570 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Tata Institute of Fundamental ResearchIN296 papers
- Charles UniversityCZ292 papers
- Hanyang UniversityKR288 papers
- Indian Institute of Technology MadrasIN288 papers
- National Taiwan UniversityTW286 papers
- Yonsei UniversityKR284 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TorinoIT279 papers
- Sungkyunkwan UniversityKR279 papers
- Deutsches Elektronen-Synchrotron DESYDE277 papers
- Kyungpook National UniversityKR277 papers
- National Central UniversityTW273 papers
- Wayne State UniversityUS272 papers
13 papers · 1 filter
Semantic Segmentation for Urban-Scene Images
Shorya Sharma
Urban-scene Image segmentation is an important and trending topic in computer vision with wide use cases like autonomous driving [1]. Starting with the breakthrough work of Long et…
Sparse Concept Coded Tetrolet Transform for Unconstrained Odia Character Recognition
Kalyan S Dash, N B Puhan, G Panda
Feature representation in the form of spatio-spectral decomposition is one of the robust techniques adopted in automatic handwritten character recognition systems. In this regard,…
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…
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…
Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes
Sk. Arif Ahmed, Debi Prosad Dogra, Heeseung Choi +2
Typical person re-identification frameworks search for k best matches in a gallery of images that are often collected in varying conditions. The gallery may contain image sequences…
Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Computer vision has evolved in the last decade as a key technology for numerous applications replacing human supervision. In this paper, we present a survey on relevant visual surv…
Deep Convolutional Generative Adversarial Network Based Food Recognition Using Partially Labeled Data
Bappaditya Mandal, N. B. Puhan, Avijit Verma
Traditional machine learning algorithms using hand-crafted feature extraction techniques (such as local binary pattern) have limited accuracy because of high variation in images of…
Fingertip Detection and Tracking for Recognition of Air-Writing in Videos
Sohom Mukherjee, Arif Ahmed, Debi Prosad Dogra +2
Air-writing is the process of writing characters or words in free space using finger or hand movements without the aid of any hand-held device. In this work, we address the problem…
Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Optimized scene representation is an important characteristic of a framework for detecting abnormalities on live videos. One of the challenges for detecting abnormalities in live v…
Queuing Theory Guided Intelligent Traffic Scheduling through Video Analysis using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy
Accurate prediction of traffic signal duration for roadway junction is a challenging problem due to the dynamic nature of traffic flows. Though supervised learning can be used, par…
Trajectory-based Scene Understanding using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1
Appropriate modeling of a surveillance scene is essential for detection of anomalies in road traffic. Learning usual paths can provide valuable insight into road traffic conditions…
FoodNet: Recognizing Foods Using Ensemble of Deep Networks
Paritosh Pandey, Akella Deepthi, Bappaditya Mandal +1
In this work we propose a methodology for an automatic food classification system which recognizes the contents of the meal from the images of the food. We developed a multi-layere…
An Efficient Edge Detection Technique by Two Dimensional Rectangular Cellular Automata
Jahangir Mohammed, Deepak Ranjan Nayak
This paper proposes a new pattern of two dimensional cellular automata linear rules that are used for efficient edge detection of an image. Since cellular automata is inherently pa…