activity
20122024
most citedDefense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

279 citations · 1.9k across the 91 of their papers we have counts for

collaborators

115 papers

cs.CV2024

FaceXFormer: A Unified Transformer for Facial Analysis

Kartik Narayan, Vibashan VS, Rama Chellappa +1

In this work, we introduce FaceXFormer, an end-to-end unified transformer model capable of performing ten facial analysis tasks within a single framework. These tasks include face…

cs.CV2023

Distillation-guided Representation Learning for Unconstrained Gait Recognition

Yuxiang Guo, Siyuan Huang, Ram Prabhakar +3

Gait recognition holds the promise of robustly identifying subjects based on walking patterns instead of appearance information. While previous approaches have performed well for c…

cs.CV2023

MOST: Multiple Object localization with Self-supervised Transformers for object discovery

Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa +1

We tackle the challenging task of unsupervised object localization in this work. Recently, transformers trained with self-supervised learning have been shown to exhibit object loca…

cs.CV2022

A Brief Survey on Person Recognition at a Distance

Chrisopher B. Nalty, Neehar Peri, Joshua Gleason +4

Person recognition at a distance entails recognizing the identity of an individual appearing in images or videos collected by long-range imaging systems such as drones or surveilla…

cs.CV2022

Multi-Modal Human Authentication Using Silhouettes, Gait and RGB

Yuxiang Guo, Cheng Peng, Chun Pong Lau +1

Whole-body-based human authentication is a promising approach for remote biometrics scenarios. Current literature focuses on either body recognition based on RGB images or gait rec…

cs.CV2022

PDRF: Progressively Deblurring Radiance Field for Fast and Robust Scene Reconstruction from Blurry Images

Cheng Peng, Rama Chellappa

We present Progressively Deblurring Radiance Field (PDRF), a novel approach to efficiently reconstruct high quality radiance fields from blurry images. While current State-of-The-A…