HC
Publications
- InfoGCN: Representation Learning for Human Skeleton-based Action Recognition
- A Large-Scale Annotated Mechanical Components Benchmark for Classification and Retrieval Tasks with Deep Neural Networks
- Object Synthesis by Learning Part Geometry with Surface and Volumetric Representations
- An evaluation methodology for 3D deep neural networks using visualization in 3D data classification
- Latent transformations neural network for object view synthesis
- Egocentric view hand action recognition by leveraging hand surface and hand grasp type
- First-Person View Hand Segmentation of Multi-Modal Hand Activity Video Dataset
- Simplification of 3D CAD Model in Voxel Form for Mechanical Parts Using Generative Adversarial Networks
- Pose Relation Transformer Refine Occlusions for Human Pose Estimation
- AdamsFormer for Spatial Action Localization in the Future
- InfoGCN++: Learning Representation by Predicting the Future for Online Human Skeleton-based Action Recognition
- Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
- Interacting Objects: A Dataset of Object-Object Interactions for Richer Dynamic Scene Representations
- Deep Learning‐Assisted Design of Bilayer Nanowire Gratings for High‐Performance MWIR Polarizers
- VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions