Olivier J Hénaff
Olivier J Hénaff
Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Data-efficient image recognition with contrastive predictive coding
OJ Hénaff, A Srinivas, J De Fauw, A Razavi, C Doersch, SMA Eslami, ...
International Conference on Machine Learning, 4182-4192, 2020
Perceiver io: A general architecture for structured inputs & outputs
A Jaegle, S Borgeaud, JB Alayrac, C Doersch, C Ionescu, D Ding, ...
arXiv preprint arXiv:2107.14795, 2021
Are we done with imagenet?
L Beyer, OJ Hénaff, A Kolesnikov, X Zhai, A Oord
arXiv preprint arXiv:2006.07159, 2020
Efficient visual pretraining with contrastive detection
OJ Hénaff, S Koppula, JB Alayrac, A Van den Oord, O Vinyals, J Carreira
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Perceptual straightening of natural videos
OJ Hénaff, RLT Goris, EP Simoncelli
Nature neuroscience 22 (6), 984-991, 2019
Divide and contrast: Self-supervised learning from uncurated data
Y Tian, OJ Henaff, A Van den Oord
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Object discovery and representation networks
OJ Hénaff, S Koppula, E Shelhamer, D Zoran, A Jaegle, A Zisserman, ...
European conference on computer vision, 123-143, 2022
Geodesics of learned representations
OJ Hénaff, EP Simoncelli
International Conference on Learning Representations (ICLR) 2016, 2015
Representation of visual uncertainty through neural gain variability
OJ Hénaff, ZM Boundy-Singer, K Meding, CM Ziemba, RLT Goris
Nature communications 11 (1), 2513, 2020
Primary visual cortex straightens natural video trajectories
OJ Hénaff, Y Bai, JA Charlton, I Nauhaus, EP Simoncelli, RLT Goris
Nature communications 12 (1), 5982, 2021
Towards in-context scene understanding
I Balazevic, D Steiner, N Parthasarathy, R Arandjelović, O Henaff
Advances in Neural Information Processing Systems 36, 2024
Self-supervised video pretraining yields robust and more human-aligned visual representations
N Parthasarathy, SM Eslami, J Carreira, O Henaff
Advances in Neural Information Processing Systems 36, 65743-65765, 2023
The local low-dimensionality of natural images
OJ Hénaff, J Ballé, NC Rabinowitz, EP Simoncelli
International Conference on Learning Representations (ICLR) 2015, 2014
Three ways to improve feature alignment for open vocabulary detection
R Arandjelović, A Andonian, A Mensch, OJ Hénaff, JB Alayrac, ...
arXiv preprint arXiv:2303.13518, 2023
Where should i spend my flops? efficiency evaluations of visual pre-training methods
S Koppula, Y Li, E Shelhamer, A Jaegle, N Parthasarathy, R Arandjelovic, ...
arXiv preprint arXiv:2209.15589, 2022
Memory Consolidation Enables Long-Context Video Understanding
I Balažević, Y Shi, P Papalampidi, R Chaabouni, S Koppula, OJ Hénaff
arXiv preprint arXiv:2402.05861, 2024
HiP: Hierarchical Perceiver
J Carreira, S Koppula, D Zoran, A Recasens, C Ionescu, O Henaff, ...
arXiv preprint arXiv:2202.10890, 2022
Bad students make great teachers: Active learning accelerates large-scale visual understanding
T Evans, S Pathak, H Merzic, J Schwarz, R Tanno, OJ Henaff
arXiv preprint arXiv:2312.05328, 2023
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
K Roth, L Thede, AS Koepke, O Vinyals, O Hénaff, Z Akata
arXiv preprint arXiv:2310.17653, 2023
Testing a mechanism for temporal prediction in perceptual, neural, and machine representations
OJ Hénaff
New York University, 2018
The system can't perform the operation now. Try again later.
Articles 1–20