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20162024
most citedUPSET and ANGRI : Breaking High Performance Image Classifiers

91 citations · 359 across the 33 of their papers we have counts for

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Showing 2022 · cs.CVShow all

8 papers · 2 filters

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…

cs.CV2022★ 1 cited

Scalable Vehicle Re-Identification via Self-Supervision

Pirazh Khorramshahi, Vineet Shenoy, Rama Chellappa

As Computer Vision technologies become more mature for intelligent transportation applications, it is time to ask how efficient and scalable they are for large-scale and real-time…

cs.CV2022★ 1 cited

Scalable and Real-time Multi-Camera Vehicle Detection, Re-Identification, and Tracking

Pirazh Khorramshahi, Vineet Shenoy, Michael Pack +1

Multi-camera vehicle tracking is one of the most complicated tasks in Computer Vision as it involves distinct tasks including Vehicle Detection, Tracking, and Re-identification. De…

cs.CV2022★ 2 cited

Where in the World is this Image? Transformer-based Geo-localization in the Wild

Shraman Pramanick, Ewa M. Nowara, Joshua Gleason +2

Predicting the geographic location (geo-localization) from a single ground-level RGB image taken anywhere in the world is a very challenging problem. The challenges include huge di…