Herve Jegou
37 papers · 2013–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (12) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (6)
🐝
Cross-Pollinator
(6)
🧭
Keyword Pioneer
🏃
Academic Marathon
(12)
🌟
Keyword Trendsetter Combo
(5)
🏆
Keyword Champion
(2)
🧬
Topic Evolution
👑
Triple Crown
🤝
Dynamic Duo
(15)
💎
Century Club
(37)
🗃️
Keyword Collector
(142)
⚡
Prolific Year
(5)
🔥
Unstoppable
(7)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
CVPR (9)
ICCV (8)
ICLR (6)
ICML (6)
NIPS (4)
ECCV (2)
EMNLP (2)
Top co-authors
Research topics
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