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18th ECCV 2024: Milan, Italy - Part VII
- 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 VII. Lecture Notes in Computer Science 15065, Springer 2025, ISBN 978-3-031-72666-8 - Zhiyuan Ma, Yuxiang Wei, Yabin Zhang, Xiangyu Zhu, Zhen Lei, Lei Zhang:
ScaleDreamer: Scalable Text-to-3D Synthesis with Asynchronous Score Distillation. 1-19 - Haoqi Wang, Tong Zhang, Mathieu Salzmann:
SINDER: Repairing the Singular Defects of DINOv2. 20-35 - Yihan Wang, Lahav Lipson, Jia Deng:
SEA-RAFT: Simple, Efficient, Accurate RAFT for Optical Flow. 36-54 - Bochao Liu, Pengju Wang, Shiming Ge:
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation. 55-71 - Mu Chen, Liulei Li, Wenguan Wang, Ruijie Quan, Yi Yang:
General and Task-Oriented Video Segmentation. 72-92 - Hanjung Kim, Jaehyun Kang, Miran Heo, Sukjun Hwang, Seoung Wug Oh, Seon Joo Kim:
VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement. 93-109 - Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava:
LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. 110-128 - Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen:
ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. 129-147 - Xudong Wang, Ke-Yue Zhang, Taiping Yao, Qianyu Zhou, Shouhong Ding, Pingyang Dai, Rongrong Ji:
TF-FAS: Twofold-Element Fine-Grained Semantic Guidance for Generalizable Face Anti-spoofing. 148-168 - Bowen Tang, Kaihao Zhang, Wenhan Luo, Wei Liu, Hongdong Li:
Prompting Future Driven Diffusion Model for Hand Motion Prediction. 169-186 - Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen:
Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. 187-203 - Kun Zhou, Xinyu Lin, Wenbo Li, Xiaogang Xu, Yuanhao Cai, Zhonghang Liu, Xiaoguang Han, Jiangbo Lu:
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement. 204-221 - Li Li, Hubert P. H. Shum, Toby P. Breckon:
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. 222-241 - Weihao Xia, Raoul de Charette, A. Cengiz Öztireli, Jing-Hao Xue:
UMBRAE: Unified Multimodal Brain Decoding. 242-259 - Gengze Zhou, Yicong Hong, Zun Wang, Xin Eric Wang, Qi Wu:
NavGPT-2: Unleashing Navigational Reasoning Capability for Large Vision-Language Models. 260-278 - Qiao Wu, Kun Sun, Pei An, Mathieu Salzmann, Yanning Zhang, Jiaqi Yang:
3D Single-Object Tracking in Point Clouds with High Temporal Variation. 279-296 - Yan Ren, Yanling Li, Adams Wai-Kin Kong:
Adaptive Multi-task Learning for Few-Shot Object Detection. 297-314 - Ruofei Wang, Qing Guo, Haoliang Li, Renjie Wan:
Event Trojan: Asynchronous Event-Based Backdoor Attacks. 315-332 - Mengnan Liu, Le Wang, Sanping Zhou, Kun Xia, Qi Wu, Qilin Zhang, Gang Hua:
Stepwise Multi-grained Boundary Detector for Point-Supervised Temporal Action Localization. 333-349 - Ziyuan Luo, Boxin Shi, Haoliang Li, Renjie Wan:
Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems. 350-368 - Zhengyi Fang, Yue Wang, Ran Yi, Lizhuang Ma:
Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning. 369-386 - Qitai Wang, Jiawei He, Yuntao Chen, Zhaoxiang Zhang:
OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers. 387-404 - Ziling Huang, Shin'ichi Satoh:
LoA-Trans: Enhancing Visual Grounding by Location-Aware Transformers. 405-421 - Yihang Chen, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai:
HAC: Hash-Grid Assisted Context for 3D Gaussian Splatting Compression. 422-438 - Xiaoming Qi, Yuan Zhang, Tong Wang, Guanyu Yang, Yueming Jin, Shuo Li:
Energy-Induced Explicit Quantification for Multi-modality MRI Fusion. 439-455 - Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral, Joost van de Weijer:
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement. 456-472 - Alex Gomez-Villa, Dipam Goswami, Kai Wang, Andrew D. Bagdanov, Bartlomiej Twardowski, Joost van de Weijer:
Exemplar-Free Continual Representation Learning via Learnable Drift Compensation. 473-490
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