Venkataramanan, Shashanka

9 publications

TMLR 2025 IPA: An Information-Reconstructive Input Projection Framework for Efficient Foundation Model Adaptation Yuan Yin, Shashanka Venkataramanan, Tuan-Hung Vu, Andrei Bursuc, Matthieu Cord

ICCV 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

ICLR 2024 Is ImageNet Worth 1 Video? Learning Strong Image Encoders from 1 Long Unlabelled Video Shashanka Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira, Yuki M Asano, Yannis Avrithis

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

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

CVPR 2022 AlignMixup: Improving Representations by Interpolating Aligned Features Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis

NeurIPSW 2022 AlignMixup: Improving Representations by Interpolating Aligned Features Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis

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

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