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 show that there is a non-monotonic dependence of optimal feedback gain as a function of both the computational parameters and the world dynamics, leading to phase transitions in whether feedback provides any utility in optimal inference under computational constraints.

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.

Retrieval

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.

Bayesian Optimization Image Retrieval +1

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

Cannot find the paper you are looking for? You can Submit a new open access paper.