3 papers
cs.CV2020
Domain Adversarial Training for Infrared-colour Person Re-Identification
Nima Mohammadi Meshky, Sara Iodice, Krystian Mikolajczyk
Person re-identification (re-ID) is a very active area of research in computer vision, due to the role it plays in video surveillance. Currently, most methods only address the task…
cs.CV2019
Person Re-identification with Bias-controlled Adversarial Training
Sara Iodice, Krystian Mikolajczyk
Inspired by the effectiveness of adversarial training in the area of Generative Adversarial Networks we present a new approach for learning feature representations in person re-ide…
cs.CV2018
Partial Person Re-identification with Alignment and Hallucination
Sara Iodice, Krystian Mikolajczyk
Partial person re-identification involves matching pedestrian frames where only a part of a body is visible in corresponding images. This reflects practical CCTV surveillance scena…