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02/22/2022
Retrieval Augmented Classification for Long-Tail Visual Recognition
We introduce Retrieval Augmented Classification (RAC), a generic approac...
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03/01/2021
DF-VO: What Should Be Learnt for Visual Odometry?
Multi-view geometry-based methods dominate the last few decades in monoc...
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11/07/2019
Improved Visual Localization via Graph Smoothing
Vision based localization is the problem of inferring the pose of the ca...
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05/16/2019
Non-Parametric Priors For Generative Adversarial Networks
The advent of generative adversarial networks (GAN) has enabled new capa...
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03/01/2019
Self-supervised Learning for Single View Depth and Surface Normal Estimation
In this work we present a self-supervised learning framework to simultan...
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11/29/2018
Optimizable Object Reconstruction from a Single View
3D shape reconstruction from a single image is a highly ill-posed proble...
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05/11/2018
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors
We present "just-in-time reconstruction" as real-time image-guided inpai...
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03/11/2018
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction
Despite learning based methods showing promising results in single view ...
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11/16/2017
Learning Deeply Supervised Visual Descriptors for Dense Monocular Reconstruction
Visual SLAM (Simultaneous Localization and Mapping) methods typically re...
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07/17/2017
Non-Linear Subspace Clustering with Learned Low-Rank Kernels
In this paper, we present a kernel subspace clustering method that can h...
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09/06/2016
A Bootstrap Machine Learning Approach to Identify Rare Disease Patients from Electronic Health Records
Rare diseases are very difficult to identify among large number of other...
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03/16/2016
Non-linear Dimensionality Regularizer for Solving Inverse Problems
Consider an ill-posed inverse problem of estimating causal factors from ...
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03/16/2016