113 citations · 275 across the 16 of their papers we have counts for
17 papers
CLAP Convolutional Lightweight Autoencoder for Plant Disease Classification
Asish Bera, Subhajit Roy, Sudiptendu Banerjee
Convolutional neural networks have remarkably progressed the performance of distinguishing plant diseases, severity grading, and nutrition deficiency prediction using leaf images.…
Women Sport Actions Dataset for Visual Classification Using Small Scale Training Data
Palash Ray, Mahuya Sasmal, Asish Bera
Sports action classification representing complex body postures and player-object interactions is an emerging area in image-based sports analysis. Some works have contributed to au…
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network
Asish Bera, Debotosh Bhattacharjee, Ondrej Krejcar
Crop yield production could be enhanced for agricultural growth if various plant nutrition deficiencies, and diseases are identified and detected at early stages. The deep learning…
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition
Asish Bera, Ondrej Krejcar, Debotosh Bhattacharjee
Deep Convolutional Neural Networks (CNNs) have facilitated remarkable success in recognizing various food items and agricultural stress. A decent performance boost has been witness…
Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection
Asish Bera, Debotosh Bhattacharjee, Hubert P H Shum
This paper presents a human verification scheme in two independent stages to overcome the vulnerabilities of attacks and to enhance security. At the first stage, a hand image-based…
Human Identification using Selected Features from Finger Geometric Profiles
Asish Bera, Debotosh Bhattacharjee
A finger biometric system at an unconstrained environment is presented in this paper. A technique for hand image normalization is implemented at the preprocessing stage that decomp…
Fusion Based Hand Geometry Recognition Using Dempster-Shafer Theory
Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
This paper presents a new technique for person recognition based on the fusion of hand geometric features of both the hands without any pose restrictions. All the features are extr…
Hand Biometrics in Digital Forensics
Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Digital forensic is now an unavoidable part for securing the digital world from identity theft. Higher order of crimes, dealing with a massive database is really very challenging p…
Finger Biometric Recognition With Feature Selection
Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Biometrics is indispensable in this modern digital era for secure automated human authentication in various fields of machine learning and pattern recognition. Hand geometry is a p…
Deep Ear Biometrics for Gender Classification
Ritwiz Singh, Keshav Kashyap, Rajesh Mukherjee +2
Human gender classification based on biometric features is a major concern for computer vision due to its vast variety of applications. The human ear is popular among researchers a…
Deep Neural Networks Fused with Textures for Image Classification
Asish Bera, Debotosh Bhattacharjee, Mita Nasipuri
Fine-grained image classification (FGIC) is a challenging task in computer vision for due to small visual differences among inter-subcategories, but, large intra-class variations.…
Fine-Grained Sports, Yoga, and Dance Postures Recognition: A Benchmark Analysis
Asish Bera, Mita Nasipuri, Ondrej Krejcar +1
Human body-pose estimation is a complex problem in computer vision. Recent research interests have been widened specifically on the Sports, Yoga, and Dance (SYD) postures for maint…
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization
Asish Bera, Zachary Wharton, Yonghuai Liu +2
Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such…
Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition
Asish Bera, Zachary Wharton, Yonghuai Liu +2
This paper presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distin…
An attention-driven hierarchical multi-scale representation for visual recognition
Zachary Wharton, Ardhendu Behera, Asish Bera
Convolutional Neural Networks (CNNs) have revolutionized the understanding of visual content. This is mainly due to their ability to break down an image into smaller pieces, extrac…
Spoofing Detection on Hand Images Using Quality Assessment
Asish Bera, Ratnadeep Dey, Debotosh Bhattacharjee +2
Recent research on biometrics focuses on achieving a high success rate of authentication and addressing the concern of various spoofing attacks. Although hand geometry recognition…
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
Ardhendu Behera, Zachary Wharton, Pradeep Hewage +1
Deep convolutional neural networks (CNNs) have shown a strong ability in mining discriminative object pose and parts information for image recognition. For fine-grained recognition…