Signal dependent degradation in noise performance of optimum detectors for multiple signal detection. - Abhijit Mahalanobis (IEEE Trans. Signal Process., 1991)

Correlation filters for texture recognition and applications to terrain-delimitation in wide-area surveillance. - Hemant Singh; Abhijit Mahalanobis (ICASSP (5), 1994)

Ordered rules for full sentence translation: A neural network realization and a case study for Hindi and English. - Anoop Chandola; Abhijit Mahalanobis (Pattern Recognit., 1994)

Editorial. - Abhijit Mahalanobis (Pattern Recognit., 1994)

Optimal tradeoff circular harmonic function correlation filter methods providing controlled in-plane rotation response. - B. V. K. Vijaya Kumar; Abhijit Mahalanobis; Alex Takessian (IEEE Trans. Image Process., 2000)

Analysis of the Contention Access Phase of a Reservation MAC Protocol for Wide-Area Data Intensive Sensor Networks. - Arindam Kumar Das; Sumit Roy 001; Abhijit Mahalanobis (GLOBECOM, 2007)

Recent developments in coded aperture multiplexed imaging systems. - Abhijit Mahalanobis; C. Reyner; T. Haberfelde; Mark A. Neifeld; B. V. K. Vijaya Kumar (Visual Information Processing, 2008)

Transform domain adaptive compressive sensing of specific objects. - Abhijit Mahalanobis (Visual Information Processing, 2011)

Maximum Margin Correlation Filter: A New Approach for Localization and Classification. - Andres Rodriguez 001; Vishnu Naresh Boddeti; B. V. K. Vijaya Kumar; Abhijit Mahalanobis (IEEE Trans. Image Process., 2013)

Efficient target detection using an adaptive compressive imager. - Abhijit Mahalanobis; Robert Muise; Sumit Roy 001 (IEEE Trans. Aerosp. Electron. Syst., 2014)

BasisConv: A method for compressed representation and learning in CNNs. - Muhammad Tayyab; Abhijit Mahalanobis (CoRR, 2019)

Attention Guided Anomaly Detection and Localization in Images. - Shashanka Venkataramanan; Kuan-Chuan Peng; Rajat Vikram Singh; Abhijit Mahalanobis (CoRR, 2019)

Attention Guided Anomaly Localization in Images. - Shashanka Venkataramanan; Kuan-Chuan Peng; Rajat Vikram Singh; Abhijit Mahalanobis (ECCV (17), 2020)

Target Detection in Cluttered Environments Using Infra-Red Images. - Bruce McIntosh; Shashanka Venkataramanan; Abhijit Mahalanobis (ICIP, 2020)

Multiple View Generation and Classification of Mid-wave Infrared Images using Deep Learning. - Maliha Arif; Abhijit Mahalanobis (CoRR, 2020)

Multiview Automatic Target Recognition for Infrared Imagery Using Collaborative Sparse Priors. - Xuelu Li; Vishal Monga; Abhijit Mahalanobis (IEEE Trans. Geosci. Remote. Sens., 2020)

Few Shot Learning For Infra-Red Object Recognition Using Analytically Designed Low Level Filters For Data Representation. - Maliha Arif; Abhijit Mahalanobis (ICIP, 2021)

Detection of Small Moving Ground Vehicles in Cluttered Terrain Using Infrared Video Imagery. - Adam Cuellar; Abhijit Mahalanobis (ICIP, 2021)

Two-Stream Boosted TCRNet for Range-Tolerant Infra-Red Target Detection. - Md Jibanul Haque Jiban; Shah Hassan; Abhijit Mahalanobis (ICIP, 2021)

Compressing Deep CNNs Using Basis Representation and Spectral Fine-Tuning. - Muhammad Tayyab; Fahad Ahmad Khan; Abhijit Mahalanobis (ICIP, 2021)

Infrared Target Recognition Using Realistic Training Images Generated by Modifying Latent Features of an Encoder-Decoder Network. - Maliha Arif; Abhijit Mahalanobis (IEEE Trans. Aerosp. Electron. Syst., 2021)

Infrared Target Detection in Cluttered Environments by Maximization of a Target to Clutter Ratio (TCR) Metric Using a Convolutional Neural Network. - Bruce McIntosh; Shashanka Venkataramanan; Abhijit Mahalanobis (IEEE Trans. Aerosp. Electron. Syst., 2021)

Background-Tolerant Object Classification With Embedded Segmentation Mask For Infrared And Color Imagery. - Maliha Arif; Calvin Yong; Abhijit Mahalanobis; Nazanin Rahnavard (ICIP, 2022)

Simultaneous Learning and Compression for Convolution Neural Networks. - Muhammad Tayyab; Abhijit Mahalanobis (ICIP, 2022)

Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs. - Maliha Arif; Calvin Yong; Abhijit Mahalanobis (CoRR, 2022)

Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning. - Daniel Brignac; Niels Lobo; Abhijit Mahalanobis (ICCV (Workshops), 2023)

Adapting Classifiers to Changing Class Priors During Deployment. - Natnael Daba; Bruce McIntosh; Abhijit Mahalanobis (PKDD/ECML Workshops (4), 2023)

Leveraging Low Rank Filters for Efficient and Knowledge-Preserving Lifelong Learning. - Muhammad Tayyab; Abhijit Mahalanobis (PKDD/ECML Workshops (4), 2023)

Detection of Small Moving Targets in Cluttered Infrared Imagery. - Adam Cuellar; Abhijit Mahalanobis (IEEE Trans. Aerosp. Electron. Syst., 2023)

Vision-Language Feature Refinement for Zero-Shot Object Counting. - Md Jibanul Haque Jiban; Abhijit Mahalanobis; Niels da Vitoria Lobo (ICFSP, 2024)

Cascading Unknown Detection With Known Classification For Open Set Recognition. - Daniel Brignac; Abhijit Mahalanobis (ICIP, 2024)

Detection and Localization of Small Moving Objects in the Presence of Sensor and Platform Movement. - Adam Cuellar; Abhijit Mahalanobis; Christopher Kyle Renshaw; Wasfy Mikhael (Sensors, 2024)

CrossModalityDiffusion: Multi-Modal Novel View Synthesis with Unified Intermediate Representation. - Alex Berian; Daniel Brignac; JhihYang Wu; Natnael Daba; Abhijit Mahalanobis (WACV (Workshops), 2025)