1 Table of Contents: “... to Represent Shape for Repair -- A Repulsive Force Unit for Garment Collision Handling in Neural Networks...”

2 Table of Contents: “...-Shot Mesh-Based Head Avatars -- A Kendall Shape Space Approach to 3D Shape Estimation from 2D Landmarks...”

3 Table of Contents: “... Information in Full Frames into Human Pose and Shape Estimation -- DeciWatch: A Simple Baseline for 10Ö...”

4 Table of Contents: “...Map-Free Visual Relocalization: Metric Pose Relative to a Single Image -- Self-Distilled Feature...”

5 Table of Contents: “...A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing -- MimicME: A Large...”

6 Table of Contents: “... with Fragment Sampling -- Physically-Based Editing of Indoor Scene Lighting from a Single Image -- LEDNet: Joint...”

7 Table of Contents: “... Assessment with Fragment Sampling -- Physically-Based Editing of Indoor Scene Lighting from a Single Image...”

8 Table of Contents: “... with Monocular Images -- TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes -- Is It Necessary...”

9 Table of Contents: “... -- CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One -- Manifold Adversarial...”

10 Table of Contents: “...Bitwidth-Adaptive Quantization-Aware Neural Network Training: A Meta-Learning Approach...”

11 Table of Contents: “... Segmentation -- Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation -- Laplacian...”

12 Table of Contents: “... into Details: Synopsis-to-Detail Networks for Video Recognition -- A Generalized & Robust Framework...”

13 Table of Contents: “... Radiance Fields -- NeuMan: Neural Human Radiance Field from a Single Video -- TAVA: Template-Free...”

14 Table of Contents: “... Detection -- RayTran: 3D Pose Estimation and Shape Reconstruction of Multiple Objects from Videos with Ray...”

15 Table of Contents: “... for Semantic Segmentation -- Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence...”

16 Table of Contents: “... with Depth from Motion -- DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose...”