. Surv. 55(14s): 301:1-301:36 (2023) - [j74]Wenrun Xiao, Jidong Diao, Yanping Qiao, Xianming Liu, Shan He, Donghui Guo:
Refined Self-calibration of an Inductorless Low-noise Amplifier with Non-intrusive Circuit. J. Electron. Test. 39(1): 41-55 (2023) - [j73]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation. Mach. Intell. Res. 20(6): 837-854 (2023) - [j72]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92: 127-138 (2023) - [j71]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning a 3D-CNN and Transformer prior for hyperspectral image super-resolution. Inf. Fusion 100: 101907 (2023) - [j70]Xianming Liu, Yinghui Chang, Weikang Wu, Zhixin Zhou, Hongyin Luo, Wenrun Xiao, Chao Huang, Donghui Guo:
Front-End Rectifier of Self-Compensation Matching with Parasitic Cancellation for Dual-Band RFID Tag. J. Circuits Syst. Comput. 32(18): 2350320:1-2350320:16 (2023) - [j69]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. J. Mach. Learn. Res. 24: 376:1-376:62 (2023) - [j68]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8094-8109 (2023) - [j67]Wenbo Zhao, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Implicit Point Clouds Upsampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12394-12407 (2023) - [j66]Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang:
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote. Sens. 15(10): 2574 (2023) - [j65]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. IEEE Trans. Biom. Behav. Identity Sci. 5(4): 435-448 (2023) - [j64]Hanzhang Wang, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention. IEEE Trans. Image Process. 32: 4114-4127 (2023) - [c124]Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Chenyang Wang, Junjun Jiang, Xianming Liu, Zhiwei Zhong, Dai Bin, Li Ruodi, Shengye Li:
Thermal Image Super-Resolution Challenge Results - PBVS 2023. CVPR Workshops 2023: 470-478 - [c123]Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang:
NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. CVPR Workshops 2023: 1922-1960 - [c122]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR 2023: 22356-22366 - [c121]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. IJCB 2023: 1-11 - [c120]Xianming Liu, Xianwu Mi, Yujun Song:
An Automation Analog IC Parameter Optimizing Design Method Based on Bayesian Optimization. ICEITSA 2023: 95-100 - [c119]Yeganeh Gharedaghi, Gene Cheung, Xianming Liu:
Retinex-based Image Denoising / Contrast Enhancement Using Gradient Graph Laplacian Regularizer. ICIP 2023: 2710-2714 - [c118]Feilong Zhang, Yinchuan Li, Shiyi Lin, Yunfeng Shao, Junjun Jiang, Xianming Liu:
Large Sparse Kernels for Federated Learning. Tiny Papers @ ICLR 2023 - [c117]Kai Wang, Yuanchao Bai, Deming Zhai, Daxin Li, Junjun Jiang, Xianming Liu:
Learning Lossless Compression for High Bit-Depth Medical Imaging. ICME 2023: 2549-2554 - [c116]Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji:
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation. ICML 2023: 41399-41413 - [i66]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-resolution: A Survey. CoRR abs/2302.09598 (2023) - [i65]Zhenyu Li, Zhipeng Zhang, Heng Fan, Yuan He, Ke Wang, Xianming Liu, Junjun Jiang:
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection. CoRR abs/2303.11243 (2023) - [i64]Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu:
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR abs/2303.14324 (2023) - [i63]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-depth Properties of Transformer. CoRR abs/2303.15198 (2023) - [i62]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. CoRR abs/2304.02923 (2023) - [i61]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023) - [i60]Yeganeh Gharedaghi, Gene Cheung, Xianming Liu:
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer. CoRR abs/2307.02625 (2023) - [i59]Lingdong Kong, Yaru Niu, Shaoyuan Xie, Hanjiang Hu, Lai Xing Ng, Benoit R. Cottereau, Ding Zhao, Liangjun Zhang, Hesheng Wang, Wei Tsang Ooi, Ruijie Zhu, Ziyang Song, Li Liu, Tianzhu Zhang, Jun Yu, Mohan Jing, Pengwei Li, Xiaohua Qi, Cheng Jin, Yingfeng Chen, Jie Hou, Jie Zhang, Zhen Kan, Qiang Ling, Liang Peng, Minglei Li, Di Xu, Changpeng Yang, Yuanqi Yao, Gang Wu, Jian Kuai, Xianming Liu, Junjun Jiang, Jiamian Huang, Baojun Li, Jiale Chen, Shuang Zhang, Sun Ao, Zhenyu Li, Runze Chen, Haiyong Luo, Fang Zhao, Jingze Yu:
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation. CoRR abs/2307.15061 (2023) - [i58]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR abs/2307.16140 (2023) - [i57]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR abs/2309.06023 (2023) - [i56]Meiling Fang, Marco Huber, Julian Fiérrez, Raghavendra Ramachandra, Naser Damer, Alhasan Alkhaddour, Maksim Kasantcev, Vasiliy Pryadchenko, Ziyuan Yang, Huijie Huangfu, Yingyu Chen, Yi Zhang, Yuchen Pan, Junjun Jiang, Xianming Liu, Xianyun Sun, Caiyong Wang, Xingyu Liu, Zhaohua Chang, Guangzhe Zhao, Juan E. Tapia, Lázaro J. González Soler, Carlos M. Aravena, Daniel Schulz:
SynFacePAD 2023: Competition on Face Presentation Attack Detection Based on Privacy-aware Synthetic Training Data. CoRR abs/2311.05336 (2023) - [i55]Xiong Zhou, Xianming Liu, Hanzhang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
On the Dynamics Under the Unhinged Loss and Beyond. CoRR abs/2312.07841 (2023) - 2022
- [j63]Yi Niu, Mingming Ma, Fu Li, Xianming Liu, Guangming Shi:
ACO: lossless quality score compression based on adaptive coding order. BMC Bioinform. 23(1): 219 (2022) - [j62]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-Aware Multi-Branch Network for Dual-Pixel Defocus Deblurring. IEEE CAA J. Autom. Sinica 9(5): 878-892 (2022) - [j61]Zhenyu Li, Junjun Jiang, Xianming Liu:
