Improved Low Resolution Heterogeneous Face Recognition Using Re-ranking. - Sivaram Prasad Mudunuri; Shashanka Venkataramanan; Soma Biswas (NCVPRIPG, 2017)

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

Dictionary Alignment With Re-Ranking for Low-Resolution NIR-VIS Face Recognition. - Sivaram Prasad Mudunuri; Shashanka Venkataramanan; Soma Biswas (IEEE Trans. Inf. Forensics Secur., 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)

AlignMix: Improving representation by interpolating aligned features. - Shashanka Venkataramanan; Yannis Avrithis; Ewa Kijak; Laurent Amsaleg (CoRR, 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)

AlignMixup: Improving Representations By Interpolating Aligned Features. - Shashanka Venkataramanan; Ewa Kijak; Laurent Amsaleg; Yannis Avrithis (CVPR, 2022)

It Takes Two to Tango: Mixup for Deep Metric Learning. - Shashanka Venkataramanan; Bill Psomas; Ewa Kijak; Laurent Amsaleg; Konstantinos Karantzalos; Yannis Avrithis (ICLR, 2022)

Teach me how to Interpolate a Myriad of Embeddings. - Shashanka Venkataramanan; Ewa Kijak; Laurent Amsaleg; Yannis Avrithis (CoRR, 2022)

Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples. - Shashanka Venkataramanan; Ewa Kijak; Laurent Amsaleg; Yannis Avrithis (NeurIPS, 2023)

Skip-Attention: Improving Vision Transformers by Paying Less Attention. - Shashanka Venkataramanan; Amir Ghodrati; Yuki M. Asano; Fatih Porikli; Amirhossein Habibian (ICLR, 2024)

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video. - Shashanka Venkataramanan; Mamshad Nayeem Rizve; João Carreira 001; Yuki M. Asano; Yannis Avrithis (ICLR, 2024)

Metric learning for instance and category-level visual representation. (Apprentissage métrique pour la représentation visuelle au niveau des instances et des catégories). - Shashanka Venkataramanan (2024)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. - Mohammadreza Salehi; Shashanka Venkataramanan; Ioana Simion; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2025)

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. - Shashanka Venkataramanan; Valentinos Pariza; Mohammadreza Salehi; Lukas Knobel; Spyros Gidaris; Elias Ramzi; Andrei Bursuc; Yuki M. Asano (CoRR, 2025)