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ORCID17th ECCV 2022: Tel Aviv, Israel - Volume 19
- Shai Avidan, Gabriel J. Brostow
, Moustapha Cissé, Giovanni Maria Farinella, Tal Hassner:
Computer Vision - ECCV 2022 - 17th European Conference, Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part XIX. Lecture Notes in Computer Science 13679, Springer 2022, ISBN 978-3-031-19799-4 - Xiaoyu Dong, Naoto Yokoya, Longguang Wang, Tatsumi Uezato:
Learning Mutual Modulation for Self-supervised Cross-Modal Super-Resolution. 1-18 - Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang:
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration. 19-37 - Yili Wang, Xin Li, Kun Xu, Dongliang He, Qi Zhang, Fu Li, Errui Ding:
Neural Color Operators for Sequential Image Retouching. 38-55 - Ka Leong Cheng, Yueqi Xie, Qifeng Chen:
Optimizing Image Compression via Joint Learning with Denoising. 56-73 - Xiaotao Hu, Jun Xu, Shuhang Gu, Ming-Ming Cheng, Li Liu:
Restore Globally, Refine Locally: A Mask-Guided Scheme to Accelerate Super-Resolution Networks. 74-91 - Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang:
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. 92-111 - Jiamian Wang, Yulun Zhang, Xin Yuan, Ziyi Meng, Zhiqiang Tao:
Modeling Mask Uncertainty in Hyperspectral Image Reconstruction. 112-129 - Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen:
Perceiving and Modeling Density for Image Dehazing. 130-145 - Fu-Jen Tsai, Yan-Tsung Peng, Yen-Yu Lin, Chung-Chi Tsai, Chia-Wen Lin:
Stripformer: Strip Transformer for Fast Image Deblurring. 146-162 - Jie Huang, Yajing Liu, Feng Zhao, Keyu Yan, Jinghao Zhang, Yukun Huang, Man Zhou, Zhiwei Xiong:
Deep Fourier-Based Exposure Correction Network with Spatial-Frequency Interaction. 163-180 - Hu Yu, Naishan Zheng, Man Zhou, Jie Huang, Zeyu Xiao, Feng Zhao:
Frequency and Spatial Dual Guidance for Image Dehazing. 181-198 - Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong:
Towards Real-World HDRTV Reconstruction: A Data Synthesis-Based Approach. 199-216 - Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien, Ming-Hsuan Yang:
Learning Discriminative Shrinkage Deep Networks for Image Deconvolution. 217-234 - Jiahong Fu, Hong Wang, Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu:
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution. 235-253 - Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji:
ARM: Any-Time Super-Resolution Method. 254-270 - Haina Qin, Longfei Han, Juan Wang, Congxuan Zhang, Yanwei Li, Bing Li, Weiming Hu:
Attention-Aware Learning for Hyperparameter Prediction in Image Processing Pipelines. 271-287 - Yunhui Han, Kunming Luo, Ao Luo, Jiangyu Liu, Haoqiang Fan, Guiming Luo, Shuaicheng Liu:
RealFlow: EM-Based Realistic Optical Flow Dataset Generation from Videos. 288-305 - Keyu Yan, Man Zhou, Li Zhang, Chengjun Xie:
Memory-Augmented Model-Driven Network for Pansharpening. 306-322 - Yuxuan Zhang, Bo Dong, Felix Heide:
All You Need Is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines. 323-343 - Zhen Liu, Yinglong Wang, Bing Zeng, Shuaicheng Liu:
Ghost-free High Dynamic Range Imaging with Context-Aware Transformer. 344-360 - Jin Wan, Hui Yin, Zhenyao Wu, Xinyi Wu, Yanting Liu, Song Wang:
Style-Guided Shadow Removal. 361-378 - Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu:
D2C-SR: A Divergence to Convergence Approach for Real-World Image Super-Resolution. 379-394 - Jaeseok Byun, Taebaek Hwang, Jianlong Fu, Taesup Moon:
GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training. 395-412 - Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita:
Efficient Video Deblurring Guided by Motion Magnitude. 413-429 - Zhiyuan Mao, Ajay Jaiswal, Zhangyang Wang, Stanley H. Chan:
Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and a New Physics-Inspired Transformer Model. 430-446 - Ahmet Burakhan Koyuncu, Han Gao, Atanas Boev, Georgii Gaikov, Elena Alshina, Eckehard G. Steinbach:
Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression. 447-463 - Shunta Maeda:
Image Super-Resolution with Deep Dictionary. 464-480 - Mingyang Song, Yang Zhang, Tunç Ozan Aydin:
TempFormer: Temporally Consistent Transformer for Video Denoising. 481-496 - Wooseok Jeong, Seung-Won Jung:
RAWtoBit: A Fully End-to-end Camera ISP Network. 497-513 - Fei Li, Lingfeng Shen, Yang Mi, Zhenbo Li:
DRCNet: Dynamic Image Restoration Contrastive Network. 514-532 - Byeong-Ju Han, Jae-Young Sim:
Zero-Shot Learning for Reflection Removal of Single 360-Degree Image. 533-548 - Yidi Shao, Chen Change Loy, Bo Dai:
Transformer with Implicit Edges for Particle-Based Physics Simulation. 549-564 - Shuai Wang, Lei Zhu, Huazhu Fu, Jing Qin, Carola-Bibiane Schönlieb, Wei Feng, Song Wang:
Rethinking Video Rain Streak Removal: A New Synthesis Model and a Deraining Network with Video Rain Prior. 565-582 - 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. 583-598 - Zhihang Zhong, Xiao Sun, Zhirong Wu, Yinqiang Zheng, Stephen Lin, Imari Sato:
Animation from Blur: Multi-modal Blur Decomposition with Motion Guidance. 599-615 - Yibo Shi, Yunying Ge, Jing Wang, Jue Mao:
AlphaVC: High-Performance and Efficient Learned Video Compression. 616-631 - Meng Li, Shangyin Gao, Yihui Feng, Yibo Shi, Jing Wang:
Content-Oriented Learned Image Compression. 632-647 - Lin Zhang, Xin Li, Dongliang He, Fu Li, Yili Wang, Zhaoxiang Zhang:
RRSR: Reciprocal Reference-Based Image Super-Resolution with Progressive Feature Alignment and Selection. 648-664 - Haoqing Wang, Zhi-Hong Deng:
Contrastive Prototypical Network with Wasserstein Confidence Penalty. 665-682 - Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition. 683-700 - Qi Fan, Wenjie Pei, Yu-Wing Tai, Chi-Keung Tang:
Self-support Few-Shot Semantic Segmentation. 701-719 - Qi Fan, Chi-Keung Tang, Yu-Wing Tai:
Few-Shot Object Detection with Model Calibration. 720-739 - Yuning Lu, Liangjian Wen, Jianzhuang Liu, Yajing Liu, Xinmei Tian:
Self-Supervision Can Be a Good Few-Shot Learner. 740-758
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