Self-Supervised Monocular Depth Estimation via Discrete Strategy and Uncertainty. IEEE CAA J. Autom. Sinica 9(7): 1307-1310 (2022) - [j60]Changxing Jiang, Xiaohua Lei, Yuru Chen, Shaojie Lv, Xianming Liu, Peng Zhang:
Silicone Rubber Fabry-Perot Pressure Sensor Based on a Spherical Optical Fiber End Face. Sensors 22(5): 1862 (2022) - [j59]Yuru Chen, Xiaohua Lei, Lin Xiao, Peng Zhang, Xianming Liu:
Dynamic Distance Measurement Based on a Fast Frequency-Swept Interferometry. Sensors 22(13): 4771 (2022) - [j58]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Deep Unfolding Network for Spatiospectral Image Super-Resolution. IEEE Trans. Computational Imaging 8: 28-40 (2022) - [j57]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Propagating Facial Prior Knowledge for Multitask Learning in Face Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7317-7331 (2022) - [j56]Hai Ren, Li Liu, Sinisa Djurovic, Li Ran, Xianming Liu, Hao Feng, Philip Mawby:
In Situ Contact Pressure Monitoring of Press Pack Power Module Using FBG Sensors. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j55]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion. IEEE Trans. Image Process. 31: 648-663 (2022) - [j54]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Multi-Task Interaction Learning for Spatiospectral Image Super-Resolution. IEEE Trans. Image Process. 31: 2950-2961 (2022) - [j53]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. IEEE Trans. Multim. 24: 3961-3977 (2022) - [j52]Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 33(2): 839-852 (2022) - [j51]Deming Zhai, Ruifeng Shi, Junjun Jiang, Xianming Liu:
Rectified Meta-learning from Noisy Labels for Robust Image-based Plant Disease Classification. ACM Trans. Multim. Comput. Commun. Appl. 18(1s): 30:1-30:17 (2022) - [j50]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Fully Unsupervised Person Re-Identification via Selective Contrastive Learning. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 64:1-64:15 (2022) - [c115]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. AAAI 2022: 104-112 - [c114]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. AAAI 2022: 1500-1508 - [c113]Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li, Xiangyang Ji:
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising. AAAI 2022: 3446-3453 - [c112]Junjun Jiang, Chenyang Wang, Xianming Liu, Kui Jiang, Jiayi Ma:
From Less to More: Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CVPR Workshops 2022: 266-275 - [c111]Rafael E. Rivadeneira, Angel Domingo Sappa, Boris Xavier Vintimilla, Jin Kim, Dogun Kim, Zhihao Li, Yingchun Jian, Bo Yan, Leilei Cao, Fengliang Qi, Hongbin Wang, Rongyuan Wu, Lingchen Sun, Yongqiang Zhao, Lin Li, Kai Wang, Yicheng Wang, Xuanming Zhang, Huiyuan Wei, Chonghua Lv, Qigong Sun, Xiaolin Tian, Zhuang Jia, Jiakui Hu, Chenyang Wang, Zhiwei Zhong, Xianming Liu, Junjun Jiang:
Thermal Image Super-Resolution Challenge Results - PBVS 2022. CVPR Workshops 2022: 417-425 - [c110]Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181 - [c109]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CVPR Workshops 2022: 1300-1309 - [c108]Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CVPR 2022: 1989-1997 - [c107]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CVPR 2022: 15324-15333 - [c106]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 71-91 - [c105]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. ECCV (9) 2022: 245-262 - [c104]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. ECCV Workshops (2) 2022: 507-523 - [c103]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion. ECCV (18) 2022: 719-735 - [c102]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards The Largest Margins. ICLR 2022 - [c101]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. ICML 2022: 27245-27267 - [c100]Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu:
Hybrid Conditional Deep Inverse Tone Mapping. ACM Multimedia 2022: 1016-1024 - [c99]Jinwang Pan, Deming Zhai, Yuanchao Bai, Junjun Jiang, Debin Zhao, Xianming Liu:
ChebyLighter: Optimal Curve Estimation for Low-light Image Enhancement. ACM Multimedia 2022: 1358-1366 - [c98]Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. ACM Multimedia 2022: 2730-2738 - [i54]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. CoRR abs/2203.03818 (2022) - [i53]Yiqi Zhong, Lei Wu, Xianming Liu, Junjun Jiang:
Exploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness. CoRR abs/2203.05323 (2022) - [i52]Zhenyu Li, Zehui Chen, Xianming Liu, Junjun Jiang:
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation. CoRR abs/2203.14211 (2022) - [i51]Zhenyu Li, Xuyang Wang, Xianming Liu, Junjun Jiang:
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation. CoRR abs/2204.00987 (2022) - [i50]Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji:
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. CoRR abs/2204.08196 (2022) - [i49]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang:
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training. CoRR abs/2204.11590 (2022) - [i48]Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu:
GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting. CoRR abs/2205.07162 (2022) - [i47]Chenyang Wang, Junjun Jiang, Xiong Zhou, Xianming Liu:
ReSmooth: Detecting and Utilizing OOD Samples when Training with Data Augmentation. CoRR abs/2205.12606 (2022) - [i46]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Learning Towards the Largest Margins. CoRR abs/2206.11589 (2022) - [i45]Xiong Zhou, Xianming Liu, Deming Zhai, Junjun Jiang, Xin Gao, Xiangyang Ji:
Prototype-Anchored Learning for Learning with Imperfect Annotations. CoRR abs/2206.11602 (2022) - [i44]Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. CoRR abs/2209.00961 (2022) - [i43]Yuanchao Bai, Xianming Liu, Kai Wang, Xiangyang Ji, Xiaolin Wu, Wen Gao:
Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression. CoRR abs/2209.04847 (2022) - [i42]Jialei Xu, Xianming Liu, Yuanchao Bai, Junjun Jiang, Kaixuan Wang, Xiaozhi Chen, Xiangyang Ji:
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation. CoRR abs/2210.02009 (2022) - [i41]Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun:
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. CoRR abs/2211.04470 (2022) - 2021
- [j49]Xurui Zheng, Fuyong Zheng, Xianming Liu, Dejun Wang, Jun Wang, Bo Meng:
A Secure and Policy-Controlled Signature Scheme With Strong Expressiveness and Privacy-Preserving Policy. IEEE Access 9: 14945-14957 (2021) - [j48]Peng Zhang, Ying Wang, Yuru Chen, Xiaohua Lei, Yi Qi, Jianghua Feng, Xianming Liu:
A High-Speed Demodulation Technology of Fiber Optic Extrinsic Fabry-Perot Interferometric Sensor Based on Coarse Spectrum. Sensors 21(19): 6609 (2021) - [j47]Qiang Li, Xianming Liu, Junjun Jiang, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Dual-Shot Deep Autofocusing. IEEE Trans. Computational Imaging 7: 124-136 (2021) - [j46]Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4697-4710 (2021) - [j45]Wenbo Zhao, Xianming Liu, Shiqi Wang, Xiaopeng Fan, Debin Zhao:
Graph-Based Feature-Preserving Mesh Normal Filtering. IEEE Trans. Vis. Comput. Graph. 27(3): 1937-1952 (2021) - [c97]Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji:
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. CVPR 2021: 10523-10531 - [c96]Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji:
Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression. CVPR 2021: 11946-11955 - [c95]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. ICCV 2021: 72-81 - [c94]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
Zero-Shot Multi-Focus Image Fusion. ICME 2021: 1-6 - [c93]Chenyang Wang, Junjun Jiang, Xianming Liu:
Heatmap-Aware Pyramid Face Hallucination. ICME 2021: 1-6 - [c92]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. ICML 2021: 12846-12856 - [c91]Jiliang Yan, Deming Zhai, Junjun Jiang, Xianming Liu:
Target-guided Adaptive Base Class Reweighting for Few-Shot Learning. ACM Multimedia 2021: 5335-5343 - [c90]Ziqian Liu, Qing Ma, Junjun Jiang, Xianming Liu:
Improving Hyperspectral Super-Resolution via Heterogeneous Knowledge Distillation. MMAsia 2021: 29:1-29:7 - [i40]Junjun Jiang, Chenyang Wang, Xianming Liu, Jiayi Ma:
Deep Learning-based Face Super-resolution: A Survey. CoRR abs/2101.03749 (2021) - [i39]Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji:
Learning Scalable $\ell_\infty$-constrained Near-lossless Image Compression via Joint Lossy Image and Residual Compression. CoRR abs/2103.17015 (2021) - [i38]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Zhiwen Chen, Xiangyang Ji:
High-resolution Depth Maps Imaging via Attention-based Hierarchical Multi-modal Fusion. CoRR abs/2104.01530 (2021) - [i37]Andrey Ignatov, Grigory Malivenko, David Plowman, Samarth Shukla, Radu Timofte, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Yiran Wang, Xingyi Li, Min Shi, Ke Xian, Zhiguo Cao, Jin-Hua Du, Pei-Lin Wu, Chao Ge, Jiaoyang Yao, Fangwen Tu, Bo Li, Jung Eun Yoo, Kwanggyoon Seo, Jialei Xu, Zhenyu Li, Xianming Liu, Junjun Jiang, Wei-Chi Chen, Shayan Joya, Huanhuan Fan, Zhaobing Kang, Ang Li, Tianpeng Feng, Yang Liu, Chuannan Sheng, Jian Yin, Fausto T. Benavide:
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08630 (2021) - [i36]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring. CoRR abs/2105.14766 (2021) - [i35]Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji:
Asymmetric Loss Functions for Learning with Noisy Labels. CoRR abs/2106.03110 (2021) - [i34]Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Learning with Noisy Labels via Sparse Regularization. CoRR abs/2108.00192 (2021) - [i33]Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Spectral Splitting and Aggregation Network for Hyperspectral Face Super-Resolution. CoRR abs/2108.13584 (2021) - [i32]Jialei Xu, Yuanchao Bai, Xianming Liu, Junjun Jiang, Xiangyang Ji:
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data. CoRR abs/2109.11573 (2021) - [i31]Qing Ma, Junjun Jiang, Xianming Liu, Jiayi Ma:
Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution. CoRR abs/2111.13923 (2021) - [i30]Gang Wu, Junjun Jiang, Xianming Liu, Jiayi Ma:
A Practical Contrastive Learning Framework for Single Image Super-Resolution. CoRR abs/2111.13924 (2021) - [i29]Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao:
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations. CoRR abs/2112.04680 (2021) - [i28]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Deep Attentional Guided Image Filtering. CoRR abs/2112.06401 (2021) - [i27]Yuanchao Bai, Xu Yang, Xianming Liu, Junjun Jiang, Yaowei Wang, Xiangyang Ji, Wen Gao:
Towards End-to-End Image Compression and Analysis with Transformers. CoRR abs/2112.09300 (2021) - 2020
- [j44]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. IEEE Trans. Computational Imaging 6: 1082-1096 (2020) - [j43]Yongbing Zhang, Yihui Feng, Xianming Liu, Deming Zhai, Xiangyang Ji, Haoqian Wang, Qionghai Dai:
Color-Guided Depth Image Recovery With Adaptive Data Fidelity and Transferred Graph Laplacian Regularization. IEEE Trans. Circuits Syst. Video Technol. 30(2): 320-333 (2020) - [j42]Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao:
Single-Image Blind Deblurring Using Multi-Scale Latent Structure Prior. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2033-2045 (2020) - [j41]Xianming Liu, Deming Zhai, Yuanchao Bai, Xiangyang Ji, Wen Gao:
