output
20122023
most citedHybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

1.9k citations

Showing 2018Show all

6 papers · 1 filter

eess.SP2018★ 2 cited

Feature Analysis for Classification of Physical Actions using surface EMG Data

Anish C. Turlapaty, Balakrishna Gokaraju

Based on recent health statistics, there are several thousands of people with limb disability and gait disorders that require a medical assistance. A robot assisted rehabilitation…

cs.CV2018★ 58 cited

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…

cs.CR2018★ 1 cited

Enhanced Session Initiation Protocols for Emergency Healthcare Applications

Saha Sourav, Vanga Odelu, Rajendra Prasath

In medical emergencies, an instant and secure messaging is an important service to provide quality healthcare services. A session initiation protocol (SIP) is an IP-based multimedi…

cs.CV2018★ 6 cited

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…

cs.CV2018★ 56 cited

Average Biased ReLU Based CNN Descriptor for Improved Face Retrieval

Shiv Ram Dubey, Soumendu Chakraborty

The convolutional neural networks (CNN), including AlexNet, GoogleNet, VGGNet, etc. extract features for many computer vision problems which are very discriminative. The trained CN…

cs.CV2018★ 33 cited

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…