David Picard
14 papers · 2013–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🧬 Topic Evolution
🗃️
Keyword Collector
(64)
🔥
Unstoppable · Bronze
🚀
Conference Pioneer
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Computer Vision
(5)
Deep Learning
(4)
Analysis
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Artificial Intelligence
(3)
Models
(3)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Mathematics & Optimization
(1)
Generation
(1)
Learning Paradigms
(1)
Optimization
(1)
Keywords
class-incremental learning
(2)
riemannian manifold
(2)
latent space
(2)
human pose estimation
(2)
catastrophic forgetting
(2)
image generation
(2)
diffusion model
(2)
generative adversarial network
(2)
action recognition
(1)
self-supervised learning
(1)
multi-task learning
(1)
conditional generation
(1)
embedding learning
(1)
image retrieval
(1)
metric learning
(1)
importance sampling
(1)
deep learning
(1)
anomaly detection
(1)
3d pose estimation
(1)
flow matching
(1)
Papers
Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation
CVPR 2025
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning
WACV 2024
Don't Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion
CVPR 2024
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning
WACV 2023
H3WB: Human3.6M 3D WholeBody Dataset and Benchmark
ICCV 2023
Unveiling the Latent Space Geometry of Push-Forward Generative Models
ICML 2023
Latent Reweighting, an Almost Free Improvement for GANs
WACV 2022
SCAM! Transferring Humans between Images with Semantic Cross Attention Modulation
ECCV 2022
Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation
ICCV 2021
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings
ICCV 2019
2D/3D Pose Estimation and Action Recognition Using Multitask Deep Learning
CVPR 2018
Image Reassembly Combining Deep Learning and Shortest Path Problem
ECCV 2018
Covariance Descriptors for 3D Shape Matching and Retrieval
CVPR 2014
JKernelMachines: A Simple Framework for Kernel Machines
JMLR 2013