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.
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 […]
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.
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 […]
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.
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.
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 […]
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 […]
On April 27, 2017, Amanda Gaudreau, a PhD candidate working under supervision of Profs. Konrad and Goldstein, defended her dissertation entitled “Methods and algorithms for quantitative analysis of metallomic images to assess traumatic brain injury”.
Jonathan Wu, a Postdoctoral Fellow at the NSF Lighting Enabled Systems and Applications (LESA) Engineering Research Center joins Amazon Web Services, Seattle, WA to work in the machine learning group.