6 citations · 16 across the 6 of their papers we have counts for
6 papers
Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
Chetan Ralekar, Shubham Choudhary, Tapan Kumar Gandhi +1
Human observers engage in selective information uptake when classifying visual patterns. The same is true of deep neural networks, which currently constitute the best performing ar…
Efficient Video Summarization Framework using EEG and Eye-tracking Signals
Sai Sukruth Bezugam, Swatilekha Majumdar, Chetan Ralekar +1
This paper proposes an efficient video summarization framework that will give a gist of the entire video in a few key-frames or video skims. Existing video summarization frameworks…
Performance comparison of 3D correspondence grouping algorithm for 3D plant point clouds
Shiva Azimi, Tapan K. Gandhi
Plant Phenomics can be used to monitor the health and the growth of plants. Computer vision applications like stereo reconstruction, image retrieval, object tracking, and object re…
Performance Evalution of 3D Keypoint Detectors and Descriptors for Plants Health Classification
Shiva Azimi, Brejesh lall, Tapan K. Gandhi
Plant Phenomics based on imaging based techniques can be used to monitor the health and the diseases of plants and crops. The use of 3D data for plant phenomics is a recent phenome…
Tumor Classification and Segmentation of MR Brain Images
Tanvi Gupta, Pranay Manocha, Tapan K. Gandhi +2
The diagnosis and segmentation of tumors using any medical diagnostic tool can be challenging due to the varying nature of this pathology. Magnetic Reso- nance Imaging (MRI) is an…
Automated Tumor Segmentation and Brain Mapping for the Tumor Area
Pranay Manocha, Snehal Bhasme, Tanvi Gupta +2
Magnetic Resonance Imaging (MRI) is an important diagnostic tool for precise detection of various pathologies. Magnetic Resonance (MR) is more preferred than Computed Tomography (C…