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ORCID18th ECCV Workshops 2024: Milan, Italy - Part X
- Alessio Del Bue, Cristian Canton, Jordi Pont-Tuset, Tatiana Tommasi:
Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15632, Springer 2025, ISBN 978-3-031-91855-1 - Zewen Chen, Sunhan Xu, Yun Zeng, Haochen Guo, Jian Guo, Shuai Liu, Juan Wang, Bing Li, Weiming Hu, Dehua Liu, Hesong Li:
MobileIQA: Exploiting Mobile-Level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation. 1-17 - Michal Nazarczuk, Sibi Catley-Chandar, Thomas Tanay, Richard Shaw, Eduardo Pérez-Pellitero, Radu Timofte, Xing Yan, Pan Wang, Yali Guo, Yongxin Wu, Youcheng Cai, Yanan Yang, Junting Li, Yanghong Zhou, P. Y. Mok, Zongqi He, Zhe Xiao, Kin-Chung Chan, Hana Lebeta Goshu, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Jiayao Hao, Qiong Gao, Yanyan Zu, Junpei Zhang, Licheng Jiao, Xu Liu, Kuldeep Purohit:
AIM 2024 Sparse Neural Rendering Challenge: Methods and Results. 18-35 - Michal Nazarczuk, Thomas Tanay, Sibi Catley-Chandar, Richard Shaw, Radu Timofte, Eduardo Pérez-Pellitero:
AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark. 36-56 - Hendrik Meininger, Radu Timofte:
Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-ensembling. 57-73 - Ziheng Jia, Jiaying Qian, Wei Sun, Zicheng Zhang, Yuqin Cao, Yinan Sun, Yuxin Zhu, Guangtao Zhai, Xiongkuo Min:
Compression-RQ-VQA: Leveraging Rich Quality-Aware Features for Compressed Video Quality Assessment. 74-91 - Yunchen Zhang, Xiangkai Xu, Hong Gao, Ji Shi, Yiming Bao, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu:
Learning from Strong to Weak An Enhanced Quality Comparison Network via Efficient Transfer Learning. 92-108 - Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai:
Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency. 109-126 - Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai:
AVSal: Enhancing Video Saliency Prediction Through Audio-Visual Fusion and Temporal Aggregation. 127-143 - Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai:
SR-VQA: Super-Resolution Video Quality Assessment Model. 144-159 - Ivan Molodetskikh, Artem Borisov, Dmitriy S. Vatolin, Radu Timofte, Jianzhao Liu, Tianwu Zhi, Yabin Zhang, Yang Li, Jingwen Xu, Yiting Liao, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Yuqin Cao, Wei Sun, Weixia Zhang, Yinan Sun, Ziheng Jia, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Weihua Luo, Yupeng Zhang, Hong Yi:
AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results. 160-177 - Andrey Moskalenko, Alexey Bryncev, Dmitry S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. 178-194 - Yan Xing, Pan Wang, Yali Guo, Yongxin Wu, Shuangguan Liu, Youcheng Cai, Ligang Liu:
Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement. 195-211 - Maksim Smirnov, Aleksandr Gushchin, Anastasia Antsiferova, Dmitriy S. Vatolin, Radu Timofte, Ziheng Jia, Zicheng Zhang, Wei Sun, Jiaying Qian, Yuqin Cao, Yinan Sun, Yuxin Zhu, Xiongkuo Min, Guangtao Zhai, Kanjar De, Qing Luo, Ao-Xiang Zhang, Peng Zhang, Haibo Lei, Linyan Jiang, Yaqing Li, Wenhui Meng, Xiaoheng Tan, Haiqiang Wang, Xiaozhong Xu, Shan Liu, Zhenzhong Chen, Zhengxue Cheng, Jiahao Xiao, Jun Xu, Chenlong He, Qi Zheng, Ruoxi Zhu, Min Li, Yibo Fan, Zhengzhong Tu:
AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results. 212-228 - Lars Fichtel, Dominik Erbacher, Dennis Grünwald, Leon Heller, Christian Bachmeir, Radu Timofte:
TASOD: A Data Collection for Tiny and Small Object Detection. 229-245 - Junting Li, Yanghong Zhou, Jintu Fan, Dahua Shou, Sa Xu, P. Y. Mok:
Effective Prior Regularized Sparse Learning. 246-260 - Vlad Hosu, Marcos V. Conde, Lorenzo Agnolucci, Nabajeet Barman, Saman Zadtootaghaj, Radu Timofte, Wei Sun, Weixia Zhang, Yuqin Cao, Linhan Cao, Jun Jia, Zijian Chen, Zicheng Zhang, Xiongkuo Min, Guangtao Zhai, Songbai Tan, Lixin Zhang, Guanghui Yue, Daekyu Kwon, Dongyoung Kim, Seon Joo Kim, Yunchen Zhang, Xiangkai Xu, Hong Gao, Yiming Bao, Ji Shi, Xiugang Dong, Xiangsheng Zhou, Yaofeng Tu, Zewen Chen, Shunhan Xu, Haochen Guo, Yun Zeng, Shuai Liu, Jian Guo, Juan Wang, Bing Li, Dehua Liu, Hesong Liu, Grigory Malivenko, Asile Gerek, Xingyuan Ma, Cheng Li, Joonhee Lee, Junseo Bang, Se Young Chun:
AIM 2024 Challenge on UHD Blind Photo Quality Assessment. 261-286 - Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte, Huan Zheng, Wencheng Han, Tianyi Yan, Jianbing Shen, Pihai Sun, Yuanqi Yao, Kui Jiang, Wenbo Zhao, Xianming Liu, Evgeny Burnaev, Junjun Jiang, Woojae Han, Kyeonghyun Lee, Seongmin Hong, Se Young Chun, Jinseong Kim, Dohyeong Kim, Jeahwan Kim, Yubo Wang, Chi Zhang, Huizhen Luo, Yansai Wu, Mengcheng Huang, Chengji Liu, Chongli Yve, Jianhang Sun, Cheng Guo, Yingcai Du, Huang Jianhao, Liu Shuai, Li Chenghua:
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. 287-303 - Marcos V. Conde, Zhijun Lei, Wen Li, Christos G. Bampis, Ioannis Katsavounidis, Radu Timofte, Qing Luo, Jie Song, Linyan Jiang, Haibo Lei, Yaqing Li, Ziqi Luo, Rongkang Dong, Cuixin Yang, Zongqi He, Jun Xiao, Zhe Xiao, Yushen Zuo, Zihang Lyu, Kin-Man Lam, Yuxuan Jiang, Jakub Nawala, Chen Feng, Fan Zhang, Xiaoqing Zhu, Joel Sole, David Bull, Jae-Hyeon Lee, Dong-Hyeop Son, Ui-Jin Choi, Mingjun Zheng, Zhongbao Yang, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang:
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content. 304-325 - Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania:
Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. 326-342 - Bikram Boote, Anh Thai, Wenqi Jia, Ozgur Kara, Stefan Stojanov, James M. Rehg, Sangmin Lee:
Leveraging Object Priors for Point Tracking. 343-360 - Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu:
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. 361-377 - Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, LingLing Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu:
LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation. 378-394
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