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20172023
most citedAnomaly Detection in Road Traffic Using Visual Surveillance: A Survey

158 citations · 1k across the 37 of their papers we have counts for

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Showing 2018Show all

23 papers · 1 filter

cs.CV2018★ 11 cited

Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE

Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1

Classifying time series data using neural networks is a challenging problem when the length of the data varies. Video object trajectories, which are key to many of the visual surve…

cs.IR2018★ 3 cited

Movie Recommendation System using Sentiment Analysis from Microblogging Data

Sudhanshu Kumar, Shirsendu Sukanta Halder, Kanjar De +1

Recommendation systems are important intelligent systems that play a vital role in providing selective information to users. Traditional approaches in recommendation systems includ…

cs.CV2018

Perceptual Conditional Generative Adversarial Networks for End-to-End Image Colourization

Shirsendu Sukanta Halder, Kanjar De, Partha Pratim Roy

Colours are everywhere. They embody a significant part of human visual perception. In this paper, we explore the paradigm of hallucinating colours from a given gray-scale image. Th…

cs.CV2018★ 12 cited

IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Network

Soumya Shubhra Ghosh, Yang Hua, Sankha Subhra Mukherjee +1

Despite the breakthroughs in quality of image enhancement, an end-to-end solution for simultaneous recovery of the finer texture details and sharpness for degraded images with low…

cs.CV2018★ 12 cited

Texture Synthesis Guided Deep Hashing for Texture Image Retrieval

Ayan Kumar Bhunia, Perla Sai Raj Kishore, Pranay Mukherjee +2

With the large-scale explosion of images and videos over the internet, efficient hashing methods have been developed to facilitate memory and time efficient retrieval of similar im…

cs.CV2018

Handwriting Recognition in Low-resource Scripts using Adversarial Learning

Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia +2

Handwritten Word Recognition and Spotting is a challenging field dealing with handwritten text possessing irregular and complex shapes. The design of deep neural network models mak…