Patrick Pérez
55 papers · 2013–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (76) 🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🐣 Hot Topic Early Bird
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Conference Loyalist
(25)
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Deep Specialist
(12)
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Grand Slam
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Dynamic Duo
(20)
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Keyword Trendsetter Combo
(3)
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Topic Evolution
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
📈
Trend Setter
🔥
Unstoppable · Silver
❓
The Questioner
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Conference Pioneer
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Century Club · Silver
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Keyword Collector
(188)
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Prolific Year · Prolific
Top co-authors
Research topics
Computer Vision
(33)
Machine Learning
(33)
Deep Learning
(26)
Analysis
(26)
Learning Types · Deep Learning
(20)
Learning Types · Machine Learning
(17)
Artificial Intelligence
(14)
Core Methods
(14)
Application Areas
(12)
Core AI
(11)
Generation
(10)
Processing
(8)
Domain-Specific
(6)
Models
(6)
Optimization & Theory
(5)
Keywords
semantic segmentation
(15)
self-supervised learning
(8)
representation learning
(6)
autonomous driving
(5)
unsupervised learning
(5)
image classification
(4)
vision-language model
(4)
domain adaptation
(4)
neural network
(3)
object detection
(3)
instance segmentation
(3)
image retrieval
(3)
convolutional neural network
(3)
image generation
(3)
depth estimation
(3)
knowledge distillation
(2)
data augmentation
(2)
multi-task learning
(2)
adversarial learning
(2)
multimodal learning
(2)
Papers
CLIP's Visual Embedding Projector is a Few-shot Cornucopia
WACV 2026
Vision-Speech Models: Teaching Speech Models to Converse about Images
CVPR 2026
ToddlerDiffusion: Interactive Structured Image Generation with Cascaded Schrödinger Bridge
ICLR 2025
A Simple Recipe for Language-guided Domain Generalized Segmentation
CVPR 2024
CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation
ECCV 2024
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation
NeurIPS 2024
PointBeV: A Sparse Approach for BeV Predictions
CVPR 2024
Reliability in Semantic Segmentation: Can We Use Synthetic Data?
ECCV 2024
Three Pillars Improving Vision Foundation Model Distillation for Lidar
CVPR 2024
Winner-takes-all learners are geometry-aware conditional density estimators
ICML 2024
OCTET: Object-Aware Counterfactual Explanations
CVPR 2023
PODA: Prompt-driven Zero-shot Domain Adaptation
ICCV 2023
POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images
NeurIPS 2023
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
NeurIPS 2023
Self-supervised learning with rotation-invariant kernels
ICLR 2023
Unsupervised Object Localization: Observing the Background To Discover Objects
CVPR 2023
Active Learning Strategies for Weakly-Supervised Object Detection
ECCV 2022
Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation
ECCV 2022
HULC: 3D HUman Motion Capture with Pose Manifold SampLing and Dense Contact Guidance
ECCV 2022
LaRa: Latents and Rays for Multi-Camera Bird’s-Eye-View Semantic Segmentation
CoRL 2022
Raw High-Definition Radar for Multi-Task Learning
CVPR 2022
STEEX: Steering Counterfactual Explanations with Semantics
ECCV 2022
Artificial Dummies for Urban Dataset Augmentation
AAAI 2021
Large-Scale Unsupervised Object Discovery
NeurIPS 2021
Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation
ICCV 2021
Multi-View Radar Semantic Segmentation
ICCV 2021
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning
CVPR 2021
Semantic Palette: Guiding Scene Generation With Class Proportions
CVPR 2021
Learning Representations by Predicting Bags of Visual Words
CVPR 2020
QuEST: Quantized Embedding Space for Transferring Knowledge
ECCV 2020
StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images
CVPR 2020
The Missing Data Encoder: Cross-Channel Image Completion with Hide-and-Seek Adversarial Network
AAAI 2020
Toward Unsupervised, Multi-Object Discovery in Large-Scale Image Collections
ECCV 2020
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
CVPR 2020
Addressing Failure Prediction by Learning Model Confidence
NeurIPS 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
CVPR 2019
A Flexible Convolutional Solver for Fast Style Transfers
CVPR 2019
Boosting Few-Shot Visual Learning With Self-Supervision
ICCV 2019
DADA: Depth-Aware Domain Adaptation in Semantic Segmentation
ICCV 2019
FML: Face Model Learning From Videos
CVPR 2019
SoDeep: A Sorting Deep Net to Learn Ranking Loss Surrogates
CVPR 2019
Unsupervised Image Matching and Object Discovery as Optimization
CVPR 2019
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving
ICCV 2019
Zero-Shot Semantic Segmentation
NeurIPS 2019
Finding Beans in Burgers: Deep Semantic-Visual Embedding With Localization
CVPR 2018
Learning a Complete Image Indexing Pipeline
CVPR 2018
Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz
CVPR 2018
Kernel Square-Loss Exemplar Machines for Image Retrieval
CVPR 2017
MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
ICCV 2017
ROAM: A Rich Object Appearance Model With Application to Rotoscoping
CVPR 2017
SUBIC: A Supervised, Structured Binary Code for Image Search
ICCV 2017
Determining Occlusions From Space and Time Image Reconstructions
CVPR 2016
Exemplar SVMs as Visual Feature Encoders
CVPR 2015
Automatic Face Reenactment
CVPR 2014
Multi-view Object Segmentation in Space and Time
ICCV 2013