Search Results for author: Lokesh Boominathan

Found 4 papers, 1 papers with code

Phase transitions in when feedback is useful

no code implementations15 Oct 2021 Lokesh Boominathan, Xaq Pitkow

We formulate this inference problem as message-passing on a graph whereby feedback serves as an internal control signal aiming to maximize how well an inference tracks a target state while minimizing the costs of computation.

Phase retrieval for Fourier Ptychography under varying amount of measurements

no code implementations9 May 2018 Lokesh Boominathan, Mayug Maniparambil, Honey Gupta, Rahul Baburajan, Kaushik Mitra

For the low overlap case we show that a supervised deep learning technique using an autoencoder generator is a good choice for solving the Fourier ptychography problem.

Compensating for Large In-Plane Rotations in Natural Images

no code implementations17 Nov 2016 Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu

This is inspired by the neuro-scientific concept of mental rotation, which humans use to compare pairs of rotated objects.

Image Retrieval

CrowdNet: A Deep Convolutional Network for Dense Crowd Counting

2 code implementations22 Aug 2016 Lokesh Boominathan, Srinivas S. S. Kruthiventi, R. Venkatesh Babu

Our work proposes a novel deep learning framework for estimating crowd density from static images of highly dense crowds.

Crowd Counting Data Augmentation

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