output
20062026
most citedGW170817: Observation of Gravitational Waves from a Binary Neutron Star Inspiral

9.8k citations

Showing 2017 · cs.CVShow all

6 papers · 2 filters

cs.CV2017★ 6 cited

Towards Structured Analysis of Broadcast Badminton Videos

Anurag Ghosh, Suriya Singh, C. V. Jawahar

Sports video data is recorded for nearly every major tournament but remains archived and inaccessible to large scale data mining and analytics. It can only be viewed sequentially o…

cs.CV2017★ 10 cited

Unconstrained Scene Text and Video Text Recognition for Arabic Script

Mohit Jain, Minesh Mathew, C. V. Jawahar

Building robust recognizers for Arabic has always been challenging. We demonstrate the effectiveness of an end-to-end trainable CNN-RNN hybrid architecture in recognizing Arabic te…

cs.CV2017

An EEG-based Image Annotation System

Viral Parekh, Ramanathan Subramanian, Dipanjan Roy +1

The success of deep learning in computer vision has greatly increased the need for annotated image datasets. We propose an EEG (Electroencephalogram)-based image annotation system.…

cs.CV2017★ 1 cited

Optical Character Recognition (OCR) for Telugu: Database, Algorithm and Application

Chandra Prakash Konkimalla, Manikanta Srikar Yellapragada, Trishal Gayam +2

Telugu is a Dravidian language spoken by more than 80 million people worldwide. The optical character recognition (OCR) of the Telugu script has wide ranging applications including…

cs.CV2017★ 3.3k cited

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Aditya Chattopadhyay, Anirban Sarkar, Prantik Howlader +1

Over the last decade, Convolutional Neural Network (CNN) models have been highly successful in solving complex vision problems. However, these deep models are perceived as "black b…

cs.CV2017★ 9 cited

Automated Top View Registration of Broadcast Football Videos

Rahul Anand Sharma, Bharath Bhat, Vineet Gandhi +1

In this paper, we propose a novel method to register football broadcast video frames on the static top view model of the playing surface. The proposed method is fully automatic in…