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07/11/2023
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
Given a set of calibrated images of a scene, we present an approach that...
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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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02/03/2023
The Learnable Typewriter: A Generative Approach to Text Line Analysis
We present a generative document-specific approach to character analysis...
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12/13/2022
MegaPose: 6D Pose Estimation of Novel Objects via Render Compare
We introduce MegaPose, a method to estimate the 6D pose of novel objects...
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06/13/2022
Learning Joint Surface Atlases
This paper describes new techniques for learning atlas-like representati...
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04/21/2022
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
Approaches for single-view reconstruction typically rely on viewpoint an...
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04/11/2022
Focal Length and Object Pose Estimation via Render and Compare
We introduce FocalPose, a neural render-and-compare method for jointly e...
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12/17/2021
Improving neural implicit surfaces geometry with patch warping
Neural implicit surfaces have become an important technique for multi-vi...
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10/29/2021
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
The goal of this work is to efficiently identify visually similar patter...
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09/03/2021
Representing Shape Collections with Alignment-Aware Linear Models
In this paper, we revisit the classical representation of 3D point cloud...
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08/18/2021
Image Collation: Matching illustrations in manuscripts
Illustrations are an essential transmission instrument. For an historian...
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04/30/2021
Deep Multi-View Stereo gone wild
Deep multi-view stereo (deep MVS) methods have been developed and extens...
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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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04/19/2021
Single-view robot pose and joint angle estimation via render compare
We introduce RoboPose, a method to estimate the joint angles and the 6D ...
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12/15/2020
docExtractor: An off-the-shelf historical document element extraction
We present docExtractor, a generic approach for extracting visual elemen...
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10/21/2020
Learning to Guide Local Feature Matches
We tackle the problem of finding accurate and robust keypoint correspond...
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08/19/2020
CosyPose: Consistent multi-view multi-object 6D pose estimation
We introduce an approach for recovering the 6D pose of multiple known ob...
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07/17/2020
Impact of base dataset design on few-shot image classification
The quality and generality of deep image features is crucially determine...
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06/23/2020
Spherical Perspective on Learning with Batch Norm
Batch Normalization (BN) is a prominent deep learning technique. In spit...
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06/19/2020
Deep Transformation-Invariant Clustering
Recent advances in image clustering typically focus on learning better d...
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04/03/2020
RANSAC-Flow: generic two-stage image alignment
This paper considers the generic problem of dense alignment between two ...
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08/27/2019
Large-Scale Historical Watermark Recognition: dataset and a new consistency-based approach
Historical watermark recognition is a highly practical, yet unsolved cha...
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08/13/2019
Learning elementary structures for 3D shape generation and matching
We propose to represent shapes as the deformation and combination of lea...
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07/06/2019
Unsupervised cycle-consistent deformation for shape matching
We propose a self-supervised approach to deep surface deformation. Given...
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06/12/2019
Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects
Most deep pose estimation methods need to be trained for specific object...
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04/23/2019
Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning
In this paper, we address the problem of visually guided rearrangement p...
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02/07/2019
Virtual Training for a Real Application: Accurate Object-Robot Relative Localization without Calibration
Localizing an object accurately with respect to a robot is a key step fo...
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12/13/2018
Vector Image Generation by Learning Parametric Layer Decomposition
Deep image generation is becoming a tool to enhance artists and designer...
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06/13/2018
Shape correspondences from learnt template-based parametrization
We present a new deep learning approach for matching deformable shapes b...
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02/15/2018
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
We introduce a method for learning to generate the surface of 3D shapes....
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07/26/2017
3D Sketching using Multi-View Deep Volumetric Prediction
Sketch-based modeling strives to bring the ease and immediacy of drawing...
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07/26/2017
What You Sketch Is What You Get: 3D Sketching using Multi-View Deep Volumetric Prediction
Sketch-based modeling strives to bring the ease and immediacy of drawing...
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09/13/2016
Crafting a multi-task CNN for viewpoint estimation
Convolutional Neural Networks (CNNs) were recently shown to provide stat...
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04/18/2016
Learning Dense Correspondence via 3D-guided Cycle Consistency
Discriminative deep learning approaches have shown impressive results fo...
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12/08/2015
Deep Exemplar 2D-3D Detection by Adapting from Real to Rendered Views
This paper presents an end-to-end convolutional neural network (CNN) for...
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06/03/2015
Understanding deep features with computer-generated imagery
We introduce an approach for analyzing the variation of features generat...
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12/22/2014