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07/14/2023
Linking vision and motion for self-supervised object-centric perception
Object-centric representations enable autonomous driving algorithms to r...
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08/12/2021
Reimagining an autonomous vehicle
The self driving challenge in 2021 is this century's technological equiv...
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04/21/2021
FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras
Driving requires interacting with road agents and predicting their futur...
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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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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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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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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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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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11/10/2015
TemplateNet for Depth-Based Object Instance Recognition
We present a novel deep architecture termed templateNet for depth based ...
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11/09/2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
We present a deep learning framework for probabilistic pixel-wise semant...
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11/05/2015
Symmetry-invariant optimization in deep networks
Recent works have highlighted scale invariance or symmetry that is prese...
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11/03/2015
Understanding symmetries in deep networks
Recent works have highlighted scale invariance or symmetry present in th...
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11/02/2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
We present a novel and practical deep fully convolutional neural network...
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05/27/2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
We propose a novel deep architecture, SegNet, for semantic pixel wise im...
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05/01/2015
