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

1.9k citations · 3.4k across the 51 of their papers we have counts for

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Showing 2019 · cs.CVShow all

9 papers · 2 filters

cs.CV2019

PSNet: Parametric Sigmoid Norm Based CNN for Face Recognition

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey

The Convolutional Neural Networks (CNN) have become very popular recently due to its outstanding performance in various computer vision applications. It is also used over widely st…

cs.CV2019★ 5 cited

Visual Question Answering using Deep Learning: A Survey and Performance Analysis

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey +1

The Visual Question Answering (VQA) task combines challenges for processing data with both Visual and Linguistic processing, to answer basic `common sense' questions about given im…

cs.CV2019

Hard-Mining Loss based Convolutional Neural Network for Face Recognition

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey

Face Recognition is one of the prominent problems in the computer vision domain. Witnessing advances in deep learning, significant work has been observed in face recognition, which…

cs.CV2019

Spontaneous Facial Micro-Expression Recognition using 3D Spatiotemporal Convolutional Neural Networks

Sai Prasanna Teja Reddy, Surya Teja Karri, Shiv Ram Dubey +1

Facial expression recognition in videos is an active area of research in computer vision. However, fake facial expressions are difficult to be recognized even by humans. On the oth…

cs.CV2019★ 1.9k cited

HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification

Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey +1

Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional Neural Net…

cs.CV2019★ 581 cited

Impact of Fully Connected Layers on Performance of Convolutional Neural Networks for Image Classification

S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari +1

The Convolutional Neural Networks (CNNs), in domains like computer vision, mostly reduced the need for handcrafted features due to its ability to learn the problem-specific feature…

cs.CV2019★ 12 cited

CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation

Kishan Babu Kancharagunta, Shiv Ram Dubey

The primary motivation of Image-to-Image Transformation is to convert an image of one domain to another domain. Most of the research has been focused on the task of image transform…

cs.CV2019★ 25 cited

A Performance Comparison of Loss Functions for Deep Face Recognition

Yash Srivastava, Vaishnav Murali, Shiv Ram Dubey

Face recognition is one of the most widely publicized feature in the devices today and hence represents an important problem that should be studied with the utmost priority. As per…

cs.CV2019★ 26 cited

LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks

Swalpa Kumar Roy, Suvojit Manna, Shiv Ram Dubey +1

The activation function in neural network introduces the non-linearity required to deal with the complex tasks. Several activation/non-linearity functions are developed for deep le…