20 citations · 32 across the 8 of their papers we have counts for
12 papers
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars
Xiaoyu Xiang, Jon Morton, Fitsum A Reda +6
A promising direction for recovering the lost information in low-resolution headshot images is utilizing a set of high-resolution exemplars from the same identity. Complementary im…
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
Prithviraj Dhar, Amit Kumar, Kirsten Kaplan +3
A practical eye authentication (EA) system targeted for edge devices needs to perform authentication and be robust to presentation attacks, all while remaining compute and latency…
EVRNet: Efficient Video Restoration on Edge Devices
Sachin Mehta, Amit Kumar, Fitsum Reda +4
Video transmission applications (e.g., conferencing) are gaining momentum, especially in times of global health pandemic. Video signals are transmitted over lossy channels, resulti…
Landmark Detection in Low Resolution Faces with Semi-Supervised Learning
Amit Kumar, Rama Chellappa
Landmark detection algorithms trained on high resolution images perform poorly on datasets containing low resolution images. This deters the performance of algorithms relying on qu…
A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification
Pirazh Khorramshahi, Amit Kumar, Neehar Peri +3
In recent years, attention models have been extensively used for person and vehicle re-identification. Most re-identification methods are designed to focus attention on key-point l…
Disentangling 3D Pose in A Dendritic CNN for Unconstrained 2D Face Alignment
Amit Kumar, Rama Chellappa
Heatmap regression has been used for landmark localization for quite a while now. Most of the methods use a very deep stack of bottleneck modules for heatmap classification stage,…