Nikhil Parthasarathy

According to our database, Nikhil Parthasarathy authored at least 15 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LiteFrame: Efficient Vision Encoders Unlock Frame Scaling in Video LLMs.

Jihwan Kim, Nikhil Parthasarathy, Danfeng Qin, Junhwa Hur, Deqing Sun, Bohyung Han, Ming-Hsuan Yang, Boqing Gong

CoRR, May, 2026

2025

Recurrent Video Masked Autoencoders.

Daniel Zoran, Nikhil Parthasarathy, Yi Yang, Drew A. Hudson, João Carreira, Andrew Zisserman

CoRR, December, 2025

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Michael Tschannen, Alexey A. Gritsenko, Xiao Wang, Muhammad Ferjad Naeem, Ibrahim Alabdulmohsin, Nikhil Parthasarathy, Talfan Evans, Lucas Beyer, Ye Xia, Basil Mustafa, Olivier J. Hénaff, Jeremiah Harmsen, Andreas Steiner, Xiaohua Zhai

CoRR, February, 2025

LayerLock: Non-Collapsing Representation Learning with Progressive Freezing.

Goker Erdogan, Nikhil Parthasarathy, Catalin Ionescu, Drew A. Hudson, Alexander Lerchner, Andrew Zisserman, Mehdi S. M. Sajjadi, João Carreira

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Active Data Curation Effectively Distills Large-Scale Multimodal Models.

Vishaal Udandarao, Nikhil Parthasarathy, Muhammad Ferjad Naeem, Talfan Evans, Samuel Albanie, Federico Tombari, Yongqin Xian, Alessio Tonioni, Olivier J. Hénaff

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Layerwise complexity-matched learning yields an improved model of cortical area V2.

Nikhil Parthasarathy, Olivier J. Hénaff, Eero P. Simoncelli

Trans. Mach. Learn. Res., 2024

Data curation via joint example selection further accelerates multimodal learning.

Talfan Evans, Nikhil Parthasarathy, Hamza Merzic, Olivier J. Hénaff

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds.

Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung

Proceedings of the Conference on Parsimony and Learning, 2024

2023

Self-supervised video pretraining yields robust and more human-aligned visual representations.

Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards In-context Scene Understanding.

Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelovic, Olivier J. Hénaff

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Self-supervised video pretraining yields strong image representations.

Nikhil Parthasarathy, S. M. Ali Eslami, João Carreira, Olivier J. Hénaff

CoRR, 2022

Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods.

Skanda Koppula, Yazhe Li, Evan Shelhamer, Andrew Jaegle, Nikhil Parthasarathy, Relja Arandjelovic, João Carreira, Olivier J. Hénaff

CoRR, 2022

2020

Self-Supervised Learning of a Biologically-Inspired Visual Texture Model.

Nikhil Parthasarathy, Eero P. Simoncelli

CoRR, 2020

2019

Robust Nonlinear Component Estimation with Tikhonov Regularization.

Reuben Feinman, Nikhil Parthasarathy

CoRR, 2019

2017

Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons.

Nikhil Parthasarathy, Eleanor Batty, William Falcon, Thomas Rutten, Mohit Rajpal, E. J. Chichilnisky, Liam Paninski

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017