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18th ECCV 2024: Milan, Italy - Part LXV
- Ales Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol:
Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXV. Lecture Notes in Computer Science 15123, Springer 2025, ISBN 978-3-031-73649-0 - Dongyao Jiang, Hui Chen, Haodong Jing, Yongqiang Ma, Nanning Zheng:
MRSP: Learn Multi-representations of Single Primitive for Compositional Zero-Shot Learning. 1-17 - Jeongkee Lim, Yusung Kim:
Cross-Domain Semantic Segmentation on Inconsistent Taxonomy Using VLMs. 18-35 - Guoxing Zhang, Yiming Liu, Xiaoyu Yang, Hailong Huang, Chao Huang:
TrafficNight: An Aerial Multimodal Benchmark for Nighttime Vehicle Surveillance. 36-48 - Yushi Lan, Feitong Tan, Qiangeng Xu, Di Qiu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas A. Funkhouser, Chen Change Loy, Yinda Zhang:
LOC3DIFF: Local Diffusion for 3D Human Head Synthesis and Editing. 49-66 - Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill:
Towards Open Domain Text-Driven Synthesis of Multi-person Motions. 67-86 - Wenzhao Zheng, Ruiqi Song, Xianda Guo, Chenming Zhang, Long Chen:
GenAD: Generative End-to-End Autonomous Driving. 87-104 - Fengxiang Yang, Nan Pu, Wenjing Li, Zhiming Luo, Shaozi Li, Nicu Sebe, Zhun Zhong:
Learning to Distinguish Samples for Generalized Category Discovery. 105-122 - Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku:
COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark. 123-140 - Haiyang Guo, Fei Zhu, Wenzhuo Liu, Xu-Yao Zhang, Cheng-Lin Liu:
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning. 141-159 - Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang:
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem. 160-178 - Kunbei Cai, Zhenkai Zhang, Qian Lou, Fan Yao:
WBP: Training-Time Backdoor Attacks Through Hardware-Based Weight Bit Poisoning. 179-197 - Xiayu Wang, Ke Ma, Ruiyun Zhong, Xinggang Wang, Yi Fang, Yang Xiao, Tian Xia:
Towards Dual Transparent Liquid Level Estimation in Biomedical Lab: Dataset, Methods and Practices. 198-214 - Qi Li, Runpeng Yu, Xinchao Wang:
Encapsulating Knowledge in One Prompt. 215-232 - Changming Xu, Gagandeep Singh:
Cross-Input Certified Training for Universal Perturbations. 233-250 - Xiaoyu Xu, Jiayan Qiu, Baosheng Yu, Zhou Wang:
Visual Relationship Transformation. 251-272 - Yuxuan Li, Sarthak Kumar Maharana, Yunhui Guo:
Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-view Data. 273-289 - Huiru Shao, Zhuang Qian, Kaizhu Huang, Wei Wang, Xiaowei Huang, Qiufeng Wang:
Delving into Adversarial Robustness on Document Tampering Localization. 290-306 - Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun:
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing. 307-322 - Jialun Peng, Xin Luo, Jingjing Fu, Dong Liu:
Confidence-Based Iterative Generation for Real-World Image Super-Resolution. 323-341 - Tao Li, Weisen Jiang, Fanghui Liu, Xiaolin Huang, James T. Kwok:
Learning Scalable Model Soup on a Single GPU: An Efficient Subspace Training Strategy. 342-359 - Kohei Yamashita, Vincent Lepetit, Ko Nishino:
Correspondences of the Third Kind: Camera Pose Estimation from Object Reflection. 360-376 - Mark Hamilton, Simon Stent, Vasha DuTell, Anne Harrington, Jennifer Corbett, Ruth Rosenholtz, William T. Freeman:
Seeing Faces in Things: A Model and Dataset for Pareidolia. 377-395 - Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu:
Cocktail Universal Adversarial Attack on Deep Neural Networks. 396-412 - Antoine Guédon, Vincent Lepetit:
Gaussian Frosting: Editable Complex Radiance Fields with Real-Time Rendering. 413-430 - Cheng Han, Qifan Wang, Sohail A. Dianat, Majid Rabbani, Raghuveer M. Rao, Yi Fang, Qiang Guan, Lifu Huang, Dongfang Liu:
AMD: Automatic Multi-step Distillation of Large-Scale Vision Models. 431-450 - Bowei Tian, Ruijie Du, Yanning Shen:
FairViT: Fair Vision Transformer via Adaptive Masking. 451-466 - Weimin Lyu, Lu Pang, Tengfei Ma, Haibin Ling, Chao Chen:
TrojVLM: Backdoor Attack Against Vision Language Models. 467-483
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