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2020 – today
- 2023
[j19]Kunpeng Li
, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu:
Image-Text Embedding Learning via Visual and Textual Semantic Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 641-656 (2023)- [j18]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3121-3138 (2023) - [j17]Xiaotong Luo, Yanyun Qu, Yuan Xie, Yulun Zhang, Cuihua Li, Yun Fu:
Lattice Network for Lightweight Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4826-4842 (2023) - [i63]Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR abs/2302.00903 (2023) - [i62]Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, Yulun Zhang, Nivedit Reddy Balam, Nathaniel Dennler, Sujay S. Garlanka, Nikitas Dimitri Klapsis, Stefanos Nikolaidis:
pyribs: A Bare-Bones Python Library for Quality Diversity Optimization. CoRR abs/2303.00191 (2023) - [i61]Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang:
Recursive Generalization Transformer for Image Super-Resolution. CoRR abs/2303.06373 (2023) - [i60]Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong, Xiaokang Yang:
Xformer: Hybrid X-Shaped Transformer for Image Denoising. CoRR abs/2303.06440 (2023) - [i59]Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang:
Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. CoRR abs/2303.06705 (2023) - [i58]Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool:
DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. CoRR abs/2303.06840 (2023) - [i57]Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool:
Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. CoRR abs/2303.08942 (2023) - [i56]Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool:
DiffIR: Efficient Diffusion Model for Image Restoration. CoRR abs/2303.09472 (2023) - [i55]Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao:
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. CoRR abs/2303.09650 (2023) - 2022
- [j16]Shipeng Fu, Zhibing Lai, Yulun Zhang, Yiguang Liu, Xiaomin Yang:
Relay knowledge distillation for efficiently boosting the performance of shallow networks. Neurocomputing 514: 512-525 (2022) - [j15]Xiaole Zhao, Yulun Zhang, Yun Qin, Qian Wang, Tao Zhang, Tianrui Li:
Single MR image super-resolution via channel splitting and serial fusion network. Knowl. Based Syst. 246: 108669 (2022) - [j14]Haoqian Wang, Xiaowan Hu, Xiaole Zhao, Yulun Zhang:
Wide Weighted Attention Multi-Scale Network for Accurate MR Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 32(3): 962-975 (2022) - [j13]Kai Li, Hongfu Liu, Yulun Zhang, Kunpeng Li, Yun Fu:
Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization. IEEE Trans. Cybern. 52(12): 12734-12744 (2022) - [j12]Qiang Wang, Gan Sun, Jiahua Dong, Yulun Zhang:
PFDN: Pyramid Feature Decoupling Network for Single Image Deraining. IEEE Trans. Image Process. 31: 7091-7101 (2022) - [j11]Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. IEEE Trans. Neural Networks Learn. Syst. 33(2): 826-838 (2022) - [c59]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CVPR Workshops 2022: 744-754 - [c58]Boaz Arad, Radu Timofte, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c57]Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister:
Texture-based Error Analysis for Image Super-Resolution. CVPR 2022: 2108-2117 - [c56]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CVPR 2022: 17481-17490 - [c55]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CVPR 2022: 17521-17530 - [c54]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. ECCV (19) 2022: 112-129 - [c53]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-Based Image Super-Resolution with Deformable Attention Transformer. ECCV (18) 2022: 325-342 - [c52]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. ECCV (18) 2022: 393-411 - [c51]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. ECCV (19) 2022: 583-598 - [c50]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. ECCV (17) 2022: 686-704 - [c49]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding. GECCO 2022: 158-167 - [c48]Hongbo Liu, Kai Li, Xiu Li, Yulun Zhang:
Unsupervised Anomaly Detection with Self-Training and Knowledge Distillation. ICIP 2022: 2102-2106 - [c47]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Learning Efficient Image Super-Resolution Networks via Structure-Regularized Pruning. ICLR 2022 - [c46]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. ICML 2022: 13334-13343 - [c45]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. ICML 2022: 13394-13404 - [c44]Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu:
MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning. IJCAI 2022: 3636-3642 - [c43]Huan Wang, Can Qin, Yue Bai, Yulun Zhang, Yun Fu:
Recent Advances on Neural Network Pruning at Initialization. IJCAI 2022: 5638-5645 - [c42]K. R. Zentner, Ujjwal Puri, Yulun Zhang, Ryan Julian, Gaurav S. Sukhatme:
Efficient Multi-Task Learning via Iterated Single-Task Transfer. IROS 2022: 10141-10146 - [c41]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. ACM Multimedia 2022: 1584-1592 - [c40]Xiaotong Luo, Mingliang Dai, Yulun Zhang, Yuan Xie, Ding Liu, Yanyun Qu, Yun Fu, Junping Zhang:
Adjustable Memory-efficient Image Super-resolution via Individual Kernel Sparsity. ACM Multimedia 2022: 2173-2181 - [i54]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Youliang Yan, Xueyi Zou, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Flow-Guided Sparse Transformer for Video Deblurring. CoRR abs/2201.01893 (2022) - [i53]Zudi Lin, Prateek Garg, Atmadeep Banerjee, Salma Abdel Magid, Deqing Sun, Yulun Zhang, Luc Van Gool, Donglai Wei, Hanspeter Pfister:
Revisiting RCAN: Improved Training for Image Super-Resolution. CoRR abs/2201.11279 (2022) - [i52]Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. CoRR abs/2203.02149 (2022) - [i51]Jing Lin, Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction. CoRR abs/2203.04845 (2022) - [i50]Bin Sun, Yulun Zhang, Songyao Jiang, Yun Fu:
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution. CoRR abs/2203.08921 (2022) - [i49]Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Radu Timofte, Luc Van Gool:
Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis. CoRR abs/2203.13278 (2022) - [i48]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. CoRR abs/2203.15314 (2022) - [i47]Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei:
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training. CoRR abs/2204.02844 (2022) - [i46]Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Radu Timofte, Luc Van Gool:
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction. CoRR abs/2204.07908 (2022) - [i45]Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Henghui Ding, Yulun Zhang, Radu Timofte, Luc Van Gool:
Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging. CoRR abs/2205.10102 (2022) - [i44]Jing Lin, Xiaowan Hu, Yuanhao Cai, Haoqian Wang, Youliang Yan, Xueyi Zou, Yulun Zhang, Luc Van Gool:
Unsupervised Flow-Aligned Sequence-to-Sequence Learning for Video Restoration. CoRR abs/2205.10195 (2022) - [i43]Bin Xia, Jingwen He, Yulun Zhang, Yucheng Hang, Wenming Yang, Luc Van Gool:
Residual Sparsity Connection Learning for Efficient Video Super-Resolution. CoRR abs/2206.07687 (2022) - [i42]Jiezhang Cao, Jingyun Liang, Kai Zhang, Wenguan Wang, Qin Wang, Yulun Zhang, Hao Tang, Luc Van Gool:
Towards Interpretable Video Super-Resolution via Alternating Optimization. CoRR abs/2207.10765 (2022) - [i41]Jiezhang Cao, Jingyun Liang, Kai Zhang, Yawei Li, Yulun Zhang, Wenguan Wang, Luc Van Gool:
Reference-based Image Super-Resolution with Deformable Attention Transformer. CoRR abs/2207.11938 (2022) - [i40]Bin Xia, Yapeng Tian, Yulun Zhang, Yucheng Hang, Wenming Yang, Qingmin Liao:
Meta-Learning based Degradation Representation for Blind Super-Resolution. CoRR abs/2207.13963 (2022) - [i39]Jiezhang Cao, Qin Wang, Jingyun Liang, Yulun Zhang, Kai Zhang, Luc Van Gool:
Practical Real Video Denoising with Realistic Degradation Model. CoRR abs/2208.11803 (2022) - [i38]Jiamian Wang, Kunpeng Li, Yulun Zhang, Xin Yuan, Zhiqiang Tao:
S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction. CoRR abs/2209.12075 (2022) - [i37]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Basic Binary Convolution Unit for Binarized Image Restoration Network. CoRR abs/2210.00405 (2022) - [i36]Jiale Zhang, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Accurate Image Restoration with Attention Retractable Transformer. CoRR abs/2210.01427 (2022) - [i35]Jinjin Gu, Haoming Cai, Chenyu Dong, Ruofan Zhang, Yulun Zhang, Wenming Yang, Chun Yuan:
Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Images. CoRR abs/2210.04198 (2022) - [i34]Chen Zheng, Yulun Zhang, Jinjin Gu, Yongbing Zhang, Linghe Kong, Xin Yuan:
Cross Aggregation Transformer for Image Restoration. CoRR abs/2211.13654 (2022) - [i33]Miaoyu Li, Ying Fu, Yulun Zhang:
Spatial-Spectral Transformer for Hyperspectral Image Denoising. CoRR abs/2211.14090 (2022) - [i32]Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Shuang Xu, Zudi Lin, Radu Timofte, Luc Van Gool:
CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion. CoRR abs/2211.14461 (2022) - [i31]Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool:
Knowledge Distillation based Degradation Estimation for Blind Super-Resolution. CoRR abs/2211.16928 (2022) - [i30]Jiezhang Cao, Qin Wang, Yongqin Xian, Yawei Li, Bingbing Ni, Zhiming Pi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool:
CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution. CoRR abs/2212.04362 (2022) - 2021
- [j10]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2480-2495 (2021) - [j9]Yulun Zhang, Ruby T. Nguyen, Bor Yann Liaw:
Status and Gap in Rechargeable Lithium Battery Supply Chain: Importance of Quantitative Failure Analysis. Proc. IEEE 109(6): 1029-1038 (2021) - [j8]Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, Yun Fu:
Accurate and Fast Image Denoising via Attention Guided Scaling. IEEE Trans. Image Process. 30: 6255-6265 (2021) - [j7]Gan Sun, Yang Cong, Yulun Zhang, Guoshuai Zhao, Yun Fu:
Continual Multiview Task Learning via Deep Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(1): 139-150 (2021) - [c39]Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu:
MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. CVPR 2021: 13425-13434 - [c38]Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang:
Pseudo 3D Auto-Correlation Network for Real Image Denoising. CVPR 2021: 16175-16184 - [c37]Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu:
Context Reasoning Attention Network for Image Super-Resolution. ICCV 2021: 4258-4267 - [c36]Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister:
Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. ICCV 2021: 4268-4277 - [c35]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. ICCV 2021: 8558-8567 - [c34]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. ICLR 2021 - [c33]Xiaowan Hu, Haoqian Wang, Yuanhao Cai, Xiaole Zhao, Yulun Zhang:
Pyramid Orthogonal Attention Network based on Dual Self-Similarity for Accurate Mr Image Super-Resolution. ICME 2021: 1-6 - [c32]Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric:
Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. ICMI 2021: 567-576 - [c31]Xiaowan Hu, Yuanhao Cai, Zhihong Liu, Haoqian Wang, Yulun Zhang:
Multi-Scale Selective Feedback Network with Dual Loss for Real Image Denoising. IJCAI 2021: 729-735 - [c30]Yulun Zhang, Huan Wang, Can Qin, Yun Fu:
Aligned Structured Sparsity Learning for Efficient Image Super-Resolution. NeurIPS 2021: 2695-2706 - [c29]Yuanhao Cai, Xiaowan Hu, Haoqian Wang, Yulun Zhang, Hanspeter Pfister, Donglai Wei:
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training. NeurIPS 2021: 3259-3270 - [c28]Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu:
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation. NeurIPS 2021: 14110-14121 - [c27]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. Robotics: Science and Systems 2021 - [i29]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. CoRR abs/2101.05278 (2021) - [i28]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Emerging Paradigms of Neural Network Pruning. CoRR abs/2103.06460 (2021) - [i27]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution. CoRR abs/2104.07473 (2021) - [i26]Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu:
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning. CoRR abs/2104.09136 (2021) - [i25]Matthew C. Fontaine, Ya-Chuan Hsu, Yulun Zhang, Bryon Tjanaka, Stefanos Nikolaidis:
On the Importance of Environments in Human-Robot Coordination. CoRR abs/2106.10853 (2021) - [i24]Yizhou Wang, Yue Kang, Can Qin, Yi Xu, Huan Wang, Yulun Zhang, Yun Fu:
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization. CoRR abs/2106.11514 (2021) - [i23]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
Towards Exploiting Geometry and Time for Fast Off-Distribution Adaptation in Multi-Task Robot Learning. CoRR abs/2106.13237 (2021) - [i22]Jiamian Wang, Yulun Zhang, Xin Yuan, Yun Fu, Zhiqiang Tao:
A New Backbone for Hyperspectral Image Reconstruction. CoRR abs/2108.07739 (2021) - [i21]Matthew Rueben, Mohammad Syed, Emily London, Mark Camarena, Eunsook Shin, Yulun Zhang, Timothy S. Wang, Thomas R. Groechel, Rhianna Lee, Maja J. Mataric:
Long-Term, in-the-Wild Study of Feedback about Speech Intelligibility for K-12 Students Attending Class via a Telepresence Robot. CoRR abs/2108.10456 (2021) - [i20]K. R. Zentner, Ryan Julian, Ujjwal Puri, Yulun Zhang, Gaurav S. Sukhatme:
A Simple Approach to Continual Learning by Transferring Skill Parameters. CoRR abs/2110.10255 (2021) - [i19]Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool:
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. CoRR abs/2111.07910 (2021) - [i18]Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, Stefanos Nikolaidis:
Deep Surrogate Assisted MAP-Elites for Automated Hearthstone Deckbuilding. CoRR abs/2112.03534 (2021) - [i17]Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network. CoRR abs/2112.15362 (2021) - 2020
- [j6]Qinqin Zhou, Bineng Zhong, Xiangyuan Lan, Gan Sun, Yulun Zhang, Baochang Zhang, Rongrong Ji:
Fine-Grained Spatial Alignment Model for Person Re-Identification With Focal Triplet Loss. IEEE Trans. Image Process. 29: 7578-7589 (2020) - [c26]Yu Yin, Joseph P. Robinson, Yulun Zhang, Yun Fu:
Joint Super-Resolution and Alignment of Tiny Faces. AAAI 2020: 12693-12700 - [c25]Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu:
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution. CVPR 2020: 3357-3366 - [c24]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. CVPR 2020: 3367-3376 - [c23]Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. CVPR 2020: 13467-13476 - [c22]Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria, Yun Fu:
Texture Hallucination for Large-Factor Painting Super-Resolution. ECCV (7) 2020: 209-225 - [c21]Xiaotong Luo, Yuan Xie, Yulun Zhang, Yanyun Qu, Cuihua Li, Yun Fu:
LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block. ECCV (22) 2020: 272-289 - [c20]Matthew Rueben, Thomas R. Groechel, Yulun Zhang, Maja J. Mataric, Gisele Ragusa:
Increasing Telepresence Robot Operator Awareness of Speaking Volume Appropriateness: Initial Model Development. HRI (Companion) 2020: 421-423 - [c19]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. NeurIPS 2020 - [i16]Xiaoyu Xiang, Yapeng Tian, Yulun Zhang, Yun Fu, Jan P. Allebach, Chenliang Xu:
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution. CoRR abs/2002.11616 (2020) - [i15]Kai Li, Yulun Zhang, Kunpeng Li, Yun Fu:
Adversarial Feature Hallucination Networks for Few-Shot Learning. CoRR abs/2003.13193 (2020) - [i14]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i13]Yuchen Fan, Jiahui Yu, Yiqun Mei, Yulun Zhang, Yun Fu, Ding Liu, Thomas S. Huang:
Neural Sparse Representation for Image Restoration. CoRR abs/2006.04357 (2020) - [i12]Huan Wang, Can Qin, Yulun Zhang, Yun Fu:
Neural Pruning via Growing Regularization. CoRR abs/2012.09243 (2020)
2010 – 2019
- 2019
- [j5]Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu:
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying. IEEE Trans. Image Process. 28(5): 2331-2341 (2019) - [j4]Xiaole Zhao, Yulun Zhang, Tao Zhang, Xueming Zou:
Channel Splitting Network for Single MR Image Super-Resolution. IEEE Trans. Image Process. 28(11): 5649-5662 (2019) - [j3]Qinqin Zhou, Bineng Zhong, Yulun Zhang, Jun Li, Yun Fu:
Deep Alignment Network Based Multi-Person Tracking With Occlusion and Motion Reasoning. IEEE Trans. Multim. 21(5): 1183-1194 (2019) - [j2]Yongbing Zhang, Yulun Zhang,