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17th ECCV Workshops 2022: Tel Aviv, Israel - Part II
- Leonid Karlinsky, Tomer Michaeli, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13802, Springer 2023, ISBN 978-3-031-25062-0
W05 - Learning With Limited and Imperfect Data
- Boyi Li, Yin Cui, Tsung-Yi Lin, Serge J. Belongie:
SITTA: Single Image Texture Translation for Data Augmentation. 3-20 - Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao:
Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling. 21-38 - Rabab Abdelfattah, Xin Zhang, Zhenyao Wu, Xinyi Wu, Xiaofeng Wang, Song Wang:
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-label Image Classification. 39-55 - Nir Zabari, Yedid Hoshen:
Open-Vocabulary Semantic Segmentation Using Test-Time Distillation. 56-72 - Jiageng Zhu, Hanchen Xie, Wael Abd-Almageed:
SW-VAE: Weakly Supervised Learn Disentangled Representation via Latent Factor Swapping. 73-87 - Sangyun Lee, Sewoong Ahn, Kwangjin Yoon:
Learning Multiple Probabilistic Degradation Generators for Unsupervised Real World Image Super Resolution. 88-100 - Niv Cohen, Ron Abutbul, Yedid Hoshen:
Out-of-Distribution Detection Without Class Labels. 101-117 - Andong Tan, Niklas Hanselmann, Shuxiao Ding, Federico Tombari, Marius Cordts:
Unsupervised Domain Adaptive Object Detection with Class Label Shift Weighted Local Features. 118-133 - Jongjin Park, Sukmin Yun, Jongheon Jeong, Jinwoo Shin:
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-Set Unlabeled Data. 134-149 - Abhay Rawat, Isha Dua, Saurav Gupta, Rahul Tallamraju:
Semi-supervised Domain Adaptation by Similarity Based Pseudo-Label Injection. 150-166
W06 - Advances in Image Manipulation
- Xindong Zhang, Hui Zeng, Lei Zhang:
Evaluating Image Super-Resolution Performance on Mobile Devices: An Online Benchmark. 169-186 - Edward Günther, Rui Gong, Luc Van Gool:
Style Adaptive Semantic Image Editing with Transformers. 187-203 - Yuval Alaluf, Or Patashnik, Zongze Wu, Asif Zamir, Eli Shechtman, Dani Lischinski, Daniel Cohen-Or:
Third Time's the Charm? Image and Video Editing with StyleGAN3. 204-220 - Qianhao Yu, Naishan Zheng, Jie Huang, Feng Zhao:
CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal. 221-238 - Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek:
Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN. 239-255 - Lin Zhou, Haoming Cai, Jinjin Gu, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Yu Qiao, Chao Dong:
Efficient Image Super-Resolution Using Vast-Receptive-Field Attention. 256-272 - Jiayun Wang, Sangryul Jeon, Stella X. Yu, Xi Zhang, Himanshu Arora, Yu Lou:
Unsupervised Scene Sketch to Photo Synthesis. 273-289 - Lintao Peng, Chunli Zhu, Liheng Bian:
U-shape Transformer for Underwater Image Enhancement. 290-307 - Snehal Singh Tomar, Maitreya Suin, A. N. Rajagopalan:
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation. 308-326 - Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng:
Towards Real-World Video Deblurring by Exploring Blur Formation Process. 327-343 - Ashutosh Kulkarni, Shruti S. Phutke, Subrahmanyam Murala:
Unified Transformer Network for Multi-Weather Image Restoration. 344-360 - Xiaoyu Lin, Baran Ozaydin, Vidit Vidit, Majed El Helou, Sabine Süsstrunk:
DSR: Towards Drone Image Super-Resolution. 361-377 - Steven Tel, Barthélémy Heyrman, Dominique Ginhac:
CEN-HDR: Computationally Efficient Neural Network for Real-Time High Dynamic Range Imaging. 378-394 - Darius Chira, Ilian Haralampiev, Ole Winther, Andrea Dittadi, Valentin Liévin:
