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ORCID18th ECCV 2024: Milan, Italy - Part LXXXIV
- 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 LXXXIV. Lecture Notes in Computer Science 15142, Springer 2025, ISBN 978-3-031-72906-5 - Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu:
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. 1-19 - Yu Cao, Shaogang Gong:
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion. 20-37 - Tran Huynh, Anh Tran, Khoa D. Doan, Tung Pham:
Data Poisoning Quantization Backdoor Attack. 38-54 - Qi Wang, Zhou Xu, Yuming Lin, Jingtao Ye, Hongsheng Li, Guangming Zhu, Syed Afaq Ali Shah, Mohammed Bennamoun, Liang Zhang:
DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition. 55-72 - Junwei Su, Chuan Wu:
On the Topology Awareness and Generalization Performance of Graph Neural Networks. 73-89 - Fan Duan, Jiahao Yu, Li Chen:
T-CorresNet: Template Guided 3D Point Cloud Completion with Correspondence Pooling Query Generation Strategy. 90-106 - Quan Dao, Binh Ta, Tung Pham, Anh Tran:
A High-Quality Robust Diffusion Framework for Corrupted Dataset. 107-123 - Amandeep Kumar, Muhammad Awais, Sanath Narayan, Hisham Cholakkal, Salman Khan, Rao Muhammad Anwer:
Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning. 124-141 - Gang Li, Wenhai Wang, Xiang Li, Ziheng Li, Jian Yang, Jifeng Dai, Yu Qiao, Shanshan Zhang:
Distilling Knowledge from Large-Scale Image Models for Object Detection. 142-160 - Hu Cao, Zehua Zhang, Yan Xia, Xinyi Li, Jiahao Xia, Guang Chen, Alois Knoll:
Embracing Events and Frames with Hierarchical Feature Refinement Network for Object Detection. 161-177 - Yongrui Ma, Shi Guo, Yutian Chen, Tianfan Xue, Jinwei Gu:
TimeLens-XL: Real-Time Event-Based Video Frame Interpolation with Large Motion. 178-194 - Tim Salzmann, Markus Ryll, Alex Bewley, Matthias Minderer:
Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection. 195-213 - Jonathan Sauder, Devis Tuia:
Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM. 214-232 - Qin Lei, Jiang Zhong, Qizhu Dai:
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets. 233-250 - Rong Zou, Marc Pollefeys, Denys Rozumnyi:
Retrieval Robust to Object Motion Blur. 251-268 - Daniel Shalam, Simon Korman:
Unsupervised Representation Learning by Balanced Self Attention Matching. 269-285 - Peidong Li, Wancheng Shen, Qihao Huang, Dixiao Cui:
DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences. 286-302 - Wenhua Wu, Kun Hu, Wenxi Yue, Wei Li, Milena Simic, Changyang Li, Wei Xiang, Zhiyong Wang:
Identity-Consistent Diffusion Network for Grading Knee Osteoarthritis Progression in Radiographic Imaging. 303-319 - Mykhaylo Andriluka, Baruch Tabanpour, C. Daniel Freeman, Cristian Sminchisescu:
Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction. 320-336 - Ilhoon Yoon, Hyeongjun Kwon, Jin Kim, Junyoung Park, Hyunsung Jang, Kwanghoon Sohn:
Enhancing Source-Free Domain Adaptive Object Detection with Low-Confidence Pseudo Label Distillation. 337-353 - Shentong Mo, Enze Xie, Yue Wu, Junsong Chen, Matthias Nießner, Zhenguo Li:
Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation. 354-370 - Shoumeng Qiu, Jie Chen, Xinrun Li, Ru Wan, Xiangyang Xue, Jian Pu:
Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation. 371-388 - Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen Sun, Yueqi Duan:
Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation. 389-406 - Jianhao Li, Tianyu Sun, Zhongdao Wang, Enze Xie, Bailan Feng, Hongbo Zhang, Ze Yuan, Ke Xu, Jiaheng Liu, Ping Luo:
Segment, Lift and Fit: Automatic 3D Shape Labeling from 2D Prompts. 407-423 - Vojtech Franc, Jakub Paplhám, Daniel Prusa:
SCOD: From Heuristics to Theory. 424-441 - Gaurav Bhatt, James Ross, Leonid Sigal:
Preventing Catastrophic Forgetting Through Memory Networks in Continuous Detection. 442-458 - Marco Mistretta, Alberto Baldrati, Marco Bertini, Andrew D. Bagdanov:
Improving Zero-Shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation. 459-477
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