research
∙
08/16/2019
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification
Person re-identification (re-ID) aims at matching images of the same ide...
share
research
∙
07/25/2019
Learning Resolution-Invariant Deep Representations for Person Re-Identification
Person re-identification (re-ID) solves the task of matching images acro...
research
∙
07/25/2018
Toward Scale-Invariance and Position-Sensitive Region Proposal Networks
Accurately localising object proposals is an important precondition for ...
research
∙
05/07/2018
Comparative evaluation of instrument segmentation and tracking methods in minimally invasive surgery
Intraoperative segmentation and tracking of minimally invasive instrumen...
research
∙
04/25/2018
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification
Person re-identification (Re-ID) aims at recognizing the same person fro...
research
∙
04/09/2018
Automated pick-up of suturing needles for robotic surgical assistance
Robot-assisted laparoscopic prostatectomy (RALP) is a treatment for pros...
research
∙
10/18/2017
Simultaneous Recognition and Pose Estimation of Instruments in Minimally Invasive Surgery
Detection of surgical instruments plays a key role in ensuring patient s...
research
∙
08/03/2017
Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking
Tracking-by-detection algorithms are widely used for visual tracking, wh...
research
∙
06/22/2017
