Search Results for author: Gregory W. Wornell

Found 9 papers, 2 papers with code

What You Can Learn by Staring at a Blank Wall

no code implementations ICCV 2021 Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Fredo Durand

We present a passive non-line-of-sight method that infers the number of people or activity of a person from the observation of a blank wall in an unknown room.

Blind Modulo Analog-to-Digital Conversion

no code implementations19 Aug 2021 Amir Weiss, Everest Huang, Or Ordentlich, Gregory W. Wornell

In a growing number of applications, there is a need to digitize signals whose spectral characteristics are challenging for traditional Analog-to-Digital Converters (ADCs).

One-Bit Direct Position Determination of Narrowband Gaussian Signals

no code implementations29 Oct 2020 Amir Weiss, Gregory W. Wornell

One of the main drawbacks of the well-known Direct Position Determination (DPD) method is the requirement that raw signal data be transferred to a common processor.


On Learning Continuous Pairwise Markov Random Fields

no code implementations28 Oct 2020 Abhin Shah, Devavrat Shah, Gregory W. Wornell

We consider learning a sparse pairwise Markov Random Field (MRF) with continuous-valued variables from i. i. d samples.

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

1 code implementation NeurIPS 2019 Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Fredo Durand

We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region.

On Universal Features for High-Dimensional Learning and Inference

no code implementations20 Nov 2019 Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng

We consider the problem of identifying universal low-dimensional features from high-dimensional data for inference tasks in settings involving learning.

Collaborative Filtering

An Information Theoretic Interpretation to Deep Neural Networks

no code implementations16 May 2019 Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell

It is commonly believed that the hidden layers of deep neural networks (DNNs) attempt to extract informative features for learning tasks.

Feature Selection

Inferring Light Fields From Shadows

1 code implementation CVPR 2018 Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba

We present a method for inferring a 4D light field of a hidden scene from 2D shadows cast by a known occluder on a diffuse wall.

Turning Corners Into Cameras: Principles and Methods

no code implementations ICCV 2017 Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Fredo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman

We show that walls and other obstructions with edges can be exploited as naturally-occurring "cameras" that reveal the hidden scenes beyond them.

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