Content-Based Video Classification Using Support Vector Machines. - Vakkalanka Suresh; C. Krishna Mohan; R. Kumaraswamy 001; B. Yegnanarayana 001 (ICONIP, 2004)

Edge-based Sports Video Classification using HMM. - C. Krishna Mohan; B. Yegnanarayana 001 (IICAI, 2007)

Video Shot Segmentation Using Late Fusion Technique. - C. Krishna Mohan; N. Dhananjaya; B. Yegnanarayana 001 (ICMLA, 2008)

Efficient clustering approach using incremental and hierarchical clustering methods. - M. Srinivas; C. Krishna Mohan (IJCNN, 2010)

Classification of sport videos using edge-based features and autoassociative neural network models. - C. Krishna Mohan; B. Yegnanarayana 001 (Signal Image Video Process., 2010)

De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation. - N. Pattabhi Ramaiah; C. Krishna Mohan (ICMLA (1), 2011)

View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ACCV Workshops (1), 2014)

Human Action Recognition Using Action Bank Features and Convolutional Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ACCV Workshops (1), 2014)

Enhancements to latent fingerprints in forensic applications. - N. Pattabhi Ramaiah; A. Tirupathi Rao; C. Krishna Mohan (DSP, 2014)

Medical images modality classification using multi-scale dictionary learning. - M. Srinivas; C. Krishna Mohan (DSP, 2014)

Learning sparse dictionaries for music and speech classification. - M. Srinivas; Debaditya Roy; C. Krishna Mohan (DSP, 2014)

Dictionary based action video classification with action bank. - Shyju Wilson; M. Srinivas; C. Krishna Mohan (DSP, 2014)

Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ICMLA, 2014)

Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ICMLA, 2014)

One-Shot Periodic Activity Recognition Using Convolutional Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ICMLA, 2014)

Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ICMLA, 2014)

Music genre classification using On-line Dictionary Learning. - M. Srinivas; Debaditya Roy; C. Krishna Mohan (IJCNN, 2014)

Sparsity-based Iris Classification using Iris Fiber Structures. - Nalla Pattabhi Ramaiah; Nalla Srilatha; Chalavadi Krishna Mohan (BIOSIG, 2015)

Multi-level classification: A generic classification method for medical datasets. - M. Srinivas; R. Bharath; Pachamuthu Rajalakshmi; C. Krishna Mohan (HealthCom, 2015)

Human action recognition based on motion capture information using fuzzy convolution neural networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (ICAPR, 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 (ICMLA, 2015)

Feature selection using Deep Neural Networks. - Debaditya Roy; K. Sri Rama Murty; C. Krishna Mohan (IJCNN, 2015)

Sparseland model for speckle suppression of B-mode ultrasound images. - M. Srinivas; R. Bharath; Pachamuthu Rajalakshmi; C. Krishna Mohan (NCC, 2015)

Sparsifying Dense Features for Action Classification. - Debaditya Roy; M. Srinivas; C. Krishna Mohan (PerMIn, 2015)

Content based medical image retrieval using dictionary learning. - M. Srinivas; R. Ramu Naidu; Challa S. Sastry; C. Krishna Mohan (Neurocomputing, 2015)

Distributed quadratic programming solver for kernel SVM using genetic algorithm. - Dinesh Singh 001; C. Krishna Mohan (CEC, 2016)

Palmprint Recognition Based on Minutiae Quadruplets. - A. Tirupathi Rao; N. Pattabhi Ramaiah; C. Krishna Mohan (CVIP (2), 2016)

Classification of medical images using edge-based features and sparse representation. - M. Srinivas; C. Krishna Mohan (ICASSP, 2016)

Discriminative feature extraction from X-ray images using deep convolutional neural networks. - M. Srinivas; Debaditya Roy; C. Krishna Mohan (ICASSP, 2016)

Spontaneous Facial Expression Recognition: A Part Based Approach. - Nazil Perveen; Dinesh Singh 001; C. Krishna Mohan (ICMLA, 2016)

Visual Big Data Analytics for Traffic Monitoring in Smart City. - Dinesh Singh 001; Chalavadi Vishnu; C. Krishna Mohan (ICMLA, 2016)

Automatic detection of bike-riders without helmet using surveillance videos in real-time. - Kunal Dahiya; Dinesh Singh 001; C. Krishna Mohan (IJCNN, 2016)

Hybrid deep neural network model for human action recognition. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (Appl. Soft Comput., 2016)

Human action recognition using genetic algorithms and convolutional neural networks. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (Pattern Recognit., 2016)

Sparsity-inducing dictionaries for effective action classification. - Debaditya Roy; M. Srinivas; C. Krishna Mohan (Pattern Recognit., 2016)

Classification of human actions using pose-based features and stacked auto encoder. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (Pattern Recognit. Lett., 2016)

Action-vectors: Unsupervised movement modeling for action recognition. - Debaditya Roy; K. Sri Rama Murty; C. Krishna Mohan (ICASSP, 2017)

Detection of motorcyclists without helmet in videos using convolutional neural network. - Chalavadi Vishnu; Dinesh Singh 001; C. Krishna Mohan; Ch. Sobhan Babu (IJCNN, 2017)

Human action recognition in RGB-D videos using motion sequence information and deep learning. - Earnest Paul Ijjina; Chalavadi Krishna Mohan (Pattern Recognit., 2017)

Graph formulation of video activities for abnormal activity recognition. - Dinesh Singh 001; C. Krishna Mohan (Pattern Recognit., 2017)

Coherent and Noncoherent Dictionaries for Action Recognition. - Shyju Wilson; C. Krishna Mohan (IEEE Signal Process. Lett., 2017)

DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data. - Dinesh Singh 001; Debaditya Roy; C. Krishna Mohan (IEEE Trans. Big Data, 2017)

Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning. - Dinesh Singh 001; C. Krishna Mohan (IEEE BigData, 2018)

Fast-BoW: Scaling Bag-of-Visual-Words Generation. - Dinesh Singh 001; Abhijeet Bhure; Sumit Mamtani; C. Krishna Mohan (BMVC, 2018)

Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks. - Debaditya Roy; C. Krishna Mohan; K. Sri Rama Murty (ICIP, 2018)

Tracking rapid body deformation using sparse representation of deep features. - Debaditya Roy; Gaddam Sreedatta Sanjay Bharath; Mani Kumar T.; C. Krishna Mohan (ICVGIP, 2018)

Snatch theft detection in unconstrained surveillance videos using action attribute modelling. - Debaditya Roy; C. Krishna Mohan (Pattern Recognit. Lett., 2018)

Spontaneous Expression Recognition Using Universal Attribute Model. - Nazil Perveen; Debaditya Roy; Chalavadi Krishna Mohan (IEEE Trans. Image Process., 2018)

An Information Bottleneck Approach to Optimize the Dictionary of Visual Data. - Shyju Wilson; C. Krishna Mohan (IEEE Trans. Multim., 2018)

Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks. - Debaditya Roy; Tetsuhiro Ishizaka; C. Krishna Mohan; Atsushi Fukuda (ITSC, 2019)

Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder. - Dinesh Singh 001; Chalavadi Krishna Mohan (IEEE Trans. Intell. Transp. Syst., 2019)

Unsupervised Universal Attribute Modeling for Action Recognition. - Debaditya Roy; Kodukula Sri Rama Murty; Chalavadi Krishna Mohan (IEEE Trans. Multim., 2019)

Black-box Adversarial Attacks in Autonomous Vehicle Technology. - K. Naveen Kumar; Chalavadi Vishnu; Reshmi Mitra; C. Krishna Mohan (AIPR, 2020)

Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis. - Nazil Perveen; Chalavadi Krishna Mohan; Yen-Wei Chen 001 (VISIGRAPP (Revised Selected Papers), 2020)

Defining Traffic States using Spatio-temporal Traffic Graphs. - Debaditya Roy; K. Naveen Kumar; C. Krishna Mohan (ITSC, 2020)

Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device. - Dinesh Singh 001; Chalavadi Vishnu; C. Krishna Mohan (ITSC, 2020)

Configural Representation of Facial Action Units for Spontaneous Facial Expression Recognition in the Wild. - Nazil Perveen; Chalavadi Krishna Mohan (VISIGRAPP (4: VISAPP), 2020)

Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels. - Nazil Perveen; Chalavadi Krishna Mohan; Yen-Wei Chen 001 (VISIGRAPP (5: VISAPP), 2020)

ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. - Rajat Saini; Nandan Kumar Jha; Bedanta Das; Sparsh Mittal; C. Krishna Mohan (WACV, 2020)

Facial Expression Recognition in Videos Using Dynamic Kernels. - Nazil Perveen; Debaditya Roy; Chalavadi Krishna Mohan (IEEE Trans. Image Process., 2020)

Echocardiogram Analysis Using Motion Profile Modeling. - Inayathullah Ghori; Debaditya Roy; Renu John; Chalavadi Krishna Mohan (IEEE Trans. Medical Imaging, 2020)

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 (AIMLSystems, 2021)

A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images. - Rajeshreddy Datla; Vishnu Chalavadi; C. Krishna Mohan (ICMV, 2021)

A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images. - Rajeshreddy Datla; Vishnu Chalavadi; C. Krishna Mohan (ICMV, 2021)

Scene Classification in Remote Sensing Images using Dynamic Kernels. - Rajeshreddy Datla; Vishnu Chalavadi; Krishna Mohan C (IJCNN, 2021)

Attentive Contextual Network for Image Captioning. - Jeripothula Prudviraj; Chalavadi Vishnu; C. Krishna Mohan (IJCNN, 2021)

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection. - Kumari Deepshikha; Sai Harsha Yelleni; P. K. Srijith; C. Krishna Mohan (CoRR, 2021)

A novel framework for seamless mosaic of Cartosat-1 DEM scenes. - Rajeshreddy Datla; C. Krishna Mohan (Comput. Geosci., 2021)

Residual spatiotemporal autoencoder for unsupervised video anomaly detection. - K. Deepak; S. Chandrakala 001; C. Krishna Mohan (Signal Image Video Process., 2021)

Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study. - K. Naveen Kumar; Digvijay S. Pawar; C. Krishna Mohan (COMSNETS, 2022)

Structural representative network for remote sensing image captioning. - Jaya Sharma; Peketi Divya; Sravani Yenduri; B. H. Shekar; Chalavadi Krishna Mohan (ICMV, 2022)

Performance analysis of deep neural networks for COVID-19 detection from chest radiographs. - B. H. Shekar; Shazia Mannan; Habtu Hailu; C. Krishna Mohan; Linga Reddy Cenkeramaddi (ICMV, 2022)

Adaptive spatial and temporal aggregation for table tennis shot recognition. - Sravani Yenduri; Vishnu Chalavadi; C. Krishna Mohan (ICMV, 2022)

STIP-GCN: Space-time interest points graph convolutional network for action recognition. - Sravani Yenduri; Vishnu Chalavadi; C. Krishna Mohan (IJCNN, 2022)

Aircraft Type Recognition in Remote Sensing Images using Mean Interval Kernel. - Jaya Sharma; Rajeshreddy Datla; Sravani Yenduri; Vishnu Chalavadi; C. Krishna Mohan (IMPROVE, 2022)

Fine-grained Action Recognition using Attribute Vectors. - Sravani Yenduri; Nazil Perveen; Vishnu Chalavadi; C. Krishna Mohan (VISIGRAPP (5: VISAPP), 2022)

M-FFN: multi-scale feature fusion network for image captioning. - Jeripothula Prudviraj; Chalavadi Vishnu; Chalavadi Krishna Mohan (Appl. Intell., 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)

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)

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)

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)

Fine-grained action recognition using dynamic kernels. - Sravani Yenduri; Nazil Perveen; Vishnu Chalavadi; Krishna Mohan C (Pattern Recognit., 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)

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)

FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal. - Mrinmay Sen; C. Krishna Mohan (BDA, 2023)

NOAH: Newton Method of Optimization with Approximated Hessian. - Mrinmay Sen; C. Krishna Mohan (HPCC/DSS/SmartCity/DependSys, 2023)

Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (HPCC/DSS/SmartCity/DependSys, 2023)

Multi-Target Classification Using Deep Learning Models for Automotive Applications. - Soumya A.; Linga Reddy Cenkeramaddi; Chalavadi Vishnu; Yash Vinod Lanjewar; Krishna Mohan C (ICCMA, 2023)

Multi-class object classification using deep learning models in automotive object detection scenarios. - Soumya A.; Linga Reddy Cenkeramaddi; Vishnu Chalavadi; C. Krishna Mohan (ICMV, 2023)

False positive elimination in object detection methods for videos. - Shubham Kumar Dubey; J. V. Satyanarayana; C. Krishna Mohan (ICMV, 2023)

A data parallel approach for distributed neural networks to achieve faster convergence. - C. Nagaraju; Yenda Ramesh; C. Krishna Mohan (ICMV, 2023)

FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation. - Peketi Divya; Vishnu Chalavadi; C. Krishna Mohan; Yen-Wei Chen 001 (IJCNN, 2023)

Handling Data Heterogeneity in Federated Learning with Global Data Distribution. - C. Nagaraju; Mrinmay Sen; C. Krishna Mohan (IMPROVE, 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 (MVA, 2023)

MADG: Margin-based Adversarial Learning for Domain Generalization. - Aveen Dayal; Vimal K. B.; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001; Vineeth N. Balasubramanian (NeurIPS, 2023)

Federated Optimization with Linear-Time Approximated Hessian Diagonal. - Mrinmay Sen; C. Krishna Mohan; A. Kai Qin (PReMI, 2023)

FONN: Federated Optimization with Nys-Newton. - C. Nagaraju; Mrinmay Sen; C. Krishna Mohan (TENCON, 2023)

Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images. - Rasna A. Amit; C. Krishna Mohan (VISIGRAPP (5: VISAPP), 2023)

Deformable and Structural Representative Network for Remote Sensing Image Captioning. - Jaya Sharma; Peketi Divya; Chalavadi Vishnu; Linga Reddy Cenkeramaddