55 results on '"Mairal, Julien"'
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2. Enhancing Contrastive Learning With Positive Pair Mining for Few-Shot Hyperspectral Image Classification
3. deep PACO: Combining statistical models with deep learning for exoplanet detection and characterization in direct imaging at high contrast
4. Combining Multi-Spectral Data With Statistical and Deep-Learning Models for Improved Exoplanet Detection in Direct Imaging at High Contrast
5. Fully Trainable and Interpretable Non-local Sparse Models for Image Restoration
6. Selecting Relevant Features from a Multi-domain Representation for Few-Shot Classification
7. SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization
8. Semi-supervised learning made simple with self-supervised clustering
9. Learning Reward Functions for Robotic Manipulation by Observing Humans
10. SUnAA: Sparse Unmixing Using Archetypal Analysis
11. Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing
12. Modeling Visual Context Is Key to Augmenting Object Detection Datasets
13. Exoplanet detection in angular differential imaging: combining a statistics-based learning with a deep-based learning for improved detections
14. Self Supervised Learning for Few Shot Hyperspectral Image Classification
15. High dynamic range and super-resolution from raw image bursts
16. Self-Supervised Models are Continual Learners
17. Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts
18. Emerging Properties in Self-Supervised Vision Transformers
19. NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
20. On the Importance of Visual Context for Data Augmentation in Scene Understanding
21. Extracting representations of cognition across neuroimaging studies improves brain decoding
22. Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
23. Unsupervised Pre-Training of Image Features on Non-Curated Data
24. Diversity With Cooperation: Ensemble Methods for Few-Shot Classification
25. Biological sequence modeling with convolutional kernel networks
26. Sparse Representation for Computer Vision and Pattern Recognition
27. An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration
28. Sparse Representation for Color Image Restoration (PREPRINT)
29. Loter: A Software Package to Infer Local Ancestry for a Wide Range of Species
30. Stochastic Subsampling for Factorizing Huge Matrices
31. Biological Sequence Modeling with Convolutional Kernel Networks
32. Loter: A software package to infer local ancestry for a wide range of species
33. BlitzNet: A Real-Time Deep Network for Scene Understanding
34. DOLPHIn—Dictionary Learning for Phase Retrieval
35. Convolutional Patch Representations for Image Retrieval: An Unsupervised Approach
36. Dictionary learning from phaseless measurements
37. Local Convolutional Features with Unsupervised Training for Image Retrieval
38. A convex formulation for joint RNA isoform detection and quantification from multiple RNA-seq samples
39. Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
40. Mixing Body-Part Sequences for Human Pose Estimation
41. Fast and Robust Archetypal Analysis for Representation Learning
42. Efficient RNA isoform identification and quantification from RNA-Seq data with network flows
43. Sparse Modeling for Image and Vision Processing
44. Sparse Modeling for Image and Vision Processing
45. Structured Sparsity through Convex Optimization
46. Learning hierarchical and topographic dictionaries with structured sparsity
47. Sparse image representation with epitomes
48. Sparse Representation for Computer Vision and Pattern Recognition
49. Non-local sparse models for image restoration
50. Online dictionary learning for sparse coding
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