C. Krishna Mohan

According to our database, C. Krishna Mohan authored at least 103 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The Impact of Adversarial Attacks on Federated Learning: A Survey.

Kummari Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Monte Carlo DropBlock for modeling uncertainty in object detection.

Sai Harsha Yelleni, Deepshikha Kumari, Srijith P. K, Krishna Mohan C

Pattern Recognit., February, 2024

FAGH: Accelerating Federated Learning with Approximated Global Hessian.

Mrinmay Sen, A. Kai Qin, Krishna Mohan C

CoRR, 2024

Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO.

Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

High Precision Single Shot Object Detection in Automotive Scenarios.

Soumya A, C. Krishna Mohan, Linga Reddy Cenkeramaddi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review.

Soumya A, C. Krishna Mohan, Linga Reddy Cenkeramaddi

Sensors, November, 2023

Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios".

Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu

IEEE Robotics Autom. Lett., November, 2023

Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios.

Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu

IEEE Robotics Autom. Lett., May, 2023

Incorporating attentive multi-scale context information for image captioning.

Jeripothula Prudviraj, Sravani Yenduri, C. Krishna Mohan

Multim. Tools Appl., March, 2023

EVAA - Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles.

Chalavadi Vishnu, Jayesh Khandelwal, C. Krishna Mohan, Linga Reddy Cenkeramaddi

IEEE Trans. Geosci. Remote. Sens., 2023

Deformable and Structural Representative Network for Remote Sensing Image Captioning.

Jaya Sharm, Peketi Divya, Chalavadi Vishnu, Linga Reddy Cenkeramaddi, B. H. Sekhar, C. Krishna Mohan

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images.

Rasna A. Amit, C. Krishna Mohan

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

FONN: Federated Optimization with Nys-Newton.

C. Nagaraju, Mrinmay Sen, C. Krishna Mohan

Proceedings of the IEEE Region 10 Conference, 2023

Federated Optimization with Linear-Time Approximated Hessian Diagonal.

Mrinmay Sen, C. Krishna Mohan, A. Kai Qin

Proceedings of the Pattern Recognition and Machine Intelligence, 2023

MADG: Margin-based Adversarial Learning for Domain Generalization.

Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images.

G. Swetha, Rajeshreddy Datla, Chalavadi Vishnu, Krishna Mohan C

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Handling Data Heterogeneity in Federated Learning with Global Data Distribution.

C. Nagaraju, Mrinmay Sen, C. Krishna Mohan

Proceedings of the 3rd International Conference on Image Processing and Vision Engineering, 2023

FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation.

Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen-Wei Chen

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-Target Classification Using Deep Learning Models for Automotive Applications.

Soumya A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, Yash Vinod Lanjewar, Krishna Mohan C

Proceedings of the 11th International Conference on Control, Mechatronics and Automation, 2023

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction.

Mrinmay Sen, C. Krishna Mohan, A. Kai Qin

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

NOAH: Newton Method of Optimization with Approximated Hessian.

Mrinmay Sen, C. Krishna Mohan

Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal.

Mrinmay Sen, C. Krishna Mohan

Proceedings of the Big Data and Artificial Intelligence - 11th International Conference, 2023

2022

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

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

IEEE Trans. Intell. Transp. Syst., 2022

AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description.

Jeripothula Prudviraj, Malipatel Indrakaran Reddy, Chalavadi Vishnu, Chalavadi Krishna Mohan

IEEE Trans. Image Process., 2022

Fine-grained action recognition using dynamic kernels.

Sravani Yenduri, Nazil Perveen, Vishnu Chalavadi, Krishna Mohan C

Pattern Recognit., 2022

mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions.

Vishnu Chalavadi, Jeripothula Prudviraj, Rajeshreddy Datla, Ch. Sobhan Babu, Krishna Mohan C

Pattern Recognit., 2022

ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing.

Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R. Sai Chandra Teja, Gajanan H. Chavhan, C. Krishna Mohan, Sparsh Mittal

J. Syst. Archit., 2022

ACLNet: An Attention and Clustering-based Cloud Segmentation Network.

Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan

CoRR, 2022

WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects.

Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan

Comput. Ind., 2022

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

Jeripothula Prudviraj, Chalavadi Vishnu, Chalavadi Krishna Mohan

Appl. Intell., 2022

Fine-grained Action Recognition using Attribute Vectors.

Sravani Yenduri, Nazil Perveen, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Aircraft Type Recognition in Remote Sensing Images using Mean Interval Kernel.

Jaya Sharma, Rajeshreddy Datla, Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022

STIP-GCN: Space-time interest points graph convolutional network for action recognition.

Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the International Joint Conference on Neural Networks, 2022

Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study.

K. Naveen Kumar, Digvijay S. Pawar, C. Krishna Mohan

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021

Residual spatiotemporal autoencoder for unsupervised video anomaly detection.

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

Signal Image Video Process., 2021

A novel framework for seamless mosaic of Cartosat-1 DEM scenes.

Rajeshreddy Datla, C. Krishna Mohan

Comput. Geosci., 2021

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection.

Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan

CoRR, 2021

Attentive Contextual Network for Image Captioning.

Jeripothula Prudviraj, Chalavadi Vishnu, C. Krishna Mohan

Proceedings of the International Joint Conference on Neural Networks, 2021

Scene Classification in Remote Sensing Images using Dynamic Kernels.

Rajeshreddy Datla, Vishnu Chalavadi, Krishna Mohan C

Proceedings of the International Joint Conference on Neural Networks, 2021

A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images.

Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images.

Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan

Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack.

Bhargav Achary Dandpati Kumar, R. Sai Chandra Teja, Sparsh Mittal, Biswabandan Panda, C. Krishna Mohan

Proceedings of the AIMLSystems 2021: The First International Conference on AI-ML-Systems, Bangalore India, October 21, 2021

2020

Echocardiogram Analysis Using Motion Profile Modeling.

Inayathullah Ghori, Debaditya Roy, Renu John, Chalavadi Krishna Mohan

IEEE Trans. Medical Imaging, 2020

Facial Expression Recognition in Videos Using Dynamic Kernels.

Nazil Perveen, Debaditya Roy, Chalavadi Krishna Mohan

IEEE Trans. Image Process., 2020

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

Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels.

Nazil Perveen, Chalavadi Krishna Mohan, Yen-Wei Chen

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Configural Representation of Facial Action Units for Spontaneous Facial Expression Recognition in the Wild.

Nazil Perveen, Chalavadi Krishna Mohan

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

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

Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Defining Traffic States using Spatio-temporal Traffic Graphs.

Debaditya Roy, K. Naveen Kumar, C. Krishna Mohan

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis.

Nazil Perveen, Chalavadi Krishna Mohan, Yen-Wei Chen

Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

Black-box Adversarial Attacks in Autonomous Vehicle Technology.

K. Naveen Kumar, Chalavadi Vishnu, Reshmi Mitra, C. Krishna Mohan

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019

Unsupervised Universal Attribute Modeling for Action Recognition.

Debaditya Roy, Kodukula Sri Rama Murty, Chalavadi Krishna Mohan

IEEE Trans. Multim., 2019

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

Dinesh Singh, Chalavadi Krishna Mohan

IEEE Trans. Intell. Transp. Syst., 2019

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

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

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

An Information Bottleneck Approach to Optimize the Dictionary of Visual Data.

Shyju Wilson, C. Krishna Mohan

IEEE Trans. Multim., 2018

Spontaneous Expression Recognition Using Universal Attribute Model.

Nazil Perveen, Debaditya Roy, Chalavadi Krishna Mohan

IEEE Trans. Image Process., 2018

Snatch theft detection in unconstrained surveillance videos using action attribute modelling.

Debaditya Roy, C. Krishna Mohan

Pattern Recognit. Lett., 2018

Tracking rapid body deformation using sparse representation of deep features.

Debaditya Roy, Gaddam Sreedatta Sanjay Bharath, Mani Kumar T., C. Krishna Mohan

Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

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

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

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fast-BoW: Scaling Bag-of-Visual-Words Generation.

Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, C. Krishna Mohan

Proceedings of the British Machine Vision Conference 2018, 2018

Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning.

Dinesh Singh, C. Krishna Mohan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data.

Dinesh Singh, Debaditya Roy, C. Krishna Mohan

IEEE Trans. Big Data, 2017

Coherent and Noncoherent Dictionaries for Action Recognition.

Shyju Wilson, C. Krishna Mohan

IEEE Signal Process. Lett., 2017

Graph formulation of video activities for abnormal activity recognition.

Dinesh Singh, C. Krishna Mohan

Pattern Recognit., 2017

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

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Pattern Recognit., 2017

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

Chalavadi Vishnu, Dinesh Singh, C. Krishna Mohan, Ch. Sobhan Babu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Action-vectors: Unsupervised movement modeling for action recognition.

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

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

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

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Pattern Recognit. Lett., 2016

Sparsity-inducing dictionaries for effective action classification.

Debaditya Roy, M. Srinivas, C. Krishna Mohan

Pattern Recognit., 2016

Human action recognition using genetic algorithms and convolutional neural networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Pattern Recognit., 2016

Hybrid deep neural network model for human action recognition.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Appl. Soft Comput., 2016

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

Kunal Dahiya, Dinesh Singh, C. Krishna Mohan

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visual Big Data Analytics for Traffic Monitoring in Smart City.

Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Spontaneous Facial Expression Recognition: A Part Based Approach.

Nazil Perveen, Dinesh Singh, C. Krishna Mohan

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Discriminative feature extraction from X-ray images using deep convolutional neural networks.

M. Srinivas, Debaditya Roy, C. Krishna Mohan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Classification of medical images using edge-based features and sparse representation.

M. Srinivas, C. Krishna Mohan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Palmprint Recognition Based on Minutiae Quadruplets.

A. Tirupathi Rao, N. Pattabhi Ramaiah, C. Krishna Mohan

Proceedings of International Conference on Computer Vision and Image Processing, 2016

Distributed quadratic programming solver for kernel SVM using genetic algorithm.

Dinesh Singh, C. Krishna Mohan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Content based medical image retrieval using dictionary learning.

M. Srinivas, R. Ramu Naidu, Challa S. Sastry, C. Krishna Mohan

Neurocomputing, 2015

Sparsifying Dense Features for Action Classification.

Debaditya Roy, M. Srinivas, C. Krishna Mohan

Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Sparseland model for speckle suppression of B-mode ultrasound images.

M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan

Proceedings of the Twenty First National Conference on Communications, 2015

Feature selection using Deep Neural Networks.

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

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity.

A. Tirupathi Rao, N. Pattabhi Ramaiah, V. Raghavendra Reddy, C. Krishna Mohan

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Human action recognition based on motion capture information using fuzzy convolution neural networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

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

M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan

Proceedings of the 17th International Conference on E-health Networking, 2015

Sparsity-based Iris Classification using Iris Fiber Structures.

Nalla Pattabhi Ramaiah, Nalla Srilatha, Chalavadi Krishna Mohan

Proceedings of the BIOSIG 2015, 2015

2014

Music genre classification using On-line Dictionary Learning.

M. Srinivas, Debaditya Roy, C. Krishna Mohan

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

One-Shot Periodic Activity Recognition Using Convolutional Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Dictionary based action video classification with action bank.

Shyju Wilson, M. Srinivas, C. Krishna Mohan

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Learning sparse dictionaries for music and speech classification.

M. Srinivas, Debaditya Roy, C. Krishna Mohan

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Medical images modality classification using multi-scale dictionary learning.

M. Srinivas, C. Krishna Mohan

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Enhancements to latent fingerprints in forensic applications.

N. Pattabhi Ramaiah, A. Tirupathi Rao, C. Krishna Mohan

Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Human Action Recognition Using Action Bank Features and Convolutional Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks.

Earnest Paul Ijjina, Chalavadi Krishna Mohan

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2011

De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation.

N. Pattabhi Ramaiah, C. Krishna Mohan

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

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

C. Krishna Mohan, B. Yegnanarayana

Signal Image Video Process., 2010

Efficient clustering approach using incremental and hierarchical clustering methods.

M. Srinivas, C. Krishna Mohan

Proceedings of the International Joint Conference on Neural Networks, 2010

2008

Video Shot Segmentation Using Late Fusion Technique.

C. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

Edge-based Sports Video Classification using HMM.

C. Krishna Mohan, B. Yegnanarayana

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

2004

Content-Based Video Classification Using Support Vector Machines.

Vakkalanka Suresh, C. Krishna Mohan, R. Kumaraswamy, B. Yegnanarayana

Proceedings of the Neural Information Processing, 11th International Conference, 2004