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
|
|