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ORCID17th ECCV Workshops 2022: Tel Aviv, Israel - Part III
- Leonid Karlinsky, Tomer Michaeli
, Ko Nishino:
Computer Vision - ECCV 2022 Workshops - Tel Aviv, Israel, October 23-27, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13803, Springer 2023, ISBN 978-3-031-25065-1
W06 - Advances in Image Manipulation: Reports
- Marcos V. Conde, Radu Timofte, Yibin Huang, Jingyang Peng, Chang Chen, Cheng Li, Eduardo Pérez-Pellitero, Fenglong Song, Furui Bai, Shuai Liu, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yu Zhu, Chenghua Li, Yingying Jiang, Yong A, Peisong Wang, Cong Leng, Jian Cheng, Xiaoyu Liu, Zhicun Yin, Zhilu Zhang, Junyi Li, Ming Liu, Wangmeng Zuo, Jun Jiang, Jinha Kim, Yue Zhang, Beiji Zou, Zhikai Zong, Xiaoxiao Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Furkan Kinli, Baris Özcan, Furkan Kiraç, Li Leyi, S. M. Nadim Uddin, Dipon Kumar Ghosh, Yong Ju Jung:
Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. 3-26 - Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Radu Timofte, Yi Zuo, Zitao Wang, Xiaowen Zhang, Yu Zhu, Chenghua Li, Cong Leng, Jian Cheng, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Tianzhi Ma, Zi-han Gao, Wenxin He, Woon-Ha Yeo, Wang-Taek Oh, Young-Il Kim, Han-Cheol Ryu, Gang He, Shaoyi Long, S. M. A. Sharif, Rizwan Ali Naqvi, Sungjun Kim, Guisik Kim, Seohyeon Lee, Sabari Nathan, Priya Kansal:
AIM 2022 Challenge on Instagram Filter Removal: Methods and Results. 27-43 - Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai:
Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. 44-70 - 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. 71-91 - Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He:
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. 92-129 - Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. 130-152 - Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei:
Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. 153-173 - Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng:
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. 174-202
W07 - Medical Computer Vision
- Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, Manning Wang:
Swin-Unet: Unet-Like Pure Transformer for Medical Image Segmentation. 205-218 - Assaf Hoogi, Brian Wilcox, Yachee Gupta, Daniel L. Rubin:
Self-attention Capsule Network for Tissue Classification in Case of Challenging Medical Image Statistics. 219-235 - Evan Wen, ReBecca Sorenson, Max Ehrlich:
ReLaX: Retinal Layer Attribution for Guided Explanations of Automated Optical Coherence Tomography Classification. 236-251 - Noa Barzilay, Ilya Nelkenbaum, Eli Konen, Nahum Kiryati, Arnaldo Mayer:
Neural Registration and Segmentation of White Matter Tracts in Multi-modal Brain MRI. 252-267 - Gali Hod, Michael Green, Mark Waserman, Eli Konen, Shai Shrot, Ilya Nelkenbaum, Nahum Kiryati, Arnaldo Mayer:
Complementary Phase Encoding for Pair-Wise Neural Deblurring of Accelerated Brain MRI. 268-280 - Mobarakol Islam, Ben Glocker:
Frequency Dropout: Feature-Level Regularization via Randomized Filtering. 281-295 - Jonathan Fhima, Jan Van Eijgen, Ingeborg Stalmans, Yevgeniy Men, Moti Freiman, Joachim A. Behar:
PVBM: A Python Vasculature Biomarker Toolbox Based on Retinal Blood Vessel Segmentation. 296-312 - Alona Golts, Ido Livneh, Yaniv Zohar, Aaron Ciechanover, Michael Elad:
Simultaneous Detection and Classification of Partially and Weakly Supervised Cells. 313-329 - Ujjwal Upadhyay, Mukul Ranjan, Satish Golla, Swetha Tanamala, Preetham Sreenivas, Sasank Chilamkurthy, Jeyaraj Pandian, Jason Tarpley:
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement. 330-339 - Yufei Wen, Chongxin Liang, Jingyin Lin, Huisi Wu, Jing Qin:
ExSwin-Unet: An Unbalanced Weighted Unet with Shifted Window and External Attentions for Fetal Brain MRI Image Segmentation. 340-354 - Bella Specktor-Fadida, Bossmat Yehuda, Daphna Link-Sourani, Liat Ben-Sira, Dafna Ben-Bashat, Leo Joskowicz:
