Search Results for author: Ulas Ayaz

Found 2 papers, 2 papers with code

Invertibility of Convolutional Generative Networks from Partial Measurements

1 code implementation NeurIPS 2018 Fangchang Ma, Ulas Ayaz, Sertac Karaman

In this work, we present new theoretical results on convolutional generative neural networks, in particular their invertibility (i. e., the recovery of input latent code given the network output).

Image Inpainting

Sparse Depth Sensing for Resource-Constrained Robots

1 code implementation4 Mar 2017 Fangchang Ma, Luca Carlone, Ulas Ayaz, Sertac Karaman

We address the following question: is it possible to reconstruct the geometry of an unknown environment using sparse and incomplete depth measurements?

Compressive Sensing Depth Estimation +1

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