BSUV-Net featured in an online article

BSUV-Net (Background Subtraction for Unseen Videos), a toolbox of algorithms for detecting changes in video streams developed by PhD candidate M. Ozan Tezcan,  has been recently featured in an article on the website of the Rafik B. Hariri Institute for Computing and Computational Science & Engineering. 

COSSY featured in two on-line articles

The Computational Occupancy Sensing System (COSSY) under the development with funding from the Advanced Research Projects Agency – Energy (ARPA-E) has been recently featured in a College of Engineering article and another one published by The Brink. Both focus on the the applicability of COSSY not only to saving energy but also as a tool to provide safe […]

BSUV-Net 2.0 published in IEEE Access

Two extensions of the original BSUV-Net (Background Subtraction for Unseen Videos) deep-learning algorithm have been published in a recent article: M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net 2.0: Spatio-temporal data augmentation for video-agnostic supervised background subtraction,” IEEE Access, vol. 9, pp. 53849-53860, Apr. 2021.

3 papers accepted to CVPR workshops

Our papers have been accepted to CVPR workshops: Z. Duan, M.O. Tezcan, H. Nakamura, P. Ishwar and J. Konrad, “RAPiD: Rotation-Aware People Detection in Overhead Fisheye Images”, in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Omnidirectional Computer Vision in Research and Industry (OmniCV) Workshop, June 2020. M.Cokbas, P. Ishwar, and J. Konrad, “Low-Resolution […]

Paper accepted at WACV

Our paper: M. Tezcan, P. Ishwar, and J. Konrad, “BSUV-Net: A fully-convolutional neural network for background subtraction of unseen videos” was accepted at the 2020 Winter Conference on Applications of Computer Vision (WACV) to be held March 1-5, 2020 in Snowmass, Colorado.

New paper and dataset presented at AVSS

Our paper: S. Li, M.O. Tezcan. P. Ishwar, and J. Konrad, “Supervised people counting using an overhead fisheye camera”, in Proc. IEEE Intern. Conf. on Advanced Visual and Signal-Based Surveillance (AVSS), Sep. 2019 was just presented at AVSS in Taipei, Taiwan. In the paper, we introduced a new dataset Human-Aligned Bounding Boxes from Overhead Fisheye cameras (HABBOF) that […]

Jinyuan Zhao graduates

On August 23, 2019 Jinyuan Zhao, a PhD candidate working under supervision of Profs. Ishwar and Konrad, defended his dissertation entitled “Active Scene Illumination Methods for Privacy-Preserving Indoor Occupant Localization”. Upon graduation, Jinyuan will join Google.

Jiawei Chen graduates

On July 25, 2019 Jiawei Chen, a PhD candidate working under supervision of Profs. Konrad and Ishwar, defended his dissertation entitled “Privacy-Preserving Smart-Room Visual Analytics”. Upon graduation, Jiawei will join Oppo US Rsearch Center.

Ishwar receives $1M NSF grant

Profs. Ishwar jointly with Profs. Betke and Wijaya from CS and Prof. Guo from Emerging Media Studies won a $1M grant from the National Science Foundation (NSF) entitled “Multiplatform, Multilingual, and Multimodal Tools for Analyzing Public Communication in over 100 Languages”. The team will utilize their expertise in Machine Learning, Natural Language Processing, Computer Vision, and […]

Konrad and Ishwar win a grant from ARPA-E

Profs. Konrad, Ishwar and Little from ECE and Prof. Gevelber from ME have jointly won a $1M grant from the Advanced Research Projects Agency – Energy (ARPA-E) entitled “Scalable, Dual-Mode Occupancy Sensing for Commercial Venues”. The team will develop an occupancy sensing system to estimate the number of people in commercial spaces and monitor how […]