2 citations · 3 across the 5 of their papers we have counts for
5 papers
FreeArtGS: Articulated Gaussian Splatting Under Free-moving Scenario
Hang Dai, Hongwei Fan, Han Zhang +3
The increasing demand for augmented reality and robotics is driving the need for articulated object reconstruction with high scalability. However, existing settings for reconstruct…
TwinAligner: Visual-Dynamic Alignment Empowers Physics-aware Real2Sim2Real for Robotic Manipulation
Hongwei Fan, Hang Dai, Jiyao Zhang +7
The robotics field is evolving towards data-driven, end-to-end learning, inspired by multimodal large models. However, reliance on expensive real-world data limits progress. Simula…
Waymo-3DSkelMo: A Multi-Agent 3D Skeletal Motion Dataset for Pedestrian Interaction Modeling in Autonomous Driving
Guangxun Zhu, Shiyu Fan, Hang Dai +1
Large-scale high-quality 3D motion datasets with multi-person interactions are crucial for data-driven models in autonomous driving to achieve fine-grained pedestrian interaction u…
IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution
Athanasios Tragakis, Chaitanya Kaul, Kevin J. Mitchell +3
Accurate depth estimation is crucial for many fields, including robotics, navigation, and medical imaging. However, conventional depth sensors often produce low-resolution (LR) dep…
UniVision: A Unified Framework for Vision-Centric 3D Perception
Yu Hong, Qian Liu, Huayuan Cheng +5
The past few years have witnessed the rapid development of vision-centric 3D perception in autonomous driving. Although the 3D perception models share many structural and conceptua…