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D-Index & Metrics

Computer Science

D-Index
44
Citations
4404
World Ranking
7723
National Ranking
83

Research.com Recognitions

  • Fellow of the Indian National Academy of Engineering (INAE)
  • Fellow of the Indian National Academy of Engineering (INAE)

Overview

C. Krishna Mohan is a researcher affiliated with the Indian Institute of Technology Hyderabad in India. Their primary fields of study are Computer Science and Engineering, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Geophysics, Automotive Engineering, and Safety, Risk, Reliability and Quality.

The scientist's work spans multiple key topics including Advanced Neural Network Applications, Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Multimodal Machine Learning Applications, Human Pose and Action Recognition, Autonomous Vehicle Technology and Safety, and Video Surveillance and Tracking Methods.

Recent papers authored or co-authored by C. Krishna Mohan include:

  • Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios, 2023, IEEE Robotics and Automation Letters
  • mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions, 2022, Pattern Recognition
  • The Impact of Adversarial Attacks on Federated Learning: A Survey, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Residual spatiotemporal autoencoder for unsupervised video anomaly detection, 2020, Signal Image and Video Processing
  • Application of a new machine learning model to improve earthquake ground motion predictions, 2023, Natural Hazards

C. Krishna Mohan has published multiple works in venues such as arXiv (Cornell University), Pattern Recognition, IEEE Transactions on Image Processing, IEEE Robotics and Automation Letters, and IEEE Transactions on Intelligent Transportation Systems.

Frequent co-authors associated with their research include Chalavadi Vishnu, Linga Reddy Cenkeramaddi, Seyedsina Nabavirazavi, Yashas Hariprasad, and Prasad HB.

The scientist has contributed to book publications with Springer International Publishing and Springer Vienna, including titles such as Data Management, Analytics and Innovation (2022) and Artificial Intelligence in Practice (2025).

Recognition for their work includes being named a Fellow of the Indian National Academy of Engineering (INAE).

Best Publications

  • Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder

    Unknown

  • Human action recognition using genetic algorithms and convolutional neural networks

    Unknown

  • Human action recognition in RGB-D videos using motion sequence information and deep learning

    Unknown

  • ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks

    Rajat Saini;Nandan Kumar Jha;Bedanta Das;Sparsh Mittal

  • Automatic detection of bike-riders without helmet using surveillance videos in real-time

    Kunal Dahiya;Dinesh Singh;C. Krishna Mohan

  • Detection of motorcyclists without helmet in videos using convolutional neural network

    C. Vishnu;Dinesh Singh;C. Krishna Mohan;Sobhan Babu

  • Graph formulation of video activities for abnormal activity recognition

    Dinesh Singh;C. Krishna Mohan

  • Residual spatiotemporal autoencoder for unsupervised video anomaly detection

    K. Deepak;S. Chandrakala;C. Krishna Mohan

  • Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM

    Debaditya Roy;Tetsuhiro Ishizaka;C. Krishna Mohan;Atsushi Fukuda

  • Spontaneous Expression Recognition Using Universal Attribute Model

    Unknown

  • Content based medical image retrieval using dictionary learning

    M. Srinivas;R. Ramu Naidu;C.S. Sastry;C. Krishna Mohan

  • Hybrid deep neural network model for human action recognition

    Unknown

  • Human Fall Detection in Surveillance Videos Using Fall Motion Vector Modeling

    Chalavadi Vishnu;Rajeshreddy Datla;Debaditya Roy;Sobhan Babu

  • M-FFN: multi-scale feature fusion network for image captioning

    Unknown

  • Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks

    Debaditya Roy;Tetsuhiro Ishizaka;C. Krishna Mohan;Atsushi Fukuda

  • Unsupervised Universal Attribute Modeling for Action Recognition

    Unknown

  • Classification of human actions using pose-based features and stacked auto encoder

    Unknown

  • A Robust Airport Runway Detection Network Based on R-CNN Using Remote Sensing Images

    Rasna A. Amit;C. Krishna Mohan

  • Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device

    Dinesh Singh;C. Vishnu;C. Krishna Mohan

  • Feature selection using Deep Neural Networks

    Debaditya Roy;K. Sri Rama Murty;C. Krishna Mohan

  • Black-box Adversarial Attacks in Autonomous Vehicle Technology

    K. Naveen Kumar;C. Vishnu;Reshmi Mitra;C. Krishna Mohan

  • Illumination invariant face recognition using convolutional neural networks

    N. Pattabhi Ramaiah;Earnest Paul Ijjina;C. Krishna Mohan

  • Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks

    Debaditya Roy;C. Krishna Mohan;K. Sri Rama Murty

  • Learning sparse dictionaries for music and speech classification

    M. Srinivas;Debaditya Roy;C. Krishna Mohan

  • Multi-level classification: A generic classification method for medical datasets

    M Srinivas;R Bharath;P Rajalakshmi;C Krishna Mohan

  • Spontaneous Facial Expression Recognition: A Part Based Approach

    Nazil Perveen;Dinesh Singh;C. Krishna Mohan

  • Classification of sport videos using edge-based features and autoassociative neural network models

    C. Krishna Mohan;B. Yegnanarayana

  • Combining multiple evidence for video classification

    S. Vakkalanka;C. Krishna Mohan;R. Kumaraswamy;B. Yegnanarayana

Frequent Co-Authors

B. Yegnanarayana
B. Yegnanarayana International Institute of Information Technology, Hyderabad

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