no code implementations • ICCV 2019 • Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang
Person re-identification (re-ID) aims at matching images of the same identity across camera views.
no code implementations • 25 Jul 2019 • Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang
Moreover, the extension of our model for semi-supervised re-ID further confirms the scalability of our proposed method for real-world scenarios and applications.
no code implementations • ECCV 2018 • Hsueh-Fu Lu, Xiaofei Du, Ping-Lin Chang
Accurately localising object proposals is an important precondition for high detection rate for the state-of-the-art object detection frameworks.
no code implementations • 7 May 2018 • Sebastian Bodenstedt, Max Allan, Anthony Agustinos, Xiaofei Du, Luis Garcia-Peraza-Herrera, Hannes Kenngott, Thomas Kurmann, Beat Müller-Stich, Sebastien Ourselin, Daniil Pakhomov, Raphael Sznitman, Marvin Teichmann, Martin Thoma, Tom Vercauteren, Sandrine Voros, Martin Wagner, Pamela Wochner, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel
The paper presents a comparative validation study of different vision-based methods for instrument segmentation and tracking in the context of robotic as well as conventional laparoscopic surgery.
no code implementations • 25 Apr 2018 • Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang
Person re-identification (Re-ID) aims at recognizing the same person from images taken across different cameras.
Ranked #19 on Unsupervised Domain Adaptation on Duke to Market
1 code implementation • 18 Oct 2017 • Thomas Kurmann, Pablo Marquez Neila, Xiaofei Du, Pascal Fua, Danail Stoyanov, Sebastian Wolf, Raphael Sznitman
An additional advantage of our approach is that instrument detection at test time is achieved while avoiding the need for scale-dependent sliding window evaluation.
no code implementations • 3 Aug 2017 • Xiaofei Du, Alessio Dore, Danail Stoyanov
Tracking-by-detection algorithms are widely used for visual tracking, where the problem is treated as a classification task where an object model is updated over time using online learning techniques.
no code implementations • 22 Jun 2017 • Geoffrey Jones, Neil T. Clancy, Xiaofei Du, Maria Robu, Simon Arridge, Daniel S. Elson, Danail Stoyanov
Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation.