Ph.D Thesis

Dynamic Curve Estimation for Visual Tracking. [thesis, defense]
Ibrahima J. Ndiour. Georgia Institute of Technology. 2010.

Refereed Journal Publications

A Probabilistic Contour Observer for Online Visual Tracking. [manuscript]
Ibrahima J. Ndiour, Jochen Teizer and Patricio A. Vela. SIAM Journal on Imaging Sciences, 2010.

Selected Conference Publications

FRE: A Fast Method For Anomaly Detection And Segmentation. [paper, code]
Ibrahima J. Ndiour, Nilesh Ahuja, Ergin U. Genc and Omesh Tickoo. British Machine Vision Conference (BMVC), 2023.

incDFM: Incremental Deep Feature Modeling for Continual Novelty Detection. [manuscript]
Amanda Rios, Nilesh Ahuja, Ibrahima J. Ndiour, Utku Genc, Laurent Itti, and Omesh Tickoo. European Conference on Computer Vision (ECCV), 2022.

Subspace modeling for fast out-of-distribution and anomaly detection. [paper, code, slides, poster]
Ibrahima J. Ndiour, Nilesh Ahuja, and Omesh Tickoo. IEEE International Conference on Image Processing (ICIP), 2022.

Energy-Based Anomaly Detection and Localization. [paper]
Ergin Utku Genc, Nilesh Ahuja, Ibrahima J. Ndiour and Omesh Tickoo. ICLR Energy-Based Models Workshop, 2021.

Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features. [paper]
Ibrahima J. Ndiour, Nilesh Ahuja, and Omesh Tickoo. arxiv, 2020.

Probabilistic Modeling of Deep Features for Out-of-Distribution and Adversarial Detection. [paper, poster]
Nilesh A. Ahuja, Ibrahima J. Ndiour, Trushant Kalyanpur and Omesh Tickoo. NeurIPS Bayesian Deep Learning Workshop, 2019.

Deep Probabilistic Models to Detect Data Poisoning Attacks. [paper, poster]
Mahesh Subedar, Nilesh Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour and Omesh Tickoo. NeurIPS Bayesian Deep Learning Workshop, 2019.

MARIE - Multimodal Activity Recognition in Industrial Environments.
Giuseppe Raffa, Ibrahima J. Ndiour, Richard Beckwith, Meng Shi, Ron L. Perry, Benjamin W. Bair, Predrag Kisa, and Maja Kisa. Intel Assembly & Test Technology Journal (IATTJ), 2019.

A generic segmentation algorithm for ultra-low power computer vision applications.
Ibrahima J. Ndiour, Teahyung Lee, Julio C. Zamora Esquivel and Omesh Tickoo. Intel Design and Test Technology Conference (DTTC), 2015.

A Local Extended Kalman Filter for Visual Tracking. [paper]
Ibrahima J. Ndiour and Patricio A. Vela. IEEE Conference on Decision and Control (CDC), 2010.

Optimal Estimation Applied to Visual Contour Tracking. [paper, slides]
Ibrahima J. Ndiour and Patricio A. Vela. IEEE American Control Conference (ACC), 2010.

A Probabilistic Observer for Visual Tracking. [paper, slides]
Ibrahima J. Ndiour, Omar Arif, Jochen Teizer and Patricio A. Vela. IEEE American Control Conference (ACC), 2010.

Estimation Theory and Tracking of Deformable Objects. [paper]
Patricio A. Vela and Ibrahima J. Ndiour. IEEE Multi-Conference on Systems and Control, 2010.

Improvements to Concrete Column Detection in Live Video. [paper]
Zhenhua Zhu, Ibrahima J. Ndiour, Ioannis Brilakis, and Patricio A. Vela. International Symposium on Automation and Robotics in Construction (ISARC), 2010.

Towards a Local Kalman Filter for Visual Tracking. [paper, slides]
Ibrahima J. Ndiour and Patricio A. Vela. IEEE Conference on Decision and Control (CDC), 2009.

A Probabilistic Shape Filter for Online Contour Tracking. [paper, poster]
Ibrahima J. Ndiour, Omar Arif, Jochen Teizer and Patricio A. Vela. IEEE International Conference on Image Processing (ICIP), 2009.

Noise Estimation and Adaptive Filtering During Visual Tracking. [paper, poster]
Ibrahima J. Ndiour and Patricio A. Vela. IEEE International Conference on Image Processing (ICIP), 2009.

Multivariate Analysis of Imaging Mass Spectrometry Data. [paper]
Eric R. Muir, Ibrahima J. Ndiour, Nolwenn A. Le Goasduff, Richard A. Moffitt, Ying Liu, M.C. Sullards, A.H. Merrill,Jr., Yanfeng Chen and May D. Wang. IEEE International Conference on BioInformatics and BioEngineering (BIBE), 2007.

Between pass/fail test patterns and standard subjective testing: a new methodology to design test sets and guidelines for visual quality scoring. [paper]
Jorge E. Caviedes, Mahesh Subedar, Ibrahima J. Ndiour, Teahyung Lee and Nilesh Ahuja. Eighth International Workshop on Video Processing and Quality Metrics for Consumer Electronics (VPQM), 2014.

Patents

Multi-domain cascade convolutional neural network. U.S. Patent 10,797,863. Issued Oct 2020.

Multi-domain convolutional neural network. U.S. Patent 10,778,412. Issued Sep 2020.

Context-aware image compression. U.S. Patent 10,742,399. Issued Aug 2020.

Generating heat maps using dynamic vision sensor events. U.S. Patent 10,582,196. Issued March 2020.

Adaptive thresholding for computer vision on low bitrate compressed video streams. U.S. Patent 10,375,407. Issued Aug 2019.

Encoding video frames using generated region of interest maps. U.S. Patent 10,349,060. Issued July 2019.

An efficient pixel-adaptive interpolation technique for real-time, high-quality image/video upscaling. U.S. Patent 8,891,906. Issued Nov 2014.

Ensemble of Bayesian neural networks for uncertainty estimation, outlier detection and continual multitask learning. U.S. Patent Application. Filed Jan 2021.

Methods and apparatus to obtain well-calibrated uncertainty in deep neural networks. U.S. Patent Application. Filed Jan 2021.

Robust multimodal sensor fusion for autonomous driving vehicles. U.S. Patent Application. Filed Oct 2020.

Visual fog. U.S. Patent Application. Filed Aug 2020.

Devices and methods for accurately identifying objects in a vehicle's environment. U.S. Patent Application. Filed July 2020.

Safety system for a vehicle. U.S. Patent Application. Filed Apr 2020.

Hybrid pixel-domain and compressed-domain video analytics framework. U.S. Patent Application. Filed Oct 2019.