2 citations · 4 across the 6 of their papers we have counts for
6 papers
Improving Local Feature Matching by Entropy-inspired Scale Adaptability and Flow-endowed Local Consistency
Ke Jin, Jiming Chen, Qi Ye
Recent semi-dense image matching methods have achieved remarkable success, but two long-standing issues still impair their performance. At the coarse stage, the over-exclusion issu…
DexRepNet++: Learning Dexterous Robotic Manipulation with Geometric and Spatial Hand-Object Representations
Qingtao Liu, Zhengnan Sun, Yu Cui +5
Robotic dexterous manipulation is a challenging problem due to high degrees of freedom (DoFs) and complex contacts of multi-fingered robotic hands. Many existing deep reinforcement…
The Developments and Challenges towards Dexterous and Embodied Robotic Manipulation: A Survey
Gaofeng Li, Ruize Wang, Peisen Xu +2
Achieving human-like dexterous robotic manipulation remains a central goal and a pivotal challenge in robotics. The development of Artificial Intelligence (AI) has allowed rapid pr…
Motion planning for highly-dynamic unconditioned reflexes based on chained Signed Distance Functions
Ken Lin, Qi Ye, Tin Lun Lam +3
The unconditioned reflex (e.g., protective reflex), which is the innate reaction of the organism and usually performed through the spinal cord rather than the brain, can enable org…
Context-Aware Integration of Language and Visual References for Natural Language Tracking
Yanyan Shao, Shuting He, Qi Ye +3
Tracking by natural language specification (TNL) aims to consistently localize a target in a video sequence given a linguistic description in the initial frame. Existing methodolog…
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt Denoising
Tao Zhou, Wenhan Luo, Qi Ye +2
Recently, promptable segmentation models, such as the Segment Anything Model (SAM), have demonstrated robust zero-shot generalization capabilities on static images. These promptabl…