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09/06/2023
Sparse 3D Reconstruction via Object-Centric Ray Sampling
We propose a novel method for 3D object reconstruction from a sparse set...
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06/10/2023
Fast light-field 3D microscopy with out-of-distribution detection and adaptation through Conditional Normalizing Flows
Real-time 3D fluorescence microscopy is crucial for the spatiotemporal a...
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06/06/2023
Learn the Force We Can: Multi-Object Video Generation from Pixel-Level Interactions
We propose a novel unsupervised method to autoregressively generate vide...
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03/02/2023
A Meta-Learning Approach to Predicting Performance and Data Requirements
We propose an approach to estimate the number of samples required for a ...
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11/30/2022
Spatio-Temporal Crop Aggregation for Video Representation Learning
We propose Spatio-temporal Crop Aggregation for video representation LEa...
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11/26/2022
Randomized Conditional Flow Matching for Video Prediction
We introduce a novel generative model for video prediction based on late...
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10/14/2022
MOVE: Unsupervised Movable Object Segmentation and Detection
We introduce MOVE, a novel method to segment objects without any form of...
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09/19/2022
U-Sleep: resilient to AASM guidelines
AASM guidelines are the results of decades of efforts to try to standard...
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08/11/2022
Semi-supervised Vision Transformers at Scale
We study semi-supervised learning (SSL) for vision transformers (ViT), a...
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07/27/2022
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning
In this work we introduce a novel meta-learning method for sleep scoring...
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07/05/2022
Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring
Study Objectives: Inter-scorer variability in scoring polysomnograms is ...
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04/13/2022
Controllable Video Generation through Global and Local Motion Dynamics
We present GLASS, a method for Global and Local Action-driven Sequence S...
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04/10/2022
DILEMMA: Self-Supervised Shape and Texture Learning with Transformers
There is a growing belief that deep neural networks with a shape bias ma...
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12/14/2021
Learning to Deblur and Rotate Motion-Blurred Faces
We propose a solution to the novel task of rendering sharp videos from n...
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08/24/2021
DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates
Deep learning is widely used in the most recent automatic sleep scoring ...
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07/13/2021
Generative Adversarial Learning via Kernel Density Discrimination
We introduce Kernel Density Discrimination GAN (KDD GAN), a novel method...
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07/07/2021
KaFiStO: A Kalman Filtering Framework for Stochastic Optimization
Optimization is often cast as a deterministic problem, where the solutio...
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06/18/2021
A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention
We propose a novel GAN training scheme that can handle any level of labe...
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04/02/2021
Optical Flow Dataset Synthesis from Unpaired Images
The estimation of optical flow is an ambiguous task due to the lack of c...
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12/16/2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Recently, contrastive learning has achieved great results in self-superv...
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10/13/2020
Self-Supervised Multi-View Synchronization Learning for 3D Pose Estimation
Current state-of-the-art methods cast monocular 3D human pose estimation...
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09/16/2020
Boosting Generalization in Bio-Signal Classification by Learning the Phase-Amplitude Coupling
Various hand-crafted features representations of bio-signals rely primar...
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07/21/2020
Video Representation Learning by Recognizing Temporal Transformations
We introduce a novel self-supervised learning approach to learn represen...
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05/18/2020
Learning to Model and Calibrate Optics via a Differentiable Wave Optics Simulator
We present a novel learning-based method to build a differentiable compu...
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04/05/2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
We introduce a novel principle for self-supervised feature learning base...
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03/24/2020
Learning to Reconstruct Confocal Microscopy Stacks from Single Light Field Images
We present a novel deep learning approach to reconstruct confocal micros...
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10/01/2019
Unsupervised Generative 3D Shape Learning from Natural Images
In this paper we present, to the best of our knowledge, the first method...
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09/27/2019
Learning to Have an Ear for Face Super-Resolution
We propose a novel method to perform extreme (16x) face super-resolution...
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06/11/2019
On Stabilizing Generative Adversarial Training with Noise
We present a novel method and analysis to train generative adversarial n...
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05/29/2019
Emergence of Object Segmentation in Perturbed Generative Models
We introduce a novel framework to build a model that can learn how to se...
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03/15/2019
Smart, Deep Copy-Paste
In this work, we propose a novel system for smart copy-paste, enabling t...
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12/05/2018
Video Synthesis from a Single Image and Motion Stroke
In this paper, we propose a new method to automatically generate a video...
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11/26/2018
Unsupervised 3D Shape Learning from Image Collections in the Wild
We present a method to learn the 3D surface of objects directly from a c...
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09/05/2018
Deep Bilevel Learning
We present a novel regularization approach to train neural networks that...
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06/13/2018
Self-Supervised Feature Learning by Learning to Spot Artifacts
We introduce a novel self-supervised learning method based on adversaria...
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05/01/2018
Boosting Self-Supervised Learning via Knowledge Transfer
In self-supervised learning, one trains a model to solve a so-called pre...
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04/24/2018
FaceShop: Deep Sketch-based Face Image Editing
We present a novel system for sketch-based face image editing, enabling ...
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04/11/2018
Learning to Extract a Video Sequence from a Single Motion-Blurred Image
We present a method to extract a video sequence from a single motion-blu...
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03/08/2018
Motion deblurring of faces
Face analysis is a core part of computer vision, in which remarkable pro...
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11/20/2017
Disentangling Factors of Variation by Mixing Them
We propose an unsupervised approach to learn image representations that ...
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11/07/2017
Challenges in Disentangling Independent Factors of Variation
We study the problem of building models that disentangle independent fac...
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09/12/2017
Deep Mean-Shift Priors for Image Restoration
In this paper we introduce a natural image prior that directly represent...
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08/22/2017
Reflection Separation and Deblurring of Plenoptic Images
In this paper, we address the problem of reflection removal and deblurri...
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08/22/2017
Representation Learning by Learning to Count
We introduce a novel method for representation learning that uses an art...
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01/05/2017
Motion Deblurring in the Wild
The task of image deblurring is a very ill-posed problem as both the ima...
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03/30/2016
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
In this paper we study the problem of image representation learning with...
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11/30/2014
A Clearer Picture of Blind Deconvolution
Blind deconvolution is the problem of recovering a sharp image and a blu...
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08/16/2014