1 code implementation • 24 Oct 2022 • Lucas Jaffe, Avideh Zakhor
In person search, we aim to localize a query person from one scene in other gallery scenes.
Ranked #1 on Person Search on CUHK-SYSU
no code implementations • 15 Feb 2022 • Kehan Wang, David Chan, Seth Z. Zhao, John Canny, Avideh Zakhor
With the growing adoption of short-form video by social media platforms, reducing the spread of misinformation through video posts has become a critical challenge for social media providers.
no code implementations • 1 Feb 2022 • Maxime Kawawa-Beaudan, Ryan Roggenkemper, Avideh Zakhor
Learned image compression methods generally optimize a rate-distortion loss, trading off improvements in visual distortion for added bitrate.
no code implementations • 11 Jan 2022 • Lizhi Yang, Ruhang Ma, Avideh Zakhor
As such, RGB and Infrared (IR) fusion methods for object detection are useful and important.
no code implementations • 5 Jun 2021 • Zach Van Hyfte, Avideh Zakhor
As such, we design three classifiers for situations with low, medium, and high numbers of detectable APs.
no code implementations • 26 May 2021 • Scott McCrae, Kehan Wang, Avideh Zakhor
As computer-generated content and deepfakes make steady improvements, semantic approaches to multimedia forensics will become more important.
no code implementations • 13 Feb 2021 • Jerome Quenum, Kehan Wang, Avideh Zakhor
Object detection in Ultra High-Resolution (UHR) images has long been a challenging problem in computer vision due to the varying scales of the targeted objects.
1 code implementation • 17 Dec 2020 • David Deng, Avideh Zakhor
Since the ground truth in this application is simply the next frame in the sequence, we can train our models in a self-supervised fashion.
no code implementations • 7 Dec 2020 • Mohammad Keshavarzi, Oladapo Afolabi, Luisa Caldas, Allen Y. Yang, Avideh Zakhor
To address this challenge, we introduce GenScan, a generative system that populates synthetic 3D scan datasets in a parametric fashion.
1 code implementation • 25 Jun 2020 • Ilya Chugunov, Avideh Zakhor
Static gesture recognition is an effective non-verbal communication channel between a user and their devices; however many modern methods are sensitive to the relative pose of the user's hands with respect to the capture device, as parts of the gesture can become occluded.