Publications

(* corresponding author)

Journal

  • Wenhan Yang, Robby T. Tan, Shiqi Wang, Alex C. Kot, and Jiaying Liu. "Learning to Remove Rain in Video with Self-Supervision", Accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [pdf]
  • Wenhan Yang, Robby T. Tan, Jiashi Feng, Shiqi Wang, Bin Cheng, and Jiaying Liu. "Recurrent Multi-Frame Deraining: Combining Physics Guidance and Adversarial Learning", Accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2021. [pdf]
  • Wenhan Yang, Robby T. Tan, Jiashi Feng, Zongming Guo, Shuicheng Yan, and Jiaying Liu. "Joint Rain Detection and Removal from a Single Image with Contextualized Deep Networks", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol.42, No.6, pp.1377-1393, June 2020. [pdf]
  • Wenhan Yang, Robby T. Tan, Shiqi Wang, Yuming Fang, and Jiaying Liu. "Single Image Deraining: From Model-Based to Data-Driven and Beyond", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43, no. 11, pp. 4059-4077, 1 Nov. 2021. [pdf]
  • Wenhan Yang, Wenjing Wang, Haofeng Huang, Shiqi Wang, and Jiaying Liu. "Sparse Gradient Regularized Deep Retinex Network for Robust Low-Light Image Enhancement", IEEE Trans. on Image Processing (TIP), Vol.30, pp.2072-2086, 2021. [pdf]
  • Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, and Jiaying Liu. "Band Representation-Based Semi-Supervised Low-Light Image Enhancement: Bridging the Gap Between Signal Fidelity and Perceptual Quality", IEEE Trans. on Image Processing (TIP), Vol.30, pp.3461-3473, 2021. [pdf]
  • Wenhan Yang, Shiqi Wang, and Jiaying Liu. "Removing Arbitrary-Scale Rain Streaks via Fractal Band Learning with Self-Supervision", IEEE Trans. on Image Processing (TIP), Vol.29, pp. 6759-6772, 2020. [pdf]
  • Wenhan Yang*, Ye Yuan*, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, et al. "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study", IEEE Trans. on Image Processing (TIP), Vol.29, pp.5737-5752, 2020. (*Contributed equally) [pdf]
  • Wenhan Yang, Jiaying Liu, Shuai Yang, and Zongming Guo. "Scale-Free Single Image Deraining via Visibility-Enhanced Recurrent Wavelet Learning", IEEE Trans. on Image Processing (TIP), Vol.28, No.6, pp.2948-2961, June 2019. [pdf]
  • Wenhan Yang, Jiashi Feng, Jianchao Yang, Fang Zhao, Jiaying Liu, Zongming Guo, and Shuicheng Yan. "Deep Edge Guided Recurrent Residual Learning for Image Super-Resolution", IEEE Trans. on Image Processing (TIP), Vol.26, No.12, pp.5895-5907, Dec. 2017. [pdf]
  • Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu. "Learning End-to-End Lossy Image Compression: A Benchmark", Accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), March 2021. [pdf]
  • Wenjing Wang, Xinhao Wang, Wenhan Yang, and Jiaying Liu. "Unsupervised Face Detection in the Dark", Accepted by IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Feb. 2022. [pdf]
  • Jiaying Liu, Wenhan Yang*, Shuai Yang, and Zongming Guo. "D3R-Net: Dynamic Routing Residue Recurrent Network for Video Rain Removal", IEEE Trans. on Image Processing (TIP), Vol.28, No.2, pp.699-712, Feb. 2019. [pdf]
  • Jiaying Liu, Sifeng Xia, Wenhan Yang*, Mading Li, and Dong Liu. "One-for-All: Grouped Variation Network Based Fractional Interpolation in Video Coding", IEEE Trans. on Image Processing (TIP), Vol.28, No.5, pp.2140-2151, May 2019. [pdf]
  • Jiaying Liu*, Dejia Xu, Wenhan Yang*, Minhao Fan, and Haofeng Huang. "Benchmarking Low-Light Image Enhancement and Beyond", International Journal of Computer Vision (IJCV), Vol. 129, pp. 1153–1184, April 2021. [pdf]