Contour Dice Loss for Structures with Fuzzy and Complex Boundaries in Fetal MRI. 355-368 - Mu Tian, Qinzhu Yang, Yi Gao:
Multi-scale Multi-task Distillation for Incremental 3D Medical Image Segmentation. 369-384 - Pranav Singh, Jacopo Cirrone:
A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images. 385-405 - Adam Goldbraikh, Netanell Avisdris, Carla M. Pugh, Shlomi Laufer:
Bounded Future MS-TCN++ for Surgical Gesture Recognition. 406-421 - Zeyu Fu, Jianbo Jiao, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Anatomy-Aware Contrastive Representation Learning for Fetal Ultrasound. 422-436 - Aniket Pramanik, Mathews Jacob:
Joint Calibrationless Reconstruction and Segmentation of Parallel MRI. 437-453 - Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman:
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. 454-465 - David Sabban, Ilan Shimshoni:
Segmenting Glandular Biopsy Images Using the Separate Merged Objects Algorithm. 466-481 - Yael Zaffrani-Reznikov, Onur Afacan, Sila Kurugol, Simon K. Warfield, Moti Freiman:
qDWI-Morph: Motion-Compensated Quantitative Diffusion-Weighted MRI Analysis for Fetal Lung Maturity Assessment. 482-494 - Liran Katzir, Danny Veikherman, Valentin Dashinsky, Roman Goldenberg, Ilan Shimshoni, Nadav Rabani, Regev Cohen, Ori Kelner, Ehud Rivlin, Daniel Freedman:
Estimating Withdrawal Time in Colonoscopies. 495-512 - Bassel Hamoud, Yuval Bahat, Tomer Michaeli:
Beyond Local Processing: Adapting CNNs for CT Reconstruction. 513-526 - Hajar Emami, Ming Dong, Carri Glide-Hurst:
CL-GAN: Contrastive Learning-Based Generative Adversarial Network for Modality Transfer with Limited Paired Data. 527-542 - Trinh Thi Le Vuong, Quoc Dang Vu, Mostafa Jahanifar, Simon Graham, Jin Tae Kwak, Nasir M. Rajpoot:
IMPaSh: A Novel Domain-Shift Resistant Representation for Colorectal Cancer Tissue Classification. 543-555 - Tobias Czempiel, Aidean Sharghi, Magdalini Paschali, Nassir Navab, Omid Mohareri:
Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study. 556-568 - Bálint Magyar, Márton Tokodi, András Soós, Máté Tolvaj, Bálint Károly Lakatos, Alexandra Fábián, Elena Surkova, Béla Merkely, Attila Kovács, András Horváth:
RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function. 569-583
W08 - Computer Vision for Metaverse
- Xiaoming Zhao, Zhizhen Zhao, Alexander G. Schwing:
Initialization and Alignment for Adversarial Texture Optimization. 587-604 - Partha Das, Sezer Karaoglu, Arjan Gijsenij, Theo Gevers:
SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes. 605-620 - Yuxin Hou, Tianwei Shen, Tsun-Yi Yang, Daniel DeTone, Hyo Jin Kim, Chris Sweeney, Richard A. Newcombe:
Implicit Map Augmentation for Relocalization. 621-638 - Chirag Raman, Hayley Hung, Marco Loog:
Social Processes: Self-supervised Meta-learning Over Conversational Groups for Forecasting Nonverbal Social Cues. 639-659 - Stanislaw Szymanowicz, Virginia Estellers, Tadas Baltrusaitis, Matthew Johnson:
Photo-Realistic 360$^{\circ }$ Head Avatars in the Wild. 660-667 - Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. 668-685 - Chaojian Li, Bichen Wu, Albert Pumarola, Peizhao Zhang, Yingyan Lin, Peter Vajda:
INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors. 686-694 - Yangheng Zhao, Jun Wang, Xiaolong Li, Yue Hu, Ce Zhang, Yanfeng Wang, Siheng Chen:
Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation. 695-703 - Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz:
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. 704-713 - Piera Riccio, Nuria Oliver:
Racial Bias in the Beautyverse: Evaluation of Augmented-Reality Beauty Filters. 714-721 - Xinhan Di, Pengqian Yu:
LWA-HAND: Lightweight Attention Hand for Interacting Hand Reconstruction. 722-738 - Shubhendu Jena, Franck Multon, Adnane Boukhayma:
Neural Mesh-Based Graphics. 739-757 - Abel Pacheco-Ortega, Walterio W. Mayol-Cuevas:
One-Shot Learning for Human Affordance Detection. 758-766
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