Contrast Enhancement via Dual Graph Total Variation-Based Image Decomposition. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2463-2476 (2020) - [j40]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. IEEE Trans. Image Process. 29: 3695-3706 (2020) - [c89]Chenyang Wang, Zhiwei Zhong, Junjun Jiang, Deming Zhai, Xianming Liu:
Parsing Map Guided Multi-Scale Attention Network For Face Hallucination. ICASSP 2020: 2518-2522 - [c88]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-Based Deep Residual Network for Hyperspectral Image Denoising. ICASSP 2020: 2668-2672 - [c87]Zhanjian Shen, Deming Zhai, Xianming Liu, Junjun Jiang:
Semi-Supervised Graph Convolutional Hashing Network For Large-Scale Cross-Modal Retrieval. ICIP 2020: 2366-2370 - [c86]Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. ICLR 2020 - [c85]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. ACM Multimedia 2020: 375-383 - [i26]Yongsen Zhao, Deming Zhai, Junjun Jiang, Xianming Liu:
ADRN: Attention-based Deep Residual Network for Hyperspectral Image Denoising. CoRR abs/2003.01947 (2020) - [i25]Qiang Li, Xianming Liu, Kaige Han, Cheng Guo, Xiangyang Ji, Xiaolin Wu:
Rapid Whole Slide Imaging via Learning-based Two-shot Virtual Autofocusing. CoRR abs/2003.06630 (2020) - [i24]Ruifeng Shi, Deming Zhai, Xianming Liu, Junjun Jiang, Wen Gao:
Rectified Meta-Learning from Noisy Labels for Robust Image-based Plant Disease Diagnosis. CoRR abs/2003.07603 (2020) - [i23]Junjun Jiang, He Sun, Xianming Liu, Jiayi Ma:
Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery. CoRR abs/2005.08752 (2020) - [i22]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Single Image Deraining via Scale-space Invariant Attention Neural Network. CoRR abs/2006.05049 (2020) - [i21]Wei Hu, Jiahao Pang, Xianming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro:
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications. CoRR abs/2008.01918 (2020) - [i20]Xinyu Gong, Wuyang Chen, Yifan Jiang, Ye Yuan, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
AutoPose: Searching Multi-Scale Branch Aggregation for Pose Estimation. CoRR abs/2008.07018 (2020) - [i19]Bo Pang, Deming Zhai, Junjun Jiang, Xianming Liu:
Unsupervised Constrative Person Re-identification. CoRR abs/2010.07608 (2020)
2010 – 2019
- 2019
- [j39]Xianming Liu, Guangyue Han:
On Continuous-Time Gaussian Channels. Entropy 21(1): 67 (2019) - [j38]Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. IEEE Trans. Geosci. Remote. Sens. 57(2): 851-865 (2019) - [j37]Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Wen Gao:
Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior. IEEE Trans. Ind. Electron. 66(12): 9601-9611 (2019) - [j36]Junjun Jiang, Yi Yu, Zheng Wang, Xianming Liu, Jiayi Ma:
Graph-Regularized Locality-Constrained Joint Dictionary and Residual Learning for Face Sketch Synthesis. IEEE Trans. Image Process. 28(2): 628-641 (2019) - [j35]Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao:
Depth Restoration From RGB-D Data via Joint Adaptive Regularization and Thresholding on Manifolds. IEEE Trans. Image Process. 28(3): 1068-1079 (2019) - [j34]Xianming Liu, Gene Cheung, Xiangyang Ji, Debin Zhao, Wen Gao:
Graph-Based Joint Dequantization and Contrast Enhancement of Poorly Lit JPEG Images. IEEE Trans. Image Process. 28(3): 1205-1219 (2019) - [j33]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Graph-Based Blind Image Deblurring From a Single Photograph. IEEE Trans. Image Process. 28(3): 1404-1418 (2019) - [j32]Xianming Liu, Deming Zhai, Rong Chen, Xiangyang Ji, Debin Zhao, Wen Gao:
Depth Super-Resolution via Joint Color-Guided Internal and External Regularizations. IEEE Trans. Image Process. 28(4): 1636-1645 (2019) - [c84]Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi:
NTIRE 2019 Challenge on Image Enhancement: Methods and Results. CVPR Workshops 2019: 2224-2232 - [c83]Yuanchao Bai, Gene Cheung, Fen Wang, Xianming Liu, Wen Gao:
Reconstruction-cognizant Graph Sampling Using Gershgorin Disc Alignment. ICASSP 2019: 5396-5400 - [c82]Dario Fuoli, Xiaoyong Shen, Shutao Xia, Yurong Dai, Jiaya Jia, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Zhiwei Zhong, Shuhang Gu, Chenyang Wang, Junjun Jiang, Xianming Liu, Radu Timofte, Xin Tao, Wenbo Li, Taian Guo, Zijun Deng, Liying Lu, Tao Dai:
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results. ICCV Workshops 2019: 3467-3475 - [c81]He Sun, Zhiwei Zhong, Deming Zhai, Xianming Liu, Junjun Jiang:
Hyperspectral Image Super-Resolution Using Multi-scale Feature Pyramid Network. IFTC 2019: 49-61 - [c80]Jiliang Yan, Deming Zhai, Yi Niu, Xianming Liu, Junjun Jiang:
Multi-Scale Depthwise Separable Convolutional Neural Network for Hyperspectral Image Classification. IFTC 2019: 171-185 - [c79]Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai Shitz:
An Elementary Proof of a Classical Information-Theoretic Formula. ISIT 2019: 1392-1396 - [i18]Wenbo Zhao, Xianming Liu, Yongsen Zhao, Xiaopeng Fan, Debin Zhao:
NormalNet: Learning based Guided Normal Filtering for Mesh Denoising. CoRR abs/1903.04015 (2019) - [i17]Yuanchao Bai, Huizhu Jia, Ming Jiang, Xianming Liu, Xiaodong Xie, Wen Gao:
Single Image Blind Deblurring Using Multi-Scale Latent Structure Prior. CoRR abs/1906.04442 (2019) - [i16]Tao Hu, Lichao Huang, Xianming Liu, Han Shen:
Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network. CoRR abs/1908.00692 (2019) - [i15]Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang:
FasterSeg: Searching for Faster Real-time Semantic Segmentation. CoRR abs/1912.10917 (2019) - 2018
- [j31]Ningkui Wang, Xianming Liu, Daijun Wei:
A Modified D Numbers' Integration for Multiple Attributes Decision Making. Int. J. Fuzzy Syst. 20(1): 104-115 (2018) - [j30]Ningkui Wang, Zhixuan Wang, Xianming Liu, Daijun Wei:
Optimal route selection based on Monte Carlo method and adaptive amoeba algorithm under uncertain environment. Int. J. Parallel Emergent Distributed Syst. 33(2): 157-171 (2018) - [j29]Deming Zhai, Xianming Liu, Hong Chang, Yi Zhen, Xilin Chen, Maozu Guo, Wen Gao:
Parametric local multiview hamming distance metric learning. Pattern Recognit. 75: 250-262 (2018) - [j28]Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao, Wen Gao:
Prior-Based Quantization Bin Matching for Cloud Storage of JPEG Images. IEEE Trans. Image Process. 27(7): 3222-3235 (2018) - [j27]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Xinchao Wang, Thomas S. Huang:
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach. IEEE Trans. Image Process. 27(7): 3432-3445 (2018) - [j26]Yutao Liu, Guangtao Zhai, Ke Gu, Xianming Liu, Debin Zhao, Wen Gao:
Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation. IEEE Trans. Multim. 20(2): 379-391 (2018) - [j25]Deming Zhai, Xianming Liu, Xiangyang Ji, Debin Zhao, Shin'ichi Satoh, Wen Gao:
Supervised Distributed Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 20(3): 675-686 (2018) - [c78]Qiang Song, Ruiqin Xiong, Xiaopeng Fan, Xianming Liu, Tiejun Huang, Wen Gao:
Compressed Image Restoration via External-Image Assisted Band Adaptive PCA Model Learning. DCC 2018: 97-106 - [c77]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Blind Image Deblurring Via Reweighted Graph Total Variation. ICASSP 2018: 1822-1826 - [c76]Zhaohui Che, Guangtao Zhai, Jing Liu, Ke Gu, Patrick Le Callet, Jiantao Zhou, Xianming Liu:
A Blind Quality Measure for Industrial 2D Matrix Symbols Using Shallow Convolutional Neural Network. ICIP 2018: 2481-2485 - [c75]Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao:
Noise-Aware Super-Resolution of Depth Maps Via Graph-Based Plug-And-Play Framework. ICIP 2018: 2536-2540 - [c74]Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. IJCAI 2018: 842-848 - [c73]Zhaohui Che, Guangtao Zhai, Ke Gu, Patrick Le Callet, Xianming Liu, Deming Zhai, Xiao Gu:
Adaptive Screen Content Image Enhancement Strategy using Layer-based Segmentation. ISCAS 2018: 1-5 - [c72]Rong Chen, Deming Zhai, Xianming Liu, Debin Zhao:
Color-Guided Depth Map Super-Resolution via Joint Graph Laplacian and Gradient Consistency Regularization. MMSP 2018: 1-5 - [c71]Deming Zhai, Ao Li, Yang Li, Yang Liu, GuoJun Liu, Xianming Liu, Maozu Guo:
Discrete Manifold-Regularized Collaborative Filtering for Large-Scale Recommender Systems. PCM (1) 2018: 513-523 - [i14]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Graph-Based Blind Image Deblurring From a Single Photograph. CoRR abs/1802.07929 (2018) - [i13]Xianming Liu, Ronit Bustin, Guangyue Han, Shlomo Shamai:
An Elementary Proof of a Classical Information-Theoretic Formula. CoRR abs/1809.01422 (2018) - [i12]Ding Liu, Bihan Wen, Jianbo Jiao, Xianming Liu, Zhangyang Wang, Thomas S. Huang:
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning. CoRR abs/1809.01826 (2018) - [i11]Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xianming Liu:
Hyperspectral Image Classification in the Presence of Noisy Labels. CoRR abs/1809.04212 (2018) - 2017
- [j24]Yutao Liu, Ke Gu, Guangtao Zhai, Xianming Liu, Debin Zhao, Wen Gao:
Quality assessment for real out-of-focus blurred images. J. Vis. Commun. Image Represent. 46: 70-80 (2017) - [j23]Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao:
Random Walk Graph Laplacian-Based Smoothness Prior for Soft Decoding of JPEG Images. IEEE Trans. Image Process. 26(2): 509-524 (2017) - [j22]Xianming Liu, Deming Zhai, Jiantao Zhou, Shiqi Wang, Debin Zhao, Huijun Gao:
Sparsity-Based Image Error Concealment via Adaptive Dual Dictionary Learning and Regularization. IEEE Trans. Image Process. 26(2): 782-796 (2017) - [j21]Xinchao Wang, Bin Fan, Shiyu Chang, Zhangyang Wang, Xianming Liu, Dacheng Tao, Thomas S. Huang:
Greedy Batch-Based Minimum-Cost Flows for Tracking Multiple Objects. IEEE Trans. Image Process. 26(10): 4765-4776 (2017) - [j20]Shiqi Wang, Xinfeng Zhang, Xianming Liu, Jian Zhang, Siwei Ma, Wen Gao:
Utility-Driven Adaptive Preprocessing for Screen Content Video Compression. IEEE Trans. Multim. 19(3): 660-667 (2017) - [c70]Ding Liu, Zhaowen Wang, Yuchen Fan, Xianming Liu, Zhangyang Wang, Shiyu Chang, Thomas S. Huang:
Robust Video Super-Resolution with Learned Temporal Dynamics. ICCV 2017: 2526-2534 - [c69]Yihui Feng, Xianming Liu, Yongbing Zhang, Qionghai Dai:
Single depth image super-resolution and denoising based on sparse graphs via structure tensor. ICIP 2017: 4063-4067 - [c68]Wei Sun, Guangtao Zhai, Xiongkuo Min, Yutao Liu, Siwei Ma, Jing Liu, Jiantao Zhou, Xianming Liu:
Dynamic backlight scaling considering ambient luminance for mobile energy saving. ICME 2017: 25-30 - [c67]Rong Chen, Xianming Liu, Deming Zhai, Debin Zhao:
Depth Image Denoising via Collaborative Graph Fourier Transform. IFTC 2017: 128-137 - [c66]Yadan Zhao, Yutao Liu, Feng Jiang, Xianming Liu, Debin Zhao:
Fast Noisy Image Quality Assessment Based on Free-Energy Principle. IFTC 2017: 290-299 - [c65]Wenbo Zhao, Xianming Liu, Shiqi Wang, Debin Zhao:
Multi-scale Similarity Enhanced Guided Normal Filtering. PCM (2) 2017: 645-653 - [i10]Xianming Liu, Guangyue Han:
On Continuous-Time Gaussian Channels. CoRR abs/1704.02569 (2017) - [i9]Ding Liu, Bihan Wen, Xianming Liu, Thomas S. Huang:
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach. CoRR abs/1706.04284 (2017) - [i8]Amy Zhang, Xianming Liu, Andreas Gros, Tobias Tiecke:
Building Detection from Satellite Images on a Global Scale. CoRR abs/1707.08952 (2017) - [i7]Tobias G. Tiecke, Xianming Liu, Amy Zhang, Andreas Gros, Nan Li, Gregory Yetman, Talip Kilic, Siobhan Murray, Brian Blankespoor, Espen B. Prydz, Hai-Anh H. Dang:
