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ORCID18th ECCV 2024: Milan, Italy - Part XXVIII
- 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 XXVIII. Lecture Notes in Computer Science 15086, Springer 2025, ISBN 978-3-031-73389-5 - Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks. 1-19 - Benjamin Attal, Dor Verbin, Ben Mildenhall, Peter Hedman, Jonathan T. Barron, Matthew O'Toole, Pratul P. Srinivasan:
Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering. 20-36 - Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu:
Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds. 37-55 - Rui Qin, Ming Sun, Chao Zhou, Bin Wang:
A New Dataset and Framework for Real-World Blurred Images Super-Resolution. 56-75 - Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye:
AddressCLIP: Empowering Vision-Language Models for City-Wide Image Address Localization. 76-92 - Zhiyuan Zhang, Licheng Yang, Zhiyu Xiang:
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation. 93-109 - Wen Li, Muyuan Fang, Cheng Zou, Biao Gong, Ruobing Zheng, Meng Wang, Jingdong Chen, Ming Yang:
StyleTokenizer: Defining Image Style by a Single Instance for Controlling Diffusion Models. 110-126 - Chen-Chen Zong, Ye-Wen Wang, Kun-Peng Ning, Haibo Ye, Sheng-Jun Huang:
Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation. 127-143 - Zhaoxin Wang, Handing Wang, Cong Tian, Yaochu Jin:
Preventing Catastrophic Overfitting in Fast Adversarial Training: A Bi-level Optimization Perspective. 144-160 - Zeyang Zhao, Qilong Xue, Yuhang He, Yifan Bai, Xing Wei, Yihong Gong:
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation. 161-179 - Minhyun Lee, Song Park, Byeongho Heo, Dongyoon Han, Hyunjung Shim:
SeiT++: Masked Token Modeling Improves Storage-Efficient Training. 180-197 - Ke Zhu, Minghao Fu, Jie Shao, Tianyu Liu, Jianxin Wu:
Rectify the Regression Bias in Long-Tailed Object Detection. 198-214 - Fan Li, Zixiao Zhang, Yi Huang, Jianzhuang Liu, Renjing Pei, Bin Shao, Songcen Xu:
MagicEraser: Erasing Any Objects via Semantics-Aware Control. 215-231 - Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Xingyu Ji, Shenghai Yuan, Lihua Xie:
Reliable Spatial-Temporal Voxels For Multi-modal Test-Time Adaptation. 232-249 - Hanting Li, Hongjing Niu, Feng Zhao:
Stable Preference: Redefining Training Paradigm of Human Preference Model for Text-to-Image Synthesis. 250-266 - Jintu Zheng, Yi Ding, Qizhe Liu, Yuehui Chen, Yi Cao, Ying Hu, Zenan Wang:
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images. 267-283 - Zhongqun Zhang, Hengfei Wang, Ziwei Yu, Yihua Cheng, Angela Yao, Hyung Jin Chang:
NL2Contact: Natural Language Guided 3D Hand-Object Contact Modeling with Diffusion Model. 284-300 - Kaiwen Cai, Zhekai Duan, Gaowen Liu, Charles Fleming, Chris Xiaoxuan Lu:
Self-adapting Large Visual-Language Models to Edge Devices Across Visual Modalities. 301-318 - Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu:
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers. 319-337 - Hai Ci, Pei Yang, Yiren Song, Mike Zheng Shou:
RingID: Rethinking Tree-Ring Watermarking for Enhanced Multi-key Identification. 338-354 - Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu:
DSPDet3D: 3D Small Object Detection with Dynamic Spatial Pruning. 355-373 - Hao Cheng, Siyuan Yang, Chong Wang, Joey Tianyi Zhou, Alex C. Kot, Bihan Wen:
STSP: Spatial-Temporal Subspace Projection for Video Class-Incremental Learning. 374-391 - Xuelong Dai, Bin Xiao:
Transferable 3D Adversarial Shape Completion Using Diffusion Models. 392-408 - Guillaume Astruc, Nicolas Gonthier, Clément Mallet, Loïc Landrieu:
OmniSat: Self-supervised Modality Fusion for Earth Observation. 409-427 - Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models Into Conditional GANs. 428-447 - Anxhelo Diko, Danilo Avola, Bardh Prenkaj, Federico Fontana, Luigi Cinque:
Semantically Guided Representation Learning For Action Anticipation. 448-466 - Juwon Kang, Nayeong Kim, Jungseul Ok, Suha Kwak:
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory. 467-483
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