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ORCID18th ECCV 2024: Milan, Italy - Part LXXVII
- 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 LXXVII. Lecture Notes in Computer Science 15135, Springer 2024, ISBN 978-3-031-72979-9 - Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang:
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. 1-22 - Nanye Ma, Mark Goldstein, Michael S. Albergo, Nicholas M. Boffi, Eric Vanden-Eijnden, Saining Xie:
SiT: Exploring Flow and Diffusion-Based Generative Models with Scalable Interpolant Transformers. 23-40 - Baicheng Li, Zike Yan, Dong Wu, Hanqing Jiang, Hongbin Zha:
Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM. 41-57 - Sudhir Yarram, Junsong Yuan:
Forecasting Future Videos from Novel Views via Disentangled 3D Scene Representation. 58-76 - Emanuele Santellani, Martin Zach, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer:
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring. 77-93 - Sizhuo Li, Dimitri Gominski, Martin Brandt, Xiaoye Tong, Philippe Ciais:
Get Your Embedding Space in Order: Domain-Adaptive Regression for Forest Monitoring. 94-111 - Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen:
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion. 112-129 - Ziyang Gong, Fuhao Li, Yupeng Deng, Deblina Bhattacharjee, Xianzheng Ma, Xiangwei Zhu, Zhenming Ji:
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning. 130-148 - Andrey Voynov, Amir Hertz, Moab Arar, Shlomi Fruchter, Daniel Cohen-Or:
Curved Diffusion: A Generative Model with Optical Geometry Control. 149-164 - Guangchi Fang, Bing Wang:
Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians. 165-181 - Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, Shenghua Gao:
MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. 182-199 - Kwanyoung Kim, Yujin Oh, Jong Chul Ye:
OTSeg: Multi-Prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation. 200-217 - Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Balint Kovacs, Constantin Ulrich, Tassilo Wald, Maximilian Zenk, Philipp Vollmuth, Jens Kleesiek, Fabian Isensee, Klaus H. Maier-Hein:
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures. 218-234 - Yi Zhang, Ke Yu, Siqi Wu, Zhihai He:
Conceptual Codebook Learning for Vision-Language Models. 235-251 - Ana-Maria Marcu, Long Chen, Jan Hünermann, Alice Karnsund, Benoît Hanotte, Prajwal Chidananda, Saurabh Nair, Vijay Badrinarayanan, Alex Kendall, Jamie Shotton, Elahe Arani, Oleg Sinavski:
LingoQA: Visual Question Answering for Autonomous Driving. 252-269 - Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias, Alexandros Lattas, Stylianos Moschoglou, Stylianos Ploumpis, Stefanos Zafeiriou:
AnimateMe: 4D Facial Expressions via Diffusion Models. 270-287 - Zhecan Wang, Garrett Bingham, Adams Wei Yu, Quoc V. Le, Thang Luong, Golnaz Ghiasi:
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning. 288-304 - Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. 305-322 - Tianyuan Yuan, Yucheng Mao, Jiawei Yang, Yicheng Liu, Yue Wang, Hang Zhao:
PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors. 323-339 - Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang:
Unveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention. 340-356 - Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. 357-374 - Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. 375-391 - Tongkai Shi, Lianyu Hu, Fanhua Shang, Jichao Feng, Peidong Liu, Wei Feng:
Pose-Guided Fine-Grained Sign Language Video Generation. 392-409 - Ali Zare, Yulei Niu, Hammad A. Ayyubi, Shih-Fu Chang:
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos. 410-426 - Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong:
Certifiably Robust Image Watermark. 427-443 - Sukrut Rao, Sweta Mahajan, Moritz Böhle, Bernt Schiele:
Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. 444-461 - Qi Qian, Juhua Hu:
Online Zero-Shot Classification with CLIP. 462-477
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