activity
20162024
most citedSigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

179 citations · 958 across the 53 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

cs.CV2020★ 16 cited

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Andrey Ignatov, Radu Timofte, Zhilu Zhang +36

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…

cs.CV2020

Position and Rotation Invariant Sign Language Recognition from 3D Kinect Data with Recurrent Neural Networks

Prasun Roy, Saumik Bhattacharya, Partha Pratim Roy +1

Sign language is a gesture-based symbolic communication medium among speech and hearing impaired people. It also serves as a communication bridge between non-impaired and impaired…

cs.CV2020★ 12 cited

Self-Supervised Representation Learning for Detection of ACL Tear Injury in Knee MR Videos

Siladittya Manna, Saumik Bhattacharya, Umapada Pal

The success of deep learning based models for computer vision applications requires large scale human annotated data which are often expensive to generate. Self-supervised learning…

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★ 3 cited

A New Unified Method for Detecting Text from Marathon Runners and Sports Players in Video

Sauradip Nag, Palaiahnakote Shivakumara, Umapada Pal +2

Detecting text located on the torsos of marathon runners and sports players in video is a challenging issue due to poor quality and adverse effects caused by flexible/colorful clot…

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…