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*: equivalent contribution, †: corresponding author
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Deep Object-Centric 3D Perception |
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Enhancing Generalizable 6D Pose Tracking of an In-Hand Object with Tactile Sensing |
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MoRig: Motion-Aware Rigging of Character Meshes from Point Clouds |
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Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding |
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HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction |
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Rotationally Equivariant 3D Object Detection |
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AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation |
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CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance |
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Multi-Robot Active Mapping via Neural Bipartite Graph Matching |
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APES: Articulated Part Extraction from Sprite Sheets |
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Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction |
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PTR: A Benchmark for Part-based Conceptual, Relational, and Physical Reasoning |
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Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds |
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Contrastive Multimodal Fusion with TupleInfoNCE |
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P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding |
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Compositionally Generalizable 3D Structure Prediction |
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Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments |
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Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds |
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Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks |
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Curriculum DeepSDF |
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SAPIEN: A SimulAted Part-based Interactive ENvironment |
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Category-Level Articulated Object Pose Estimation |
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StructEdit: Learning Structural Shape Variations |
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AdaCoSeg: Adaptive Shape Co-Segmentation with Group Consistency Loss |
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation |
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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud |
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TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes |
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Supervised Fitting of Geometric Primitives to 3D Point Clouds |
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PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding |
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GeoNet: Deep Geodesic Networks for Point Cloud Analysis |
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Deep Part Induction from Articulated Object Pairs |
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Beyond Holistic Object Recognition: Enriching Image Understanding with Part States |
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space |
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Learning Hierarchical Shape Segmentation and Labeling from Online Repositories |
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SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation |
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A Scalable Active Framework for Region Annotation in 3D Shape Collections |
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ShapeNet: An Information-Rich 3D Model Repository |
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3D-Assisted Image Feature Synthesis for Novel Views of an Object |
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Image Super-Resolution Via Analysis Sparse Prior |
