5 citations · 5 across the 1 of their papers we have counts for
4 papers
SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction
Jingpei Lu, Ambareesh Jayakumari, Florian Richter +2
Robotic automation in surgery requires precise tracking of surgical tools and mapping of deformable tissue. Previous works on surgical perception frameworks require significant eff…
Attribute-aware Pedestrian Detection in a Crowd
Jialiang Zhang, Lixiang Lin, Yang Li +4
Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an essential role in many real-world applications. Although having enjoyed the merits of deep…
SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Yang Li, Florian Richter, Jingpei Lu +4
Traditional control and task automation have been successfully demonstrated in a variety of structured, controlled environments through the use of highly specialized modeled roboti…
Effective Occlusion Handling for Fast Correlation Filter-based Trackers
Zheng Zhang, T. T. Wong
Correlation filter-based trackers heavily suffer from the problem of multiple peaks in their response maps incurred by occlusions. Moreover, the whole tracking pipeline may break d…