Image Super-Resolution with Deep Variational Autoencoders. 395-411 - Yu Mo, Yingqian Wang, Longguang Wang, Jun-Gang Yang, Wei An:
Light Field Angular Super-Resolution via Dense Correspondence Field Reconstruction. 412-428 - Konstantinos Georgiadis, Albert Saà-Garriga, Mehmet Kerim Yucel, Anastasios Drosou, Bruno Manganelli:
Adaptive Mask-Based Pyramid Network for Realistic Bokeh Rendering. 429-444 - Xiaoyi Dong, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng:
RISPNet: A Network for Reversed Image Signal Processing. 445-457 - Xiaoran Qin, Yu Zhu, Chenghua Li, Peisong Wang, Jian Cheng:
CIDBNet: A Consecutively-Interactive Dual-Branch Network for JPEG Compressed Image Super-Resolution. 458-474 - Mustafa Ayazoglu, Bahri Batuhan Bilecen:
XCAT - Lightweight Quantized Single Image Super-Resolution Using Heterogeneous Group Convolutions and Cross Concatenation. 475-488 - Beiji Zou, Yue Zhang:
Learned Reverse ISP with Soft Supervision. 489-506 - Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang:
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. 507-523 - Kiyeon Kim, Seungyong Lee, Sunghyun Cho:
MSSNet: Multi-Scale-Stage Network for Single Image Deblurring. 524-539 - Si Gao, Chengjian Zheng, Xiaofeng Zhang, Shaoli Liu, Biao Wu, Kaidi Lu, Diankai Zhang, Ning Wang:
RCBSR: Re-parameterization Convolution Block for Super-Resolution. 540-548 - Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Junlin Li, Li Zhang:
Multi-patch Learning: Looking More Pixels in the Training Phase. 549-560 - Ziwei Luo, Youwei Li, Lei Yu, Qi Wu, Zhihong Wen, Haoqiang Fan, Shuaicheng Liu:
Fast Nearest Convolution for Real-Time Efficient Image Super-Resolution. 561-572 - Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He:
Real-Time Channel Mixing Net for Mobile Image Super-Resolution. 573-590 - Wenyi Lian, Wenjing Lian:
Sliding Window Recurrent Network for Efficient Video Super-Resolution. 591-601 - Shijie Yue, Chenghua Li, Zhengyang Zhuge, Ruixia Song:
EESRNet: A Network for Energy Efficient Super-Resolution. 602-618 - Brian Lee, Fei Lei, Huaijin G. Chen, Alexis Baudron:
Bokeh-Loss GAN: Multi-stage Adversarial Training for Realistic Edge-Aware Bokeh. 619-634 - Jiesi Zheng, Zhihao Fan, Xun Wu, Yaqi Wu, Feng Zhang:
Residual Feature Distillation Channel Spatial Attention Network for ISP on Smartphone. 635-650 - Bingchen Li, Xin Li, Yiting Lu, Sen Liu, Ruoyu Feng, Zhibo Chen:
HST: Hierarchical Swin Transformer for Compressed Image Super-Resolution. 651-668 - Marcos V. Conde, Ui-Jin Choi, Maxime Burchi, Radu Timofte:
Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. 669-687 - Furkan Kinli, Baris Özcan, Furkan Kiraç:
Reversing Image Signal Processors by Reverse Style Transferring. 688-698 - Jinha Kim, Jun Jiang, Jinwei Gu:
Overexposure Mask Fusion: Generalizable Reverse ISP Multi-step Refinement. 699-713 - Woon-Ha Yeo, Wang-Taek Oh, Kyung-Su Kang, Young-Il Kim, Han-Cheol Ryu:
CAIR: Fast and Lightweight Multi-scale Color Attention Network for Instagram Filter Removal. 714-728 - Andrey Ignatov, Anastasia Sycheva, Radu Timofte, Yu Tseng, Yu-Syuan Xu, Po-Hsiang Yu, Cheng-Ming Chiang, Hsien-Kai Kuo, Min-Hung Chen, Chia-Ming Cheng, Luc Van Gool:
MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. 729-746 - Marcos V. Conde, Florin-Alexandru Vasluianu, Sabari Nathan, Radu Timofte:
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. 747-762
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