activity
20132023
most citedForensic shoe-print identification: a brief survey

13 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Adversarial Attacks Assessment of Salient Object Detection via Symbolic Learning

Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez +5

Machine learning is at the center of mainstream technology and outperforms classical approaches to handcrafted feature design. Aside from its learning process for artificial featur…

cs.CV2019★ 2 cited

Localization of Unmanned Aerial Vehicles in Corridor Environments using Deep Learning

Ram Prasad Padhy, Shahzad Ahmad, Sachin Verma +2

Vision-based pose estimation of Unmanned Aerial Vehicles (UAV) in unknown environments is a rapidly growing research area in the field of robot vision. The task becomes more comple…

cs.CV2019★ 2 cited

The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix

Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28

This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…

cs.CV2019★ 13 cited

Forensic shoe-print identification: a brief survey

Imad Rida, Lunke Fei, Hugo Proença +2

As an advanced research topic in forensics science, automatic shoe-print identification has been extensively studied in the last two decades, since shoe marks are the clues most fr…

cs.CV2013★ 1 cited

Stratified SIFT Matching for Human Iris Recognition

Sambit Bakshi, Hunny Mehrotra, Banshidhar Majhi

This paper proposes an efficient three fold stratified SIFT matching for iris recognition. The objective is to filter wrongly paired conventional SIFT matches. In Strata I, the key…