Matthijs Douze
25 papers · 2013–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (50) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Grand Slam
π
Triple Crown
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(4)
π§
Keyword Pioneer
π€
Dynamic Duo
(15)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(115)
Top co-authors
Research topics
Machine Learning
(24)
Deep Learning
(13)
Application Areas
(11)
Core Methods
(11)
Computer Vision
(8)
Architectures
(8)
Computer Science
(5)
Applications
(5)
Learning Types
(5)
Processing
(5)
Artificial Intelligence
(4)
Core AI
(4)
Optimization & Theory
(4)
Natural Language Processing
(3)
Analysis
(3)
Keywords
similarity search
(4)
vector quantization
(4)
nearest neighbor search
(4)
image retrieval
(4)
neural network
(3)
membership inference
(3)
image classification
(3)
neural codebook
(2)
representation learning
(2)
unsupervised learning
(2)
vision transformer
(2)
convolutional neural network
(2)
video retrieval
(2)
residual quantization
(2)
self-supervised learning
(2)
image watermarking
(2)
attention mechanism
(2)
information retrieval
(2)
label propagation
(1)
semantic segmentation
(1)
Papers
MagicPIG: LSH Sampling for Efficient LLM Generation
ICLR 2025
Qinco2: Vector Compression and Search with Improved Implicit Neural Codebooks
ICLR 2025
Watermark Anything With Localized Messages
ICLR 2025
Residual Quantization with Implicit Neural Codebooks
ICML 2024
Watermarking Makes Language Models Radioactive
NeurIPS 2024
Active Image Indexing
ICLR 2023
DEDRIFT: Robust Similarity Search under Content Drift
ICCV 2023
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
ICCV 2023
A Self-Supervised Descriptor for Image Copy Detection
CVPR 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
Training data-efficient image transformers & distillation through attention
ICML 2021
XCiT: Cross-Covariance Image Transformers
NeurIPS 2021
Radioactive data: tracing through training
ICML 2020
Analysis of Joint Multilingual Sentence Representations and Semantic K-Nearest Neighbor Graphs
AAAI 2019
Fixing the train-test resolution discrepancy
NeurIPS 2019
Spreading vectors for similarity search
ICLR 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
ICML 2019
Deep Clustering for Unsupervised Learning of Visual Features
ECCV 2018
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
Low-Shot Learning With Large-Scale Diffusion
CVPR 2018
Local Convolutional Features With Unsupervised Training for Image Retrieval
ICCV 2015
Event Retrieval in Large Video Collections with Circulant Temporal Encoding
CVPR 2013
Stable Hyper-pooling and Query Expansion for Event Detection
ICCV 2013