The Hopkins-VIU Lab is a part of the Electrical and Computer Engineering department in Johns Hopkins University. We focus on several theoretical and application aspects of computer vision and image understanding.
Advancing research in computer vision is one of the most important aspects in developing robust artificial intelligent systems. We believe it is critical to develop strong reasoning abilities about the visual world and in that attempt, we work on several areas related to computer vision and image understanding such as recognition, detection, image restoration, user authentication, crowd analytics, cross spectrum face synthesis, domain adaptation, open set recognition, bio-medical image analysis, biometrics, etc. Specifically, we focus on developing a variety of novel machine learning techniques, such as end-to-end deep learning and neural networks for these applications.
Latest News
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Two Best Student Paper Awards at ICPR 2018. Congratulations Xing, Vishwa, Pramuditha and Mahdi!
Aug 1, 2018 -
We won the 1st prize at the 2018 IEEE ICME Grand Challenge on Heterogeneous Face Recognition. Congratulations He!
Aug 1, 2018 -
We won the 1st prize at the NTIRE2018 challenge on image dehazing. Congratulations He and Vishwa!
Jun 1, 2018 -
Our paper “Person recognition beyond the visible spectrum: combining body shape and texture from mmW images” received the Honorable Mention Paper Award at ICB 2018. Congratulations Ester!
Feb 1, 2018 -
Gave a keynote speech on Active Authentication at the 2017 European Intelligence and Security Informatics Conference (EISIC), Hellenic Air Force Academy, Greece.
Sep 1, 2017 -
Our paper “CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting” received the Best Paper Award at AVSS 2017. Congratulations Vishwanath!
Sep 1, 2017 -
Our work on Active Authentication was featured in CBS This Morning Saturday program
Jul 1, 2017 -
Elected as a member of the Information Forensics and Security Technical Committee of the IEEE Signal Processing Society (2017-2019)
Dec 1, 2016 -
Associate Editor of the IEEE Biometrics Compendium
Sep 1, 2016 -
Selected for the A. Walter Tyson Assistant Professorship Award at Rutgers
Sep 1, 2016