Publications and Patents

Managing Noise in labels for Machine Vision at low computational cost

Bijan Sayyarrodsari, Rakesh Chowdary, Kadir Liano

Patent filed

An unsupervised depth-based technique integrated with gradient calculation for reducing noise in industry operator annotations

MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding

Bowen Liu, Rakesh Chowdary Machineni, Yu Chen, Shiyu Liu, Hun Seok Kim

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Proposed a novel multi-mode block-based video compression techniques that can acheive high compression ratios.

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End-to-end deep learning-based fringe projection framework for 3D profiling of objects

Rakesh Chowdary Machineni, G. E. Spoorthi, Krishna Sumanth V, Subrahmanyam G, Rama Krishna S.S.G

Comput. Vis. Image Underst Journal. 199: 103023 (2020)

Developed a end-to-end deep learning model to profile the 3D shape of objects from structured light images.

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