Junwei Zheng
収録論文 21本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- IMPACT-HOI: Supervisory Control for Onset-Anchored Partial HOI Event Construction2026/5/1
- Faster or Stronger: Towards Flexible Visual Place Recognition via Weighted Aggregation and Token Pruning2026/5/1
- Towards Multi-Source Domain Generalization for Sleep Staging with Noisy Labels2026/4/1
- Can we Trust Unreliable Voxels? Exploring 3D Semantic Occupancy Prediction under Label Noise2026/3/1
- InterEdit: Navigating Text-Guided 3D Dyadic Human Motion Editing2026/3/1
- Not an Obstacle for Dog, but a Hazard for Human: A Co-Ego Navigation System for Guide Dog Robots2026/3/1
- RefAtomNet++: Advancing Referring Atomic Video Action Recognition using Semantic Retrieval based Multi-Trajectory Mamba2025/10/1
- EReLiFM: Evidential Reliability-Aware Residual Flow Meta-Learning for Open-Set Domain Generalization under Noisy Labels2025/10/1
- RoHOI: Robustness Benchmark for Human-Object Interaction Detection2025/7/1
- Snap, Segment, Deploy: A Visual Data and Detection Pipeline for Wearable Industrial Assistants2025/7/1
- HopaDIFF: Holistic-Partial Aware Fourier Conditioned Diffusion for Referring Human Action Segmentation in Multi-Person Scenarios2025/6/1
- Exploring Video-Based Driver Activity Recognition under Noisy Labels2025/4/1
- Referring Atomic Video Action Recognition2024/7/1
- Skeleton-Based Human Action Recognition with Noisy Labels2024/3/1
- Fourier Prompt Tuning for Modality-Incomplete Scene Segmentation2024/1/1
- Navigating Open Set Scenarios for Skeleton-based Action Recognition2023/12/1
- Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments2023/9/1
- Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision2023/9/1
- Open Scene Understanding: Grounded Situation Recognition Meets Segment Anything for Helping People with Visual Impairments2023/7/1
- Tightly-Coupled LiDAR-Visual SLAM Based on Geometric Features for Mobile Agents2023/7/1
- MateRobot: Material Recognition in Wearable Robotics for People with Visual Impairments2023/2/1