  • Rosaura G. VidalMata, Sreya Banerjee, Brandon RichardWebster, Michael Albright, Pedro Davalos, Scott McCloskey, Ben Miller, Asong Tambo, Sushobhan Ghosh, Sudarshan Nagesh, Ye Yuan, Yueyu Hu, Junru Wu, Wenhan Yang, Xiaoshuai Zhang, Jiaying Liu, et al. "Bridging the Gap Between Computational Photography and Visual Recognition", IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 43, no. 12, pp. 4272-4290, 1 Dec. 2021. [pdf]
  • Haofeng Huang, Wenhan Yang, Yueyu Hu, Jiaying Liu, and Ling-Yu Duan. "Towards Low Light Enhancement with RAW Images", IEEE Trans. on Image Processing (TIP), Vol.31, pp.1391-1405, 2022. [pdf]
  • Peilin Chen, Wenhan Yang, Meng Wang, Long Sun, Kangkang Hu, and Shiqi Wang. "Compressed Domain Deep Video Super-Resolution", IEEE Trans. on Image Processing (TIP), Vol. 30, pp. 7156-7169, 2021. [pdf]
  • Xutong Ren, Wenhan Yang, Wen-Huang Cheng, and Jiaying Liu. "LR3M: Robust Low-Light Enhancement via Low-Rank Regularized Retinex Model", IEEE Trans. on Image Processing (TIP), Vol.29, pp.5862-5876, 2020. [pdf]
  • Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong. "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network", IEEE Trans. on Image Processing (TIP), Vol.29, pp. 9140-9151, 2020. [pdf]
  • Baoliang Chen, Wenhan Yang, Haoliang Li, Shiqi Wang, and Sam Kwong. "Camera Invariant Feature Learning for Generalized Face Anti-spoofing", IEEE Trans. on Information Forensics and Security (TIFS), vol. 16, pp. 2477-2492, 2021 [pdf]
  • Wending Yan, Lu Xu, Wenhan Yang, Robby T Tan. "Feature-Aligned Video Raindrop Removal With Temporal Constraints", IEEE Trans. on Image Processing (TIP), Vol. 31, pp. 3440-3448, 2022. [pdf]
  • Dezhao Wang, Sifeng Xia, Wenhan Yang, Jiaying Liu. "Combining Progressive Rethinking and Collaborative Learning: A Deep Framework for In-Loop Filtering", IEEE Trans. on Image Processing (TIP), Vol.30, pp.4198-4211, 2021. [pdf]
  • Xuelin Shen, Zhangkai Ni, Wenhan Yang, Xinfeng Zhang, Shiqi Wang, Sam Kwong. "Just Noticeable Distortion Profile Inference: A Patch-Level Structural Visibility Learning Approach", IEEE Trans. on Image Processing (TIP), Vol.30, pp.26-38, 2021. [pdf]
  • Jiaying Liu, Dong Liu, Wenhan Yang, Sifeng Xia, Xiaoshuai Zhang, and Yueying Dai. "A Comprehensive Benchmark for Single Image Compression Artifact Reduction", IEEE Trans. on Image Processing (TIP), Vol.29, pp.7845-7860, 2020. [pdf]
  • Ling-yu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, and Wen Gao. "Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics", IEEE Trans. on Image Processing (TIP), Vol.29, pp.8680-8695, 2020. [pdf]
  • Yongqin Zhang, Jiaying Liu, Wenhan Yang and Zongming Guo. "Image Super-Resolution Based on Structure-Modulated Sparse Representation", IEEE Trans. on Image Processing (TIP), Vol.24, No.9, pp.2797-2810, May 2015. [pdf]
  • Shuai Yang, Jiaying Liu, Wenhan Yang, and Zongming Guo. "Context-Aware Text-Based Binary Image Stylization and Synthesis", IEEE Trans. on Image Processing (TIP), Vol.28, No.2, pp.952-964, Feb. 2019. [pdf]
  • Mading Li, Jiaying Liu, Wenhan Yang, Xiaoyan Sun, and Zongming Guo. "Structure-Revealing Low-Light Image Enhancement via Robust Retinex Model", IEEE Trans. on Image Processing (TIP), Vol.27, No.6, pp.2828-2941, June. 2018. [pdf]
  • Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, and Shuicheng Yan. "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", IEEE Trans. on Image Processing (TIP), Vol.27, No.2, pp.778-790, Feb. 2018. [pdf]

