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Poster
Sat 15:00 Online Task-Free Continual Learning via Dynamic Expansionable Memory Distribution
Fei Ye · Adrian Bors
Poster
Sat 8:30 Seeing is Not Believing: Adversarial Natural Object Optimization for Hard-Label 3D Scene Attacks
Daizong Liu · Wei Hu
Poster
Sat 8:30 Once-Tuning-Multiple-Variants: Tuning Once and Expanded as Multiple Vision-Language Model Variants
Chong Yu · Tao Chen · Zhongxue Gan
Poster
Fri 14:00 Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Chen-Chen Zong · Sheng-Jun Huang
Poster
Sat 8:30 OffsetOPT: Explicit Surface Reconstruction without Normals
Huan Lei
Poster
Sun 8:30 Devil is in the Detail: Towards Injecting Fine Details of Image Prompt in Image Generation via Conflict-free Guidance and Stratified Attention
Kyungmin Jo · Jooyeol Yun · Jaegul Choo
Poster
Fri 14:00 Noise Modeling in One Hour: Minimizing Preparation Efforts for Self-supervised Low-Light RAW Image Denoising
Feiran Li · Haiyang Jiang · Daisuke Iso
Poster
Sun 8:30 SfM-Free 3D Gaussian Splatting via Hierarchical Training
Bo Ji · Angela Yao
Poster
Sat 15:00 Heterogeneous Skeleton-Based Action Representation Learning
Xiaoyan Ma · jidong kuang · Hongsong Wang · Jie Gui
Poster
Sat 15:00 Point Cloud Upsampling Using Conditional Diffusion Module with Adaptive Noise Suppression
Boqian Zhang · shen yang · Hao Chen · Chao Yang · Jing Jia · Guang Jiang
Poster
Fri 14:00 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data
Yuchuan Li · Jae-Mo Kang · Il-Min Kim
Poster
Sun 8:30 Cubify Anything: Scaling Indoor 3D Object Detection
Justin Lazarow · David Griffiths · Gefen Kohavi · Francisco Crespo · Afshin Dehghan