1 Table of Contents: “... Object Tracking on Point Clouds -- Object Wake-Up: 3D Object Rigging from a Single Image...”

2 Table of Contents: “... Denoising Using Dual Graph Convolutional Networks -- diffConv: Analyzing Irregular Point Clouds...”

3 Table of Contents: “... to Generate Realistic LiDAR Point Clouds -- RFNet-4D: Joint Object Reconstruction and Flow Estimation from 4D...”

4 Table of Contents: “...Salient Object Detection for Point Clouds -- Learning Semantic Segmentation from Multiple Datasets...”

5 Table of Contents: “... Is Worth a Thousand Words: Image Retrieval with Text and Sketch -- A Cloud 3D Dataset and Application...”

6 Table of Contents: “... Segmentation for LiDAR Point Clouds -- Visual Cross-View Metric Localization with Dense Uncertainty Estimates...”

7 Table of Contents: “... -- Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter -- Union-Set Multi-source...”

8 Table of Contents: “...Learning Depth from Focus in the Wild -- Learning-Based Point Cloud Registration for 6D Object Pose...”

9 Table of Contents: “... for Object Detection -- CPO: Change Robust Panorama to Point Cloud Localization -- INT: Towards Infinite...”

10 Table of Contents: “... and Searching Neural Architectures for 3D Point Clouds -- Uncertainty-DTW for Time Series and Sequences -- Black...”

11 Table of Contents: “... of Large-Scale 3D Point Clouds -- PointMixer: MLP-Mixer for Point Cloud Understanding -- Initialization...”

12 Table of Contents: “... Point Cloud Segmentation -- Semantic-Aware Fine-Grained Correspondence -- Self-Supervised Classification...”

13 Table of Contents: “... Detection Transformers for Language Grounding in Images and Point Clouds -- New Datasets and Models...”

14 Table of Contents: “... Synthesis of Object Point Clouds for Closing Domain Gap...”

15 Table of Contents: “... for 3D Object Detection in Point Clouds -- PCR-CG: Point Cloud Registration via Deep Explicit Color...”

16 Table of Contents: “... Rotation with Extensibility Graphs -- Point Cloud Compression with Range Image-Based Entropy Model...”

17 Table of Contents: “... Clouds -- Cross-Domain Few-Shot Semantic Segmentation -- Generative Subgraph Contrast for Self-Supervised...”

18 Table of Contents: “... -- GraphFit: Learning Multi-Scale Graph-Convolutional Representation for Point Cloud Normal Estimation...”

19 Table of Contents: “... for Depth Estimation -- Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models -- FAR...”

20 Table of Contents: “...Improving Adversarial Robustness of 3D Point Cloud Classification Models -- Learning Extremely...”