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ORCID18th ECCV 2024: Milan, Italy - Part LXXXIX
- 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 LXXXIX. Lecture Notes in Computer Science 15147, Springer 2025, ISBN 978-3-031-73023-8 - Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan, Linfeng Ye, Ahmed H. Salamah:
How to Train the Teacher Model for Effective Knowledge Distillation. 1-18 - Ekaterina Grishina, Mikhail Gorbunov, Maxim V. Rakhuba:
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers. 19-34 - Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. 35-50 - Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel Alejandro Guerrero Peña, David Latortue, Eric Granger, Marco Pedersoli:
Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge. 51-68 - Oscar Skean, Aayush Dhakal, Nathan Jacobs, Luis Gonzalo Sánchez Giraldo:
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-supervised Learning. 69-85 - Shiyu Yuan, Jiali Cui, Hanao Li, Tian Han:
Learning Multimodal Latent Generative Models with Energy-Based Prior. 86-100 - Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li:
On Learning Discriminative Features from Synthesized Data for Self-supervised Fine-Grained Visual Recognition. 101-117 - Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang:
LaWa: Using Latent Space for In-Generation Image Watermarking. 118-136 - Mridul Khurana, Arka Daw, M. Maruf, Josef C. Uyeda, Wasila M. Dahdul, Caleb Charpentier, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Wei-Lun Chao, Charles V. Stewart, Tanya Y. Berger-Wolf, Anuj Karpatne:
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution. 137-153 - En-Hui Yang, Linfeng Ye:
Markov Knowledge Distillation: Make Nasty Teachers Trained by Self-undermining Knowledge Distillation Fully Distillable. 154-171 - Aniruddha Mahapatra, Richa Mishra, Renda Li, Ziyi Chen, Boyang Ding, Shoulei Wang, Jun-Yan Zhu, Peng Chang, Mei Han, Jing Xiao:
Co-speech Gesture Video Generation with 3D Human Meshes. 172-189 - Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh:
Understanding the Impact of Negative Prompts: When and How Do They Take Effect? 190-206 - Yaniv Wolf, Amit Bracha, Ron Kimmel:
GS2Mesh: Surface Reconstruction from Gaussian Splatting via Novel Stereo Views. 207-224 - Jiezhi Yang, Khushi Desai, Charles Packer, Harshil Bhatia, Nicholas Rhinehart, Rowan McAllister, Joseph E. Gonzalez:
CARFF: Conditional Auto-Encoded Radiance Field for 3D Scene Forecasting. 225-242 - Hossein Jafarinia, Alireza Alipanah, Saeed Razavi, Nahal Mirzaie, Mohammad Hossein Rohban:
Snuffy: Efficient Whole Slide Image Classifier. 243-260 - Aaron Walsman, Muru Zhang, Adam Fishman, Ali Farhadi, Dieter Fox:
Learning to Build by Building Your Own Instructions. 261-278 - Wonho Bae, Jing Wang, Danica J. Sutherland:
Exploring Active Learning in Meta-learning: Enhancing Context Set Labeling. 279-296 - Ian Huang, Guandao Yang, Leonidas J. Guibas:
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models. 297-314 - Aditya Annavajjala, Alind Khare, Animesh Agrawal, Igor Fedorov, Hugo Latapie, Myungjin Lee, Alexey Tumanov:
DεpS: Delayed ε-Shrinking for Faster Once-for-All Training. 315-331 - Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava:
Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. 332-349
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