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20172020
most citedHMM-based Indic Handwritten Word Recognition using Zone Segmentation

114 citations · 249 across the 10 of their papers we have counts for

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31 papers · 1 filter

cs.CV2020

UDBNET: Unsupervised Document Binarization Network via Adversarial Game

Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury +2

Degraded document image binarization is one of the most challenging tasks in the domain of document image analysis. In this paper, we present a novel approach towards document imag…

cs.CV2020

Modeling Extent-of-Texture Information for Ground Terrain Recognition

Shuvozit Ghose, Pinaki Nath Chowdhury, Partha Pratim Roy +1

Ground Terrain Recognition is a difficult task as the context information varies significantly over the regions of a ground terrain image. In this paper, we propose a novel approac…

cs.CV2020

Understanding Crowd Flow Movements Using Active-Langevin Model

Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1

Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, devel…

cs.CV2019

Estimation of Linear Motion in Dense Crowd Videos using Langevin Model

Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1

Crowd gatherings at social and cultural events are increasing in leaps and bounds with the increase in population. Surveillance through computer vision and expert decision making s…

cs.CV2019

Can We Automate Diagrammatic Reasoning?

Sk. Arif Ahmed, Debi Prosad Dogra, Samarjit Kar +2

Learning to solve diagrammatic reasoning (DR) can be a challenging but interesting problem to the computer vision research community. It is believed that next generation pattern re…

cs.CV201917 cited

Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory

Sauradip Nag, Ayan Kumar Bhunia, Aishik Konwer +1

Facial micro-expressions are sudden involuntary minute muscle movements which reveal true emotions that people try to conceal. Spotting a micro-expression and recognizing it is a m…