geometric structure

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers ICLR 2024 Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024 Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning ICLR 2024 A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design NeurIPS 2023 Contrastive Loss is All You Need to Recover Analogies as Parallel Lines ACL 2023 Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation CVPR 2023 Implicit Surface Contrastive Clustering for LiDAR Point Clouds CVPR 2023 Locally Regularized Sparse Graph by Fast Proximal Gradient Descent UAI 2023 PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection CVPR 2023 Protein Representation Learning by Geometric Structure Pretraining ICLR 2023 Revisiting Self-Similarity: Structural Embedding for Image Retrieval CVPR 2023 Topological Parallax: A Geometric Specification for Deep Perception Models NeurIPS 2023 Two Heads Are Better than One: Image-Point Cloud Network for Depth-Based 3D Hand Pose Estimation AAAI 2023 3D Scene Painting via Semantic Image Synthesis CVPR 2022 A Class of Geometric Structures in Transfer Learning: Minimax Bounds and Optimality AISTATS 2022 Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation WACV 2022 Geometric Structure Preserving Warp for Natural Image Stitching CVPR 2022 HEAT: Holistic Edge Attention Transformer for Structured Reconstruction CVPR 2022 Last-Mile Embodied Visual Navigation CoRL 2022 Learning Generalizable Part-based Feature Representation for 3D Point Clouds NeurIPS 2022 Learning Superpoint Graph Cut for 3D Instance Segmentation NeurIPS 2022 Transport-Oriented Feature Aggregation for Speaker Embedding Learning Interspeech 2022 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 Box Embeddings: An open-source library for representation learning using geometric structures EMNLP 2021 Data-driven Prediction of General Hamiltonian Dynamics via Learning Exactly-Symplectic Maps ICML 2021