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04/20/2022
An Empirical Study on the Relationship Between the Number of Coordinated Views and Visual Analysis
Coordinated Multiple views (CMVs) are a visualization technique that sim...
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07/31/2021
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems
All learning algorithms for recommendations face inevitable and critical...
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01/29/2021
Neural 3D Clothes Retargeting from a Single Image
In this paper, we present a method of clothes retargeting; generating th...
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08/20/2020
DeepGMR: Learning Latent Gaussian Mixture Models for Registration
Point cloud registration is a fundamental problem in 3D computer vision,...
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05/14/2020
Bi3D: Stereo Depth Estimation via Binary Classifications
Stereo-based depth estimation is a cornerstone of computer vision, with ...
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04/02/2020
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera
This paper presents a new method to synthesize an image from arbitrary v...
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04/01/2020
Two-shot Spatially-varying BRDF and Shape Estimation
Capturing the shape and spatially-varying appearance (SVBRDF) of an obje...
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03/13/2020
Self-supervised Single-view 3D Reconstruction via Semantic Consistency
We learn a self-supervised, single-view 3D reconstruction model that pre...
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11/29/2019
STGRAT: A Spatio-Temporal Graph Attention Network for Traffic Forecasting
Predicting the road traffic speed is a challenging task due to different...
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03/13/2019
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Affordance modeling plays an important role in visual understanding. In ...
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01/12/2019
NRMVS: Non-Rigid Multi-View Stereo
Scene reconstruction from unorganized RGB images is an important task in...
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01/09/2019
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Depth sensing is crucial for 3D reconstruction and scene understanding. ...
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01/08/2019
Neural Inverse Rendering of an Indoor Scene from a Single Image
Inverse rendering aims to estimate physical scene attributes (e.g., refl...
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12/10/2018
PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image
This paper proposes a deep neural architecture, PlaneRCNN, that detects ...
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08/06/2018
EOE: Expected Overlap Estimation over Unstructured Point Cloud Data
We present an iterative overlap estimation technique to augment existing...
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07/06/2018
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures
Point cloud registration sits at the core of many important and challeng...
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05/24/2018
Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
We address the unsupervised learning of several interconnected problems ...
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04/12/2018
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation
Estimation of 3D motion in a dynamic scene from a temporal pair of image...
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12/09/2017
MapNet: Geometry-Aware Learning of Maps for Camera Localization
Maps are a key component in image-based camera localization and visual S...
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10/05/2017
Multiframe Scene Flow with Piecewise Rigid Motion
We introduce a novel multiframe scene flow approach that jointly optimiz...
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08/04/2017
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting
We introduce a novel method to obtain high-quality 3D reconstructions fr...
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05/19/2017