1 Table of Contents: “... Disentanglement with Decoupled Labels for Vision-Language Navigation -- Switch-BERT: Learning to Model Multimodal...”

2 Table of Contents: “... with an Irregular View -- PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows -- SeedFormer: Patch...”

3 Table of Contents: “... and Recovery for Patch Attack with Vision Transformers -- incDFM: Incremental Deep Feature Modeling...”

4 Table of Contents: “...-Frequency Domain Information Integration for Pan-Sharpening -- Adaptive Patch Exiting for Scalable Single...”

5 Table of Contents: “...FedX: Unsupervised Federated Learning with Cross Knowledge Distillation -- W2N: Switching from Weak...”

6 Table of Contents: “... in Automatic Colorization -- Generating Natural Images with Direct Patch Distributions Matching -- Context...”

7 Table of Contents: “... with Combinatorial Patches -- LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling...”

8 Table of Contents: “... on Monocular Depth Estimation with Optimal Adversarial Patches -- ST-P3: End-to-End Vision-Based Autonomous...”

9 Table of Contents: “... It -- Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference -- Patch...”

10 Table of Contents: “... -- Generalizable Patch-Based Neural Rendering -- Improving RGB-D Point Cloud Registration by Learning Multi-Scale...”

11 Table of Contents: “... -- Self-Supervised Social Relation Representation for Human Group Detection -- K-Centered Patch Sampling...”

12 Table of Contents: “...: Steering Counterfactual Explanations with Semantics -- Are Vision Transformers Robust to Patch...”

13 Table of Contents: “... -- SocialVAE: Human Trajectory Prediction Using Timewise Latents -- Shape Matters: Deformable Patch Attack...”