9 citations · 12 across the 4 of their papers we have counts for
5 papers
PPMStereo: Pick-and-Play Memory Construction for Consistent Dynamic Stereo Matching
Yun Wang, Junjie Hu, Qiaole Dong +4
Temporally consistent depth estimation from stereo video is critical for real-world applications such as augmented reality, where inconsistent depth estimation disrupts the immersi…
ELHPlan: Efficient Long-Horizon Task Planning for Multi-Agent Collaboration
Shaobin Ling, Yun Wang, Chenyou Fan +2
Large Language Models (LLMs) enable intelligent multi-robot collaboration but face fundamental trade-offs: open-loop methods that compile tasks into formal representations for exte…
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
Yun Wang, Longguang Wang, Chenghao Zhang +6
Recently, learning-based stereo matching networks have advanced significantly. However, they often lack robustness and struggle to achieve impressive cross-domain performance due t…
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu, Chenyou Fan, Mete Ozay +3
We study a practical yet hasn't been explored problem: how a drone can perceive in an environment from different flight heights. Unlike autonomous driving, where the perception is…
Boosting Light-Weight Depth Estimation Via Knowledge Distillation
Junjie Hu, Chenyou Fan, Hualie Jiang +4
Monocular depth estimation (MDE) methods are often either too computationally expensive or not accurate enough due to the trade-off between model complexity and inference performan…