Olivier J. Hénaff

According to our database, Olivier J. Hénaff authored at least 19 papers between 2015 and 2024.

Collaborative distances:

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

2024

Memory Consolidation Enables Long-Context Video Understanding.

Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier J. Hénaff

CoRR, 2024

2023

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

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

CoRR, 2023

Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding.

Talfan Evans, Shreya Pathak, Hamza Merzic, Jonathan Schwarz, Ryutaro Tanno, Olivier J. Hénaff

CoRR, 2023

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model.

Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata

CoRR, 2023

Three ways to improve feature alignment for open vocabulary detection.

Relja Arandjelovic, Alex Andonian, Arthur Mensch, Olivier J. Hénaff, Jean-Baptiste Alayrac, Andrew Zisserman

CoRR, 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

Hierarchical Perceiver.

João Carreira, Skanda Koppula, Daniel Zoran, Adrià Recasens, Catalin Ionescu, Olivier J. Hénaff, Evan Shelhamer, Relja Arandjelovic, Matthew M. Botvinick, Oriol Vinyals, Karen Simonyan, Andrew Zisserman, Andrew Jaegle

CoRR, 2022

Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Andrew Jaegle, Sebastian Borgeaud, Jean-Baptiste Alayrac, Carl Doersch, Catalin Ionescu, David Ding, Skanda Koppula, Daniel Zoran, Andrew Brock, Evan Shelhamer, Olivier J. Hénaff, Matthew M. Botvinick, Andrew Zisserman, Oriol Vinyals, João Carreira

Proceedings of the Tenth International Conference on Learning Representations, 2022

Object Discovery and Representation Networks.

Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer, Daniel Zoran, Andrew Jaegle, Andrew Zisserman, João Carreira, Relja Arandjelovic

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Divide and Contrast: Self-supervised Learning from Uncurated Data.

Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Efficient Visual Pretraining with Contrastive Detection.

Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Are we done with ImageNet?

Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord

CoRR, 2020

Data-Efficient Image Recognition with Contrastive Predictive Coding.

Olivier J. Hénaff

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Data-Efficient Image Recognition with Contrastive Predictive Coding.

Olivier J. Hénaff, Aravind Srinivas, Jeffrey De Fauw, Ali Razavi, Carl Doersch, S. M. Ali Eslami, Aäron van den Oord

CoRR, 2019

2016

Geodesics of learned representations.

Olivier J. Hénaff, Eero P. Simoncelli

Proceedings of the 4th International Conference on Learning Representations, 2016

2015

The local low-dimensionality of natural images.

Olivier J. Hénaff, Johannes Ballé, Neil C. Rabinowitz, Eero P. Simoncelli

Proceedings of the 3rd International Conference on Learning Representations, 2015