Herve Jegou
37 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (64) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Keyword Trendsetter Combo
(6)
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Triple Crown
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Topic Evolution
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Dynamic Duo
(15)
π§
Keyword Pioneer
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(168)
Top co-authors
Research topics
Machine Learning
(29)
Deep Learning
(20)
Computer Vision
(16)
Application Areas
(14)
Analysis
(12)
Core Methods
(11)
Architectures
(10)
Artificial Intelligence
(8)
Core AI
(7)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(6)
Processing
(6)
Natural Language Processing
(5)
Learning Types Β· Machine Learning
(5)
Data Science & Analytics
(4)
Keywords
image retrieval
(7)
image classification
(6)
vision transformer
(5)
convolutional neural network
(3)
semantic segmentation
(3)
similarity search
(3)
knowledge distillation
(3)
local descriptor
(3)
self-supervised learning
(3)
neural network
(3)
membership inference
(2)
language model
(2)
weight quantization
(2)
white-box attack
(2)
efficient computing
(2)
video retrieval
(2)
vector quantization
(2)
attention mechanism
(2)
model compression
(2)
representation learning
(2)
Papers
Neutral residues: revisiting adapters for model extension
ICML 2025
Active Image Indexing
ICLR 2023
Birth of a Transformer: A Memory Viewpoint
NeurIPS 2023
Co-Training 2L Submodels for Visual Recognition
CVPR 2023
Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models
ICML 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
ICCV 2023
DeiT III: Revenge of the ViT
ECCV 2022
Three Things Everyone Should Know about Vision Transformers
ECCV 2022
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
Going Deeper With Image Transformers
ICCV 2021
Gradient-based Adversarial Attacks against Text Transformers
EMNLP 2021
Grafit: Learning Fine-Grained Image Representations With Coarse Labels
ICCV 2021
LeViT: A Vision Transformer in ConvNet's Clothing for Faster Inference
ICCV 2021
Training data-efficient image transformers & distillation through attention
ICML 2021
Training with Quantization Noise for Extreme Model Compression
ICLR 2021
XCiT: Cross-Covariance Image Transformers
NeurIPS 2021
And the Bit Goes Down: Revisiting the Quantization of Neural Networks
ICLR 2020
Radioactive data: tracing through training
ICML 2020
Equi-normalization of Neural Networks
ICLR 2019
Fixing the train-test resolution discrepancy
NeurIPS 2019
Large Memory Layers with Product Keys
NeurIPS 2019
Spreading vectors for similarity search
ICLR 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
ICML 2019
LAMV: Learning to Align and Match Videos With Kernelized Temporal Layers
CVPR 2018
Link and Code: Fast Indexing With Graphs and Compact Regression Codes
CVPR 2018
Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion
EMNLP 2018
Low-Shot Learning With Large-Scale Diffusion
CVPR 2018
Word translation without parallel data
ICLR 2018
Efficient softmax approximation for GPUs
ICML 2017
Early Burst Detection for Memory-Efficient Image Retrieval
CVPR 2015
Action Localization with Tubelets from Motion
CVPR 2014
Triangulation Embedding and Democratic Aggregation for Image Search
CVPR 2014
Better Exploiting Motion for Better Action Recognition
CVPR 2013
Event Retrieval in Large Video Collections with Circulant Temporal Encoding
CVPR 2013
Query-Adaptive Asymmetrical Dissimilarities for Visual Object Retrieval
ICCV 2013
Stable Hyper-pooling and Query Expansion for Event Detection
ICCV 2013
To Aggregate or Not to aggregate: Selective Match Kernels for Image Search
ICCV 2013