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ORCID17th ECCV 2024: Milan, Italy - Part LXXVIII
- 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 LXXVIII. Lecture Notes in Computer Science 15136, Springer 2025, ISBN 978-3-031-73228-7 - Qi Qian, Yuanhong Xu, Juhua Hu:
SeA: Semantic Adversarial Augmentation for Last Layer Features from Unsupervised Representation Learning. 1-17 - Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen:
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. 18-33 - Masoumeh Zareapoor, Pourya Shamsolmoali:
Rethinking Fast Adversarial Training: A Splitting Technique to Overcome Catastrophic Overfitting. 34-51 - Tim Rädsch, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Nicholas Heller, Fabian Isensee, Annette Kopp-Schneider, Lena Maier-Hein:
Quality Assured: Rethinking Annotation Strategies in Imaging AI. 52-69 - Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara:
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues. 70-87 - Jiajie Fan, Amal Trigui, Thomas Bäck, Hao Wang:
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder. 88-105 - Yufei Zhang, Jeffrey O. Kephart, Qiang Ji:
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance. 106-125 - Aditya Prakash, Matthew Chang, Matthew Jin, Ruisen Tu, Saurabh Gupta:
3D Reconstruction of Objects in Hands Without Real World 3D Supervision. 126-145 - Souhail Hadgi, Lei Li, Maks Ovsjanikov:
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning. 146-163 - Xueyi Liu, Kangbo Lyu, Jieqiong Zhang, Tao Du, Li Yi:
Parameterized Quasi-Physical Simulators for Dexterous Manipulations Transfer. 164-182 - Aditya Prakash, Ruisen Tu, Matthew Chang, Saurabh Gupta:
3D Hand Pose Estimation in Everyday Egocentric Images. 183-202 - Aditya Prakash, Arjun Gupta, Saurabh Gupta:
Mitigating Perspective Distortion-Induced Shape Ambiguity in Image Crops. 203-219 - Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao Yang, Sahil Shah, Sandeep Chinchali:
Towards Neuro-Symbolic Video Understanding. 220-236 - Hanjing Wang, Bashirul Azam Biswas, Qiang Ji:
Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations. 237-253 - Tatsuya Sasaki, Yoshiki Ito, Satoshi Kondo:
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast. 254-270 - Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen:
Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency. 271-289 - Noam Elata, Tomer Michaeli, Michael Elad:
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling. 290-308 - Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi, Ronald Clark:
Instant Uncertainty Calibration of NeRFs Using a Meta-calibrator. 309-324 - Sanbao Su, Xin Li, Thang Long Doan, Sima Behpour, Wenbin He, Liang Gou, Fei Miao, Liu Ren:
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks. 325-342 - Hyesong Choi, Hyejin Park, Kwang Moo Yi, Sungmin Cha, Dongbo Min:
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training. 343-359 - Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk:
Data Augmentation via Latent Diffusion for Saliency Prediction. 360-377 - Haiwen Feng, Zheng Ding, Zhihao Xia, Simon Niklaus, Victoria Fernández Abrevaya, Michael J. Black, Xuaner Zhang:
Explorative Inbetweening of Time and Space. 378-395 - Karim Kadry, Shreya Gupta, Jonas Sogbadji, Michiel Schaap, Kersten Petersen, Takuya Mizukami, Carlos Collet, Farhad Rikhtegar Nezami, Elazer R. Edelman:
A Diffusion Model for Simulation Ready Coronary Anatomy with Morpho-Skeletal Control. 396-412 - Shinjeong Kim, Marc Pollefeys, Daniel Barath:
Learning to Make Keypoints Sub-pixel Accurate. 413-431 - Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Sebastian Endt, Marion I. Menzel, Felix Krahmer, Holger Rauhut:
Imaging with Confidence: Uncertainty Quantification for High-Dimensional Undersampled MR Images. 432-450 - Youngjoong Kwon, Baole Fang, Yixing Lu, Haoye Dong, Cheng Zhang, Francisco Vicente Carrasco, Albert Mosella-Montoro, Jianjin Xu, Shingo Takagi, Daeil Kim, Aayush Prakash, Fernando De la Torre:
Generalizable Human Gaussians for Sparse View Synthesis. 451-468 - Xiaofan Li, Yifu Zhang, Xiaoqing Ye:
DrivingDiffusion: Layout-Guided Multi-view Driving Scenarios Video Generation with Latent Diffusion Model. 469-485
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