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03/23/2020
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
We present an end-to-end 3D reconstruction method for a scene by directl...
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03/19/2020
Depth Estimation by Learning Triangulation and Densification of Sparse Points for Multi-view Stereo
Multi-view stereo (MVS) is the golden mean between the accuracy of activ...
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03/18/2020
MagicEyes: A Large Scale Eye Gaze Estimation Dataset for Mixed Reality
With the emergence of Virtual and Mixed Reality (XR) devices, eye tracki...
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03/16/2020
Scan2Plan: Efficient Floorplan Generation from 3D Scans of Indoor Scenes
We introduce Scan2Plan, a novel approach for accurate estimation of a fl...
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11/26/2019
SuperGlue: Learning Feature Matching with Graph Neural Networks
This paper introduces SuperGlue, a neural network that matches two sets ...
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09/12/2019
Efficient 2.5D Hand Pose Estimation via Auxiliary Multi-Task Training for Embedded Devices
2D Key-point estimation is an important precursor to 3D pose estimation ...
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08/24/2019
EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding
Eye gaze estimation and simultaneous semantic understanding of a user th...
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04/25/2019
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
We present DeepPerimeter, a deep learning based pipeline for inferring a...
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12/08/2018
Self-Improving Visual Odometry
We propose a self-supervised learning framework that uses unlabeled mono...
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06/21/2018
Gradient Adversarial Training of Neural Networks
We propose gradient adversarial training, an auxiliary deep learning fra...
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04/08/2018
Estimating Depth from RGB and Sparse Sensing
We present a deep model that can accurately produce dense depth maps giv...
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12/20/2017
SuperPoint: Self-Supervised Interest Point Detection and Description
This paper presents a self-supervised framework for training interest po...
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11/07/2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Deep multitask networks, in which one neural network produces multiple p...
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07/24/2017
Toward Geometric Deep SLAM
We present a point tracking system powered by two deep convolutional neu...
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03/18/2017
RoomNet: End-to-End Room Layout Estimation
This paper focuses on the task of room layout estimation from a monocula...
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11/30/2016
Deep Cuboid Detection: Beyond 2D Bounding Boxes
We present a Deep Cuboid Detector which takes a consumer-quality RGB ima...
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06/13/2016
Deep Image Homography Estimation
We present a deep convolutional neural network for estimating the relati...
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06/15/2015
ParseNet: Looking Wider to See Better
We present a technique for adding global context to deep convolutional n...
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03/05/2015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
We present a novel method for aligning a sequence of instructions to a v...
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12/20/2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Current state-of-the-art deep learning systems for visual object recogni...
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12/20/2014
Self-informed neural network structure learning
We study the problem of large scale, multi-label visual recognition with...
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09/17/2014
Going Deeper with Convolutions
We propose a deep convolutional neural network architecture codenamed "I...
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12/19/2013