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ORCID18th ECCV 2024: Milan, Italy - Part XXXIV
- 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 XXXIV. Lecture Notes in Computer Science 15092, Springer 2025, ISBN 978-3-031-72753-5 - Xingyi Yang, Xinchao Wang:
Neural Metamorphosis. 1-19 - Wanqi Yin, Zhongang Cai, Ruisi Wang, Fanzhou Wang, Chen Wei, Haiyi Mei, Weiye Xiao, Zhitao Yang, Qingping Sun, Atsushi Yamashita, Ziwei Liu, Lei Yang:
WHAC: World-Grounded Humans and Cameras. 20-37 - Zonglin Di, Zhaowei Zhu, Xiaoxiao Li, Yang Liu:
Federated Learning with Local Openset Noisy Labels. 38-56 - Jiacheng Deng, Jiahao Lu, Tianzhu Zhang:
Diff3DETR: Agent-Based Diffusion Model for Semi-supervised 3D Object Detection. 57-73 - Zheng Zhang, Yeyao Ma, Enming Zhang, Xiang Bai:
PSALM: Pixelwise SegmentAtion with Large Multi-modal Model. 74-91 - Shoma Iwai, Atsuki Osanai, Shunsuke Kitada, Shinichiro Omachi:
Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model. 92-110 - Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang:
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images. 111-127 - Xuanchen Li, Yuhao Cheng, Xingyu Ren, Haozhe Jia, Di Xu, Wenhan Zhu, Yichao Yan:
Topo4D: Topology-Preserving Gaussian Splatting for High-fidelity 4D Head Capture. 128-145 - Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities. 146-165 - Seonmi Park, Inhwan Bae, Seunghyun Shin, Hae-Gon Jeon:
Kinetic Typography Diffusion Model. 166-185 - Shuchi Wu, Chuan Ma, Kang Wei, Xiaogang Xu, Ming Ding, Yuwen Qian, Di Xiao, Tao Xiang:
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-relational Extraction. 186-203 - Jongho Lee, Ryan J. Suess, Mohit Gupta:
Light-in-Flight for a World-in-Motion. 204-220 - Yuming Jiang, Nanxuan Zhao, Qing Liu, Krishna Kumar Singh, Shuai Yang, Chen Change Loy, Ziwei Liu:
GroupDiff: Diffusion-Based Group Portrait Editing. 221-239 - Lixiong Qin, Mei Wang, Xuannan Liu, Yuhang Zhang, Wei Deng, Xiaoshuai Song, Weiran Xu, Weihong Deng:
Faceptor: A Generalist Model for Face Perception. 240-260 - Lingzhuang Meng, Mingwen Shao, Yuanjian Qiao, Wenjie Liu:
Inter-Class Topology Alignment for Efficient Black-Box Substitute Attacks. 261-277 - Rui Huang, Songyou Peng, Ayça Takmaz, Federico Tombari, Marc Pollefeys, Shiji Song, Gao Huang, Francis Engelmann:
Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels. 278-295 - Zhenhua Xu, Kwan-Yee K. Wong, Hengshuang Zhao:
InsMapper: Exploring Inner-Instance Information for Vectorized HD Mapping. 296-312 - Xianwei Zhuang, Hongxiang Li, Xuxin Cheng, Zhihong Zhu, Yuxin Xie, Yuexian Zou:
KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval. 313-331 - Chuanrui Zhang, Yonggen Ling, Minglei Lu, Minghan Qin, Haoqian Wang:
Category-Level Object Detection, Pose Estimation and Reconstruction from Stereo Images. 332-349 - Taekyung Kim, Sanghyuk Chun, Byeongho Heo, Dongyoon Han:
Learning with Unmasked Tokens Drives Stronger Vision Learners. 350-367 - Peifu Liu, Tingfa Xu, Jie Wang, Huan Chen, Huiyan Bai, Jianan Li:
Dual-Stage Hyperspectral Image Classification Model with Spectral Supertoken. 368-386 - Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu:
Multi-task Domain Adaptation for Language Grounding with 3D Objects. 387-404 - Yuan Gao, Zilei Wang, Yixin Zhang, Bohai Tu:
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-Rich Superpixels. 405-421 - Zhigao Cao, Meng Li, Xiashuang Wang, Haoyu Wang, Fan Wang, Youjun Li, Zi-Gang Huang:
Efficient Training of Spiking Neural Networks with Multi-parallel Implicit Stream Architecture. 422-438 - Wenxuan Guo, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou:
Camera-LiDAR Cross-Modality Gait Recognition. 439-455 - Jianhai Fu, Yuanjie Yu, Ningchuan Li, Yi Zhang, Qichao Chen, Jianping Xiong, Jun Yin, Zhiyu Xiang:
Lite-SAM Is Actually What You Need for Segment Everything. 456-471 - GyeongRyeol Song, Noo-Ri Kim, Jin-Seop Lee, Jee-Hyong Lee:
IGNORE: Information Gap-Based False Negative Loss Rejection for Single Positive Multi-Label Learning. 472-488
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