1 Table of Contents: “... Representation Learning -- Target-Absent Human Attention -- Uncertainty-Based Spatial-Temporal Attention...”

2 Table of Contents: “... Manipulation from Human Videos -- Sim-2-Sim Transfer for Vision-and-Language Navigation in Continuous...”

3 Table of Contents: “... Human Volumetric Capture -- Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery...”

4 Table of Contents: “...UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture -- Skeleton-Parted Graph...”

5 Table of Contents: “...UnrealEgo: A New Dataset for Robust Egocentric 3D Human Motion Capture -- Skeleton-Parted Graph...”

6 Table of Contents: “...P-STMO: Pre-trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation -- D&D...”

7 Table of Contents: “... methodologies -- machine learning -- computer graphics -- human-centered computing -- information systems...”

8 Table of Contents: “... methodologies -- machine learning -- computer graphics -- human-centered computing -- information systems...”

9 Table of Contents: “... methodologies -- machine learning -- computer graphics -- human-centered computing -- information systems...”

10 Table of Contents: “... -- IntegratedPIFu: Integrated Pixel Aligned Implicit Function for Single-View Human Reconstruction -- Realistic One...”

11 Table of Contents: “... Human Relighting -- 3D-Aware Indoor Scene Synthesis with Depth Priors -- Deep Portrait Delighting...”

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

13 Table of Contents: “...: Generating Diverse Human Motions from Textual Descriptions -- Tracking Every Thing in the Wild -- HULC: 3D...”

14 Table of Contents: “... for Colour-Invariant Object Recognition -- Real-Time Human Pose Recognition in Parts from Single Depth Images...”

15 Table of Contents: “... Sequence of Human Comparison and Classification Using Current and Varifolds -- Conditional-Flow NeRF...”

16 Table of Contents: “...Is Human Vision Any Good? -- Knowing a Good Feature When You See It: Ground Truth and Methodology...”

17 Table of Contents: “...-Grained Scene Graph Generation with Data Transfer -- Pose2Room: Understanding 3D Scenes from Human...”

18 Table of Contents: “... and How Much Supervision Do We Need? -- Recognizing Human Actions by Using Effective Codebooks...”

19 Table of Contents: “... Learning from Egocentric Videos -- GIMO: Gaze-Informed Human Motion Prediction in Context -- Image-Based...”

20 Table of Contents: “... Image Retrieval -- Relighting4D: Neural Relightable Human from Videos -- Real-Time Intermediate Flow...”