Mapping the world population one building at a time. CoRR abs/1712.05839 (2017) - [i6]Yuanchao Bai, Gene Cheung, Xianming Liu, Wen Gao:
Blind Image Deblurring via Reweighted Graph Total Variation. CoRR abs/1712.08877 (2017) - 2016
- [b1]Xianming Liu:
Feedback convolutional neural network in applications of computer vision. University of Illinois Urbana-Champaign, USA, 2016 - [j19]Jiantao Zhou, Weiwei Sun, Li Dong, Xianming Liu, Oscar C. Au, Yuan Yan Tang:
Secure Reversible Image Data Hiding Over Encrypted Domain via Key Modulation. IEEE Trans. Circuits Syst. Video Technol. 26(3): 441-452 (2016) - [j18]Yuanman Li, Jiantao Zhou, An Cheng, Xianming Liu, Yuan Yan Tang:
SIFT Keypoint Removal and Injection via Convex Relaxation. IEEE Trans. Inf. Forensics Secur. 11(8): 1722-1735 (2016) - [j17]Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao:
Data-Driven Soft Decoding of Compressed Images in Dual Transform-Pixel Domain. IEEE Trans. Image Process. 25(4): 1649-1659 (2016) - [j16]Xianming Liu, Deming Zhai, Jiantao Zhou, Xinfeng Zhang, Debin Zhao, Wen Gao:
Compressive Sampling-Based Image Coding for Resource-Deficient Visual Communication. IEEE Trans. Image Process. 25(6): 2844-2855 (2016) - [j15]Xinfeng Zhang, Weisi Lin, Ruiqin Xiong, Xianming Liu, Siwei Ma, Wen Gao:
Low-Rank Decomposition-Based Restoration of Compressed Images via Adaptive Noise Estimation. IEEE Trans. Image Process. 25(9): 4158-4171 (2016) - [j14]Shiqi Wang, Ke Gu, Siwei Ma, Weisi Lin, Xianming Liu, Wen Gao:
Guided Image Contrast Enhancement Based on Retrieved Images in Cloud. IEEE Trans. Multim. 18(2): 219-232 (2016) - [c64]Xianming Liu, Gene Cheung, Chia-Wen Lin, Debin Zhao:
Quantization bin matching for cloud storage of JPEG images. ICASSP 2016: 1372-1376 - [c63]Xiongkuo Min, Guangtao Zhai, Ke Gu, Yuming Fang, Xiaokang Yang, Xiaolin Wu, Jiantao Zhou, Xianming Liu:
Blind quality assessment of compressed images via pseudo structural similarity. ICME 2016: 1-6 - [c62]Wenbo Zhao, Xianming Liu, Jiantao Zhou, Debin Zhao, Wen Gao:
Mesh Denoising with Local Guided Normal Filtering and Non-local Similarity. IFTC 2016: 176-184 - [c61]Yutao Liu, Guangtao Zhai, Xianming Liu, Debin Zhao:
Perceptual image quality assessment combining free-energy principle and sparse representation. ISCAS 2016: 1586-1589 - [c60]Yu-Chieh Ho, Xianming Liu, Jane Yung-jen Hsu, Thomas S. Huang:
Consensus Oriented Recommendation. ISCID (1) 2016: 294-297 - [i5]Xianming Liu, Min-Hsuan Tsai, Thomas S. Huang:
Analyzing User Preference for Social Image Recommendation. CoRR abs/1604.07044 (2016) - [i4]Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao:
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images. CoRR abs/1607.01895 (2016) - [i3]Xianming Liu, Amy Zhang, Tobias Tiecke, Andreas Gros, Thomas S. Huang:
Feedback Neural Network for Weakly Supervised Geo-Semantic Segmentation. CoRR abs/1612.02766 (2016) - 2015
- [j13]Wei Lai, Xianming Liu, Weimin Chen, Xiaohua Lei, Xiaosheng Tang, Zhigang Zang:
Transient multiexponential signals analysis using Bayesian deconvolution. Appl. Math. Comput. 265: 486-493 (2015) - [j12]Xianming Liu, Xinwei Gao, Debin Zhao, Jiantao Zhou, Guangtao Zhai, Wen Gao:
Model-based low bit-rate video coding for resource-deficient wireless visual communication. Neurocomputing 162: 180-190 (2015) - [j11]Liujuan Cao, Xianming Liu, Wei Liu, Rongrong Ji, Thomas S. Huang:
Localizing web videos using social images. Inf. Sci. 302: 122-131 (2015) - [j10]Wei Lai, Xianming Liu, Weimin Chen, Xiaohua Lei, Xueying Cao:
Dynamic compact thermal model of high power light emitting diode. Microelectron. Reliab. 55(12): 2663-2670 (2015) - [c59]Xianming Liu, Rongrong Ji, Changhu Wang, Wei Liu, Bineng Zhong, Thomas S. Huang:
Understanding image structure via hierarchical shape parsing. CVPR 2015: 5042-5050 - [c58]Xianming Liu, Xiaolin Wu, Jiantao Zhou, Debin Zhao:
Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain. CVPR 2015: 5171-5178 - [c57]Xianming Liu, Gene Cheung, Xiaolin Wu:
Joint denoising and contrast enhancement of images using graph laplacian operator. ICASSP 2015: 2274-2278 - [c56]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c55]Xianming Liu, Gene Cheung, Xiaolin Wu, Debin Zhao:
Inter-block consistent soft decoding of JPEG images with sparsity and graph-signal smoothness priors. ICIP 2015: 1628-1632 - [c54]Yutao Liu, Guangtao Zhai, Debin Zhao, Xianming Liu:
Frame Rate and Perceptual Quality for HD Video. PCM (2) 2015: 497-505 - [c53]Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao:
Sparsity-based joint gaze correction and face beautification for conferencing video. VCIP 2015: 1-4 - [c52]Yutao Liu, Guangtao Zhai, Xianming Liu, Debin Zhao:
Quality assessment for out-of-focus blurred images. VCIP 2015: 1-4 - [i2]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - 2014
- [j9]Pengfei Xu, Hongxun Yao, Rongrong Ji, Xianming Liu, Xiaoshuai Sun:
Where should I stand? Learning based human position recommendation for mobile photographing. Multim. Tools Appl. 69(1): 3-29 (2014) - [j8]Jiantao Zhou, Xianming Liu, Oscar C. Au, Yuan Yan Tang:
Designing an Efficient Image Encryption-Then-Compression System via Prediction Error Clustering and Random Permutation. IEEE Trans. Inf. Forensics Secur. 9(1): 39-50 (2014) - [j7]Jiantao Zhou, Oscar C. Au, Guangtao Zhai, Yuan Yan Tang, Xianming Liu:
Scalable Compression of Stream Cipher Encrypted Images Through Context-Adaptive Sampling. IEEE Trans. Inf. Forensics Secur. 9(11): 1857-1868 (2014) - [j6]Xianming Liu, Debin Zhao, Jiantao Zhou, Wen Gao, Huifang Sun:
Image Interpolation via Graph-Based Bayesian Label Propagation. IEEE Trans. Image Process. 23(3): 1084-1096 (2014) - [j5]Xianming Liu, Deming Zhai, Debin Zhao, Guangtao Zhai, Wen Gao:
