581 citations · 806 across the 16 of their papers we have counts for
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RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification
S H Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu +3
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis. It would facilita…
A Multi-Face Challenging Dataset for Robust Face Recognition
Shiv Ram Dubey, Snehasis Mukherjee
Face recognition in images is an active area of interest among the computer vision researchers. However, recognizing human face in an unconstrained environment, is a relatively les…
Single Image Dehazing Based on Generic Regularity
Kushal Borkar, Snehasis Mukherjee
This paper proposes a novel technique for single image dehazing. Most of the state-of-the-art methods for single image dehazing relies either on Dark Channel Prior (DCP) or on Colo…
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation
Ravi Kumar Thakur, Snehasis Mukherjee
Estimating scene flow in RGB-D videos is attracting much interest of the computer vision researchers, due to its potential applications in robotics. The state-of-the-art techniques…
Human Activity Recognition in RGB-D Videos by Dynamic Images
Snehasis Mukherjee, Leburu Anvitha, T. Mohana Lahari
Human Activity Recognition in RGB-D videos has been an active research topic during the last decade. However, no efforts have been found in the literature, for recognizing human ac…
Automatic Assessment of Artistic Quality of Photos
Ashish Verma, Kranthi Koukuntla, Rohit Varma +1
This paper proposes a technique to assess the aesthetic quality of photographs. The goal of the study is to predict whether a given photograph is captured by professional photograp…
LDOP: Local Directional Order Pattern for Robust Face Retrieval
Shiv Ram Dubey, Snehasis Mukherjee
The local descriptors have gained wide range of attention due to their enhanced discriminative abilities. It has been proved that the consideration of multi-scale local neighborhoo…