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08/03/2023
Revisiting Deformable Convolution for Depth Completion
Depth completion, which aims to generate high-quality dense depth maps f...
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07/24/2023
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
Self-supervised learning of visual representations has been focusing on ...
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06/21/2023
Combining multi-spectral data with statistical and deep-learning models for improved exoplanet detection in direct imaging at high contrast
Exoplanet detection by direct imaging is a difficult task: the faint sig...
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04/12/2023
An Image Quality Assessment Dataset for Portraits
Year after year, the demand for ever-better smartphone photos continues ...
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03/22/2023
Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach
Improvements in Earth observation by satellites allow for imagery of eve...
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11/25/2022
WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction
This paper presents WALDO (WArping Layer-Decomposed Objects), a novel ap...
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11/21/2022
A minimum swept-volume metric structure for configuration space
Borrowing elementary ideas from solid mechanics and differential geometr...
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11/16/2022
Learning Reward Functions for Robotic Manipulation by Observing Humans
Observing a human demonstrator manipulate objects provides a rich, scala...
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10/04/2022
VICRegL: Self-Supervised Learning of Local Visual Features
Most recent self-supervised methods for learning image representations f...
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07/29/2022
High Dynamic Range and Super-Resolution from Raw Image Bursts
Photographs captured by smartphones and mid-range cameras have limited s...
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07/25/2022
Active Learning Strategies for Weakly-supervised Object Detection
Object detectors trained with weak annotations are affordable alternativ...
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04/20/2022
Assembly Planning from Observations under Physical Constraints
This paper addresses the problem of copying an unknown assembly of primi...
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09/29/2021
Localizing Objects with Self-Supervised Transformers and no Labels
Localizing objects in image collections without supervision can help to ...
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07/16/2021
CCVS: Context-aware Controllable Video Synthesis
This presentation introduces a self-supervised learning approach to the ...
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06/15/2021
Residual Reinforcement Learning from Demonstrations
Residual reinforcement learning (RL) has been proposed as a way to solve...
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06/12/2021
Large-Scale Unsupervised Object Discovery
Existing approaches to unsupervised object discovery (UOD) do not scale ...
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06/07/2021
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Gi...
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05/11/2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning
Recent self-supervised methods for image representation learning are bas...
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04/29/2021
Unsupervised Layered Image Decomposition into Object Prototypes
We present an unsupervised learning framework for decomposing images int...
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04/13/2021
Learning to Jointly Deblur, Demosaick and Denoise Raw Images
We address the problem of non-blind deblurring and demosaicking of noisy...
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04/13/2021
Aliasing is your Ally: End-to-End Super-Resolution from Raw Image Bursts
This presentation addresses the problem of reconstructing a high-resolut...
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07/21/2020
Learning to Compose Hypercolumns for Visual Correspondence
Feature representation plays a crucial role in visual correspondence, an...
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07/06/2020
Toward unsupervised, multi-object discovery in large-scale image collections
This paper addresses the problem of discovering the objects present in a...
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07/03/2020
End-to-end Interpretable Learning of Non-blind Image Deblurring
Non-blind image deblurring is typically formulated as a linear least-squ...
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06/26/2020
Designing and Learning Trainable Priors with Non-Cooperative Games
We introduce a general framework for designing and learning neural netwo...
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06/16/2020
Structured and Localized Image Restoration
We present a novel approach to image restoration that leverages ideas fr...
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12/05/2019
Revisiting Non Local Sparse Models for Image Restoration
We propose a differentiable algorithm for image restoration inspired by ...
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11/29/2019
Learning Semantic Correspondence Exploiting an Object-level Prior
We address the problem of semantic correspondence, that is, establishing...
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10/17/2019
Deformable Kernel Networks for Joint Image Filtering
Joint image filters are used to transfer structural details from a guida...
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08/28/2019
SPair-71k: A Large-scale Benchmark for Semantic Correspondence
Establishing visual correspondences under large intra-class variations, ...
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08/18/2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features
Establishing visual correspondences under large intra-class variations r...
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04/05/2019
Unsupervised Image Matching and Object Discovery as Optimization
Learning with complete or partial supervision is powerful but relies on ...
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04/03/2019
SFNet: Learning Object-aware Semantic Correspondence
We address the problem of semantic correspondence, that is, establishing...
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03/27/2019
Deformable kernel networks for guided depth map upsampling
We address the problem of upsampling a low-resolution (LR) depth map usi...
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08/08/2018
On the Solvability of Viewing Graphs
A set of fundamental matrices relating pairs of cameras in some configur...
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05/11/2017
SCNet: Learning Semantic Correspondence
This paper addresses the problem of establishing semantic correspondence...
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03/21/2017
Proposal Flow: Semantic Correspondences from Object Proposals
Finding image correspondences remains a challenging problem in the prese...
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12/04/2016
General models for rational cameras and the case of two-slit projections
The rational camera model recently introduced in [19] provides a general...
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08/21/2016
Congruences and Concurrent Lines in Multi-View Geometry
We present a new framework for multi-view geometry in computer vision. A...
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03/02/2015
Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal
In this paper, we address the problem of estimating and removing non-uni...
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01/25/2015
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
This paper addresses unsupervised discovery and localization of dominant...
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11/12/2014
Sparse Modeling for Image and Vision Processing
In recent years, a large amount of multi-disciplinary research has been ...
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07/04/2014
Weakly Supervised Action Labeling in Videos Under Ordering Constraints
We are given a set of video clips, each one annotated with an ordered l...
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10/13/2011
Sparse Image Representation with Epitomes
Sparse coding, which is the decomposition of a vector using only a few b...
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10/05/2011
Dictionary Learning for Deblurring and Digital Zoom
This paper proposes a novel approach to image deblurring and digital zoo...
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09/27/2010
Task-Driven Dictionary Learning
Modeling data with linear combinations of a few elements from a learned ...
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09/18/2008