Progressive Image Denoising Through Hybrid Graph Laplacian Regularization: A Unified Framework. IEEE Trans. Image Process. 23(4): 1491-1503 (2014) - [j4]Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Xianming Liu:
Toward Statistical Modeling of Saccadic Eye-Movement and Visual Saliency. IEEE Trans. Image Process. 23(11): 4649-4662 (2014) - [c51]Xianming Liu, Xiaolin Wu, Debin Zhao:
Multiple Description Image Coding with Local Random Measurements. DCC 2014: 123-132 - [c50]Xianming Liu, Gene Cheung, Deming Zhai, Debin Zhao, Hiroshi Sankoh, Sei Naito:
Joint gaze-correction and beautification of DIBR-synthesized human face via dual sparse coding. ICIP 2014: 4697-4701 - [c49]Li Dong, Jiantao Zhou, Yuan Yan Tang, Xianming Liu:
Estimation of capacity parameters for dynamic histogram shifting (DHS)-based reversible image watermarking. ICME 2014: 1-6 - [c48]Xianming Liu, Guangyue Han:
Recent results in continuous-time network information theory. ISIT 2014: 2421-2425 - [p1]Shiyu Chang, Wei Han, Xianming Liu, Ning Xu, Pooya Khorrami, Thomas S. Huang:
Multimedia Classification. Data Classification: Algorithms and Applications 2014: 337-364 - [i1]Xianming Liu, Guangyue Han:
Recent Results in Continuous-Time Network Information Theory. CoRR abs/1401.3529 (2014) - 2013
- [j3]Xianming Liu, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xiaoshuai Sun:
Bidirectional-isomorphic manifold learning at image semantic understanding & representation. Multim. Tools Appl. 64(1): 53-76 (2013) - [c47]Xianming Liu, Yue Gao, Rongrong Ji, Shiyu Chang, Thomas S. Huang:
Localizing Web Videos from Heterogeneous Images. AAAI (Late-Breaking Developments) 2013 - [c46]Xianming Liu, Deming Zhai, Debin Zhao, Wen Gao:
Image Super-Resolution via Hierarchical and Collaborative Sparse Representation. DCC 2013: 93-102 - [c45]Deming Zhai, Xianming Liu, Debin Zhao, Hong Chang, Wen Gao:
Progressive Image Restoration through Hybrid Graph Laplacian Regularization. DCC 2013: 103-112 - [c44]Jiantao Zhou, Xianming Liu, Oscar C. Au:
On the design of an efficient encryption-then-compression system. ICASSP 2013: 2872-2876 - [c43]Pengfei Xu, Xianming Liu, Hongxun Yao, Yanhao Zhang, Shaopeng Tang:
Structured Textons for texture representation. ICIP 2013: 240-244 - [c42]Xianming Liu, Xiaolin Wu, Debin Zhao:
Sparsity-based soft decoding of compressed images in transform domain. ICIP 2013: 563-566 - [c41]Deming Zhai, Xianming Liu, Jiantao Zhou, Debin Zhao, Wen Gao:
Spatial error concealment via model based coupled sparse representation. ICME Workshops 2013: 1-4 - [c40]Jianglin Qu, Xianming Liu:
Design and Application of the Feedback and Tracking System for Nuclear Power Unit Maintenance Technical Issues. IIH-MSP 2013: 649-651 - [c39]Deming Zhai, Hong Chang, Yi Zhen, Xianming Liu, Xilin Chen, Wen Gao:
Parametric Local Multimodal Hashing for Cross-View Similarity Search. IJCAI 2013: 2754-2760 - [c38]Reza Pournaghi, Xiaolin Wu, Xianming Liu:
Low bit-rate image coding via local random down-sampling. PCS 2013: 329-332 - 2012
- [j2]Rongrong Ji, Hongxun Yao, Qi Tian, Pengfei Xu, Xiaoshuai Sun, Xianming Liu:
Context-Aware Semi-Local Feature Detector. ACM Trans. Intell. Syst. Technol. 3(3): 44:1-44:27 (2012) - [c37]Xianming Liu, Changhu Wang, Hongxun Yao, Lei Zhang:
The scale of edges. CVPR 2012: 462-469 - [c36]Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Ruiqin Xiong, Wen Gao:
Multi-scale Spatial Error Concealment via Hybrid Bayesian Regression. DCC 2012: 169-178 - [c35]Xianming Liu, Deming Zhai, Guangtao Zhai, Debin Zhao, Wen Gao:
Web image interpolation via weighted total least squares regression. ICASSP 2012: 925-928 - [c34]Xianming Liu, Xiaolin Wu, Xinwei Gao, Debin Zhao, Wen Gao:
Low bit-rate video coding via mode-dependent adaptive regression for wireless visual communications. VCIP 2012: 1-6 - 2011
- [j1]Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Huifang Sun:
Image Interpolation Via Regularized Local Linear Regression. IEEE Trans. Image Process. 20(12): 3455-3469 (2011) - [c33]Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao, Huifang Sun:
Transductive Regression with Local and Global Consistency for Image Super-Resolution. DCC 2011: 173-182 - [c32]Yanhao Zhang, Hongxun Yao, Pengfei Xu, Rongrong Ji, Xiaoshuai Sun, Xianming Liu:
Video stabilization based on saliency driven SIFT matching and discriminative RANSAC. ICIMCS 2011: 65-69 - [c31]Wei Yu, Hongxun Yao, Xianming Liu, Rongrong Ji, Xiaoshuai Sun, Pengfei Xu:
Contextual dictionaries for image super resolution. ICIMCS 2011: 150-153 - [c30]Pengfei Xu, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun, Xianming Liu:
A spatiotemporal context phrase description for general dynamic texture. ICIMCS 2011: 154-157 - [c29]Xue Li, Hongxun Yao, Xiaoshuai Sun, Rongrong Ji, Xianming Liu, Pengfei Xu:
Sparse representation based visual element analysis. ICIP 2011: 657-660 - [c28]Xianming Liu, Deming Zhai, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao:
Side information extrapolation with temporal and spatial consistency. ISCAS 2011: 2918-2921 - [c27]Xianming Liu, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xiaoshuai Sun, Qi Tian:
Learning heterogeneous data for hierarchical web video classification. ACM Multimedia 2011: 433-442 - [c26]Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Xianming Liu, Pengfei Xu:
Unsupervised fast anomaly detection in crowds. ACM Multimedia 2011: 1469-1472 - [c25]Sicheng Zhao, Hongxun Yao, Xiaoshuai Sun, Pengfei Xu, Xianming Liu, Rongrong Ji:
Video indexing and recommendation based on affective analysis of viewers. ACM Multimedia 2011: 1473-1476 - 2010
- [c24]Xianming Liu, Hongxun Yao, Rongrong Ji:
Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords. ICASSP 2010: 802-805 - [c23]Xianming Liu, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xiaoshuai Sun, Qi Tian:
Visual topic model for web image annotation. ICIMCS 2010: 126-130 - [c22]Pengfei Xu, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun, Xianming Liu:
A robust texture descriptor using multifractal analysis with Gabor filter. ICIMCS 2010: 147-150 - [c21]Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xianming Liu, Shaohui Liu:
Visual saliency as sequential eye fixation probability. ICIP 2010: 1093-1096 - [c20]Xiaoshuai Sun, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xianming Liu, Shaohui Liu:
Saliency detection based on short-term sparse representation. ICIP 2010: 1101-1104 - [c19]Aiguo Yi, Xianming Liu, Xiaopeng Fan, Debin Zhao:
A Fast Video Transcoder from Wyner-Ziv to AVS. PCM (2) 2010: 328-339 - [c18]Xianming Liu, Debin Zhao, Ruiqin Xiong, Siwei Ma, Wen Gao:
Image interpolation via regularized local linear regression. PCS 2010: 118-121 - [c17]Xianming Liu, Debin Zhao, Siwei Ma, Wen Gao:
Side information enhancement via texture and motion activity analysis in distributed video coding. VCIP 2010: 77442E - [c16]Pengfei Xu, Hongxun Yao, Rongrong Ji, Xiaoshuai Sun, Xianming Liu:
A rotation and scale invariant texture description approach. VCIP 2010: 77442T
2000 – 2009
- 2009
- [c15]Kun Yuan, Rongrong Ji, Hongxun Yao, Xiaoshuai Sun, Pengfei Xu, Xianming Liu:
VisualCor system: search actor correlations in TV series. ICIMCS 2009: 213-218 - [c14]Xianming Liu, Debin Zhao, Yongbing Zhang, Siwei Ma, Qingming Huang, Wen Gao:
Joint learning for side information and correlation model based on linear regression model in distributed video coding. ICIP 2009: 2937-2940 - [c13]Xianming Liu, Hongxun Yao, Rongrong Ji, Pengfei Xu, Xiaoshuai Sun:
What is a complete set of keywords for image description & annotation on the web. ACM Multimedia 2009: 613-616 - [c12]Defen Zhang, Shixian Li, Xianming Liu:
An Approach for Model Composition and Verification. NCM 2009: 1102-1107 - [c11]Yongpeng Li, Hongbin Liu, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao:
Multi-hypothesis based multi-view distributed video coding. PCS 2009: 1-4 - [c10]Hongbin Liu, Yongpeng Li, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao:
Two-pass reconstruction in distributed video coding. PCS 2009: 1-4 - [c9]Hongbin Liu, Yongpeng Li, Xianming Liu, Siwei Ma, Debin Zhao, Wen Gao:
Improved low delay distributed video coding. PCS 2009: 1-4 - [c8]Xianming Liu, Yongbing Zhang, Yongpeng Li, Hongbin Liu, Siwei Ma, Debin Zhao:
Local adaptive learning and fusion for side information interpolation in distributed video coding. PCS 2009: 1-4 - 2008
- [c7]Pengfei Xu, Rongrong Ji, Hongxun Yao, Xiaoshuai Sun, Tianqiang Liu, Xianming Liu:
Text Particles Multi-band Fusion for Robust Text Detection. ICIAR 2008: 587-596 - [c6]Rongrong Ji, Hongxun Yao, Jicheng Wang, Pengfei Xu, Xianming Liu:
Clustering-based subspace SVM ensemble for relevance feedback learning. ICME 2008: 1221-1224 - [c5]Xianming Liu, Rongrong Ji, Hongxun Yao, Pengfei Xu, Xiaoshuai Sun, Tianqiang Liu:
Cross-media manifold learning for image retrieval & annotation. Multimedia Information Retrieval 2008: 141-148 - [c4]Xiaoshuai Sun, Rongrong Ji, Hongxun Yao, Pengfei Xu, Tianqiang Liu, Xianming Liu:
Place retrieval with graph-based place-view model. Multimedia Information Retrieval 2008: 268-275 - [c3]Rongrong Ji, Xiaoshuai Sun, Hongxun Yao, Pengfei Xu, Tianqiang Liu, Xianming Liu:
Attention-driven action retrieval with DTW-based 3d descriptor matching. ACM Multimedia 2008: 619-622 - [c2]Tianqiang Liu, Hongxun Yao, Rongrong Ji, Yan Liu, Xianming Liu, Xiaoshuai Sun, Pengfei Xu, Zhen Zhang:
Vision-Based Semi-supervised Homecare with Spatial Constraint. PCM 2008: 416-425 - [c1]Yong Ma, Yumin Tian, Wen Liang, Xianming Liu, Pingping Fu:
Static Web Protection Algorithm based on Chord Ring. SKG 2008: 491-492
Coauthor Index
[j93] [j88] [j86] [j79] [c129] [c128] [i85] [i81] [i75] [i72] [i69] [j75] [j69] [j68] [j67] [c116] [i66] [i61] [i55] [j55] [c115] [c113] [c108] [c107] [c102] [c101] [c98] [i54] [i50] [i46] [i45] [i43] [i42] [j47] [c97] [c96] [c95] [c92] [i39] [i38] [i35] [i34] [i32] [i28] [i27] [j43] [j41] [i25] [j37] [j35] [j34] [j32] [j25]
[j93] [j92] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [i87] [i86] [i85] [i84] [i83] [i82] [i81] [i79] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i68] [i67] [j76] [j75] [j73] [j72] [j71] [j69] [j68] [j67] [j66] [j65] [j64] [c124] [c123] [c122] [c121] [c118] [c117] [c116] [i66] [i65] [i64] [i63] [i62] [i61] [i59] [i58] [i57] [i56] [i55] [j62] [j61] [j58] [j57] [j55] [j54] [j52] [j51] [j50] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i42] [i41] [j47] [c97] [c95] [c94] [c93] [c92] [c91] [c90] [i40] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [j44] [c89] [c88] [c87] [c85] [i26] [i24] [i23] [i22] [i19] [j38] [j36] [c84] [c82] [c81] [c80] [i11]
[j93] [j77] [c129] [i75] [i72] [i69] [j69] [j68] [j67] [j65] [j64] [c117] [i62] [i61] [i55] [j51] [j50] [c107] [c102] [c101] [c100] [c99] [i54] [i46] [i45] [c95] [c91] [i34] [j43] [j41] [c89] [c88] [c87] [c85] [i26] [i24] [i22] [i19] [j37] [j35] [j32] [c81] [c80] [j29] [j25] [c75] [c73] [c72] [c71] [j22] [c67] [j16] [c53] [j5] [c50] [c46] [c45] [c41] [c39] [c36] [c35] [c28]
[j79] [j77] [j75] [i66] [j55] [c113] [c99] [j46] [j45] [i38] [i28] [j37] [j35] [j34] [j32] [c84] [i18] [j28] [j26] [j25] [c75] [c72] [j24] [j23] [j22] [c67] [c66] [c65] [j17] [j16] [c64] [c62] [c61] [i4] [j12] [c58] [c55] [c54] [c53] [c52] [j6] [j5] [c51] [c50] [c46] [c45] [c42] [c41] [c36] [c35] [c34] [j1] [c33] [c28] [c19] [c18] [c17] [c14] [c11] [c10] [c9] [c8]
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last updated on 2024-11-11 21:30 CET by the dblp team
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