← Authors

Herve Jegou

37 papers · 2013–2025 · 7 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (7) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (60) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6) 🧭 Keyword Pioneer πŸƒ Academic Marathon (12) 🌟 Keyword Trendsetter Combo (5) πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ‘‘ Triple Crown 🀝 Dynamic Duo (15) πŸ’Ž Century Club (37) πŸ—ƒοΈ Keyword Collector (142) ⚑ Prolific Year (5) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

CVPR (9) ICCV (8) ICLR (6) ICML (6) NIPS (4) ECCV (2) EMNLP (2)

Top co-authors

Matthijs Douze (15) Hugo Touvron (10) Alexandre Sablayrolles (9) Armand Joulin (7) Matthieu Cord (6) Cordelia Schmid (5) Piotr Bojanowski (4) Pierre Stock (4) Benjamin Graham (4) Edouard Grave (3)

Research topics

Analysis (1)

Keywords

image classification (6) image retrieval (6) vision transformer (5) knowledge distillation (3) semantic segmentation (3) local descriptor (3) neural network (2) attention mechanism (2) membership inference (2) white-box attack (2) convolutional neural network (2) generative model (2) language model (2) image search (2) representation learning (2) video retrieval (2) self-supervised learning (2) label propagation (1) natural language processing (1) similarity search (1)

Papers

Neutral residues: revisiting adapters for model extension ICML 2025
Active Image Indexing ICLR 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models ICML 2023
Birth of a Transformer: A Memory Viewpoint NIPS 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models ICCV 2023
Co-Training 2L Submodels for Visual Recognition CVPR 2023
Three Things Everyone Should Know about Vision Transformers ECCV 2022
DeiT III: Revenge of the ViT ECCV 2022
Grafit: Learning Fine-Grained Image Representations With Coarse Labels ICCV 2021
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference ICCV 2021
XCiT: Cross-Covariance Image Transformers NIPS 2021
Training data-efficient image transformers & distillation through attention ICML 2021
Training with Quantization Noise for Extreme Model Compression ICLR 2021
Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021
Going Deeper With Image Transformers ICCV 2021
Emerging Properties in Self-Supervised Vision Transformers ICCV 2021
And the Bit Goes Down: Revisiting the Quantization of Neural Networks ICLR 2020
Radioactive data: tracing through training ICML 2020
Large Memory Layers with Product Keys NIPS 2019
Fixing the train-test resolution discrepancy NIPS 2019
Spreading vectors for similarity search ICLR 2019
Equi-normalization of Neural Networks ICLR 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference ICML 2019
Low-Shot Learning With Large-Scale Diffusion CVPR 2018
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers CVPR 2018
Word translation without parallel data ICLR 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion EMNLP 2018
Link and Code: Fast Indexing With Graphs and Compact Regression Codes CVPR 2018
Efficient softmax approximation for GPUs ICML 2017
Early Burst Detection for Memory-Efficient Image Retrieval CVPR 2015
Triangulation Embedding and Democratic Aggregation for Image Search CVPR 2014
Action Localization with Tubelets from Motion CVPR 2014
Event Retrieval in Large Video Collections with Circulant Temporal Encoding CVPR 2013
Better Exploiting Motion for Better Action Recognition CVPR 2013
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search ICCV 2013
Stable Hyper-pooling and Query Expansion for Event Detection ICCV 2013
Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval ICCV 2013