Conference

  • Wenhan Yang, Rizhao Cai, Alex Kot. "Image Inpainting Detection via Enriched Attentive Pattern with Near Original Image Augmentation", Accepted by ACM Multimedia (ACM MM), Lisbon, Portugal, October 2022. [pdf]
  • Wenhan Yang, Robby T. Tan, Shiqi Wang, Jiaying Liu. "Self-Learned Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 2020. [pdf]
  • Wenhan Yang, Shiqi Wang, Yuming Fang, Yue Wang, Jiaying Liu. "From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, June 2020. [pdf]
  • Wenhan Yang, Shiqi Wang, Dejia Xu, Xiaodong Wang, and Jiaying Liu. "Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning", Proc. of AAAI Conference on Artificial Intelligence (AAAI), New York, Feb. 2020. [pdf]
  • Wenhan Yang, Jiaying Liu, Jiashi Feng. "Frame-Consistent Recurrent Video Deraining with Dual-Level Flow", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, U.S., June 2019. [pdf]
  • Wenhan Yang, Robby T. Tan, Jiashi Feng, Jiaying Liu, Zongming Guo, and Shuicheng Yan. "Joint Rain Detection and Removal from a Single Image", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, Hawaii, U.S., Jul. 2017. [pdf]
  • Wenhan Yang*, Shihong Deng*, Yueyu Hu, Junliang Xing, and Jiaying Liu. "Real-Time Deep Video SpaTial Resolution UpConversion SysTem (STRUCT++ Demo)", Proc. of ACM Multimedia (ACM MM) Demo, Silicon Valley, California, U.S., Oct. 2017. (*Equal contribution) [pdf]
  • Yueyu Hu, Shuai Yang, Wenhan Yang, Ling-Yu Duan, and Jiaying Liu. "Towards Coding for Human and Machine Vision: A Scalable Image Coding Approach", Proc. of IEEE International Conference on Multimedia & Expo (ICME), London, UK, July 2020. (Best Paper Award) [pdf]
  • Mading Li, Jiaying Liu, Wenhan Yang, and Zongming Guo. "Joint Denoising and Enhancement for Low-Light Images via Retinex Model", Proc. of International Forum of Digital TV and Wireless Multimedia Communication (IFTC), Shanghai, China, Nov. 2017. (Best Paper Award) [pdf]
  • Shixing Yu, Yiyang Ma, Wei Xiang, Wenhan Yang, and Jiaying Liu. "Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning", Proc. of IEEE International Symposium on Circuits and Systems (ISCAS), Austin, Texas, May 2022. (MSA-TC Best Paper Award) [pdf]
  • Jiaying Liu, Wenhan Yang*, Shuai Yang, Zongming Guo. "Erase or Fill? Deep Joint Recurrent Rain Removal and Reconstruction in Videos", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, U.S., June 2018. [pdf]
  • Yeying Jin, Wenhan Yang, Robby T. Tan. "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", Accepted by European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, October 2022. [pdf]
  • Zhangkai Ni, Wenhan Yang, Hanli Wang, Shiqi Wang, Lin Ma, Sam Kwong. "Cycle-Interactive Generative Adversarial Network for Robust Unsupervised Low-Light Enhancement", Accepted by ACM Multimedia (ACM MM), Lisbon, Portugal, October 2022. [pdf]
  • Dezhao Wang, Wenhan Yang, Yueyu Hu, Jiaying Liu. "Neural Data-Dependent Transform for Learned Image Compression", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 2022. [pdf]
  • Yi Yu, Wenhan Yang, Yap-Peng Tan, Alex C Kot. "Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 2022. [pdf]
  • Wenjing Wang, Wenhan Yang, Jiaying Liu. "HLA-Face: Joint High-Low Adaptation for Low Light Face Detections", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, June 2021. [pdf]
  • Wending Yan, Wenhan Yang, Dengxin Dai, Robby T. Tan. "Self-Aligned Video Deraining with Transmission-Depth Consistency", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, Tennessee, June 2021. [pdf]
  • Yueyu Hu, Wenhan Yang, Jiaying Liu. "Coarse-to-Fine Hyper-Prior Modeling for Learned Image Compression", Proc. of AAAI Conference on Artificial Intelligence (AAAI), New York, Feb. 2020. [pdf]
  • Zhangkai Ni, Wenhan Yang, Shiqi Wang, Lin Ma, and Sam Kwong. "Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [pdf]
  • Peilin Chen, Wenhan Yang, Long Sun and Shiqi Wang. "When Bitstream Prior Meets Deep Prior: Compressed Video Super-resolution with Learning from Decoding", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [pdf]
  • Yufei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex Kot. "Low-Light Image Enhancement with Normalizing Flow", Proc. of AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [pdf]
  • Minhao Fan, Wenjing Wang, Wenhan Yang, and Jiaying Liu. "Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [pdf]
  • Lilang Lin, Sijie Song, Wenhan Yang, and Jiaying Liu. "MS^2L: Multi-task Self-Supervised Learning for Skeleton Based Action Recognition", Proc. of ACM Multimedia (ACM MM), Seattle, Washington, Oct. 2020. [pdf]
  • Rui Qian, Robby Tan, Wenhan Yang, Jiajun Su, and Jiaying Liu. "Attentive Generative Adversarial Network for Raindrop Removal from A Single Image", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, U.S., June 2018. [pdf]
  • Shuai Yang, Jiaying Liu, Wenhan Yang, and Zongming Guo. "Context-Aware Unsupervised Text Stylization", Proc. of ACM Multimedia (ACM MM), Seoul, Korea, Oct. 2018. [pdf]
  • Shiming Chen, Ziming Hong, Guo-Sen Xie, Wenhan Yang, Qinmu Peng, Kai Wang, Jian Zhao, Xinge You. "MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 2022. [pdf]
  • Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, Yuanjie Shao, Qinmu Peng, Xinge You. "Semantic Compression Embedding for Generative Zero-Shot Learning", Accepted by International Joint Conference on Artificial Intelligence (IJCAI), esse Wien, Vienna, Austria, July 2022. [pdf]
  • Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang. "URetinex-Net: Retinex-Based Deep Unfolding Network for Low-Light Image Enhancement", Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, Louisiana, June 2022. [pdf]
  • Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou. "Semantically Contrastive Learning for Low-Light Image Enhancement", Proc. of AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022. [pdf]

Updated June 2018