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2020 – today
- 2023
[j71]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)- [j70]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) - [j69]Xingyu Hu, Junjun Jiang, Xianming Liu, Jiayi Ma:
ZMFF: Zero-shot multi-focus image fusion. Inf. Fusion 92: 127-138 (2023) - [j68]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) - [j67]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) - [j66]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) - [j65]Ziqian Liu, Wenbing Wang, Qing Ma, Xianming Liu, Junjun Jiang:
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution. Remote. Sens. 15(10): 2574 (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) - [c121]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 - [c120]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 - [c119]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Xianming Liu:
Spatial-Frequency Mutual Learning for Face Super-Resolution. CVPR 2023: 22356-22366 - [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 - [i64]Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Xiangyang Ji:
Guided Depth Map Super-resolution: A Survey. CoRR abs/2302.09598 (2023) - [i63]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) - [i62]Gang Wu, Junjun Jiang, Yuanchao Bai, Xianming Liu:
Incorporating Transformer Designs into Convolutions for Lightweight Image Super-Resolution. CoRR abs/2303.14324 (2023) - [i61]Pengwei Liang, Junjun Jiang, Xianming Liu, Jiayi Ma:
Image Deblurring by Exploring In-depth Properties of Transformer. CoRR abs/2303.15198 (2023) - [i60]Chenyang Wang, Junjun Jiang, Zhiwei Zhong, Deming Zhai, Xianming Liu:
Super-Resolving Face Image by Facial Parsing Information. CoRR abs/2304.02923 (2023) - [i59]Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji:
Backdoor Attacks Against Incremental Learners: An Empirical Evaluation Study. CoRR abs/2305.18384 (2023) - [i58]Yeganeh Gharedaghi, Gene Cheung, Xianming Liu:
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer. CoRR abs/2307.02625 (2023) - [i57]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) - [i56]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Fully 1×1 Convolutional Network for Lightweight Image Super-Resolution. CoRR abs/2307.16140 (2023) - [i55]Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration. CoRR abs/2309.06023 (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:
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