no code implementations • 22 Dec 2022 • Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
Person re-identification (PRID) has been thoroughly researched in typical surveillance scenarios where various scenes are monitored by side-mounted, rectilinear-lens cameras.
no code implementations • 4 Oct 2022 • Mertcan Cokbas, John Bolognino, Janusz Konrad, Prakash Ishwar
Person re-identification (PRID) from side-mounted rectilinear-lens cameras is a well-studied problem.
1 code implementation • 23 Jan 2021 • M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
In this work, we introduce spatio-temporal data augmentations and apply them to one of the leading video-agnostic BGS algorithms, BSUV-Net.
1 code implementation • 23 May 2020 • Zhihao Duan, M. Ozan Tezcan, Hayato Nakamura, Prakash Ishwar, Janusz Konrad
Recent methods for people detection in overhead, fisheye images either use radially-aligned bounding boxes to represent people, assuming people always appear along image radius or require significant pre-/post-processing which radically increases computational complexity.
no code implementations • 12 Apr 2020 • Mertcan Cokbas, Prakash Ishwar, Janusz Konrad
We propose a people counting system which uses a low-resolution thermal sensor.
no code implementations • 2 Mar 2020 • Hiroki Kawai, Jia-Wei Chen, Prakash Ishwar, Janusz Konrad
We present a novel variational generative adversarial network (VGAN) based on Wasserstein loss to learn a latent representation from a face image that is invariant to identity but preserves head-pose information.
1 code implementation • ICCV 2020 • M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
In order to reduce the chance of overfitting, we also introduce a new data-augmentation technique which mitigates the impact of illumination difference between the background frames and the current frame.
1 code implementation • 26 Jul 2019 • M. Ozan Tezcan, Prakash Ishwar, Janusz Konrad
In order to reduce the chance of overfitting, we also introduce a new data-augmentation technique which mitigates the impact of illumination difference between the background frames and the current frame.
no code implementations • 21 Jun 2019 • Jiawei Chen, Janusz Konrad, Prakash Ishwar
Specifically, we propose a cyclically-trained adversarial network to learn a mapping from image space to latent representation space and back such that the latent representation is invariant to a specified factor of variation (e. g., identity).
no code implementations • 19 Mar 2018 • Jiawei Chen, Janusz Konrad, Prakash Ishwar
Reliable facial expression recognition plays a critical role in human-machine interactions.
Facial Expression Recognition Facial Expression Recognition (FER) +4
no code implementations • 12 Oct 2016 • Jiawei Chen, Jonathan Wu, Janusz Konrad, Prakash Ishwar
Deep convolutional neural networks (ConvNets) have been recently shown to attain state-of-the-art performance for action recognition on standard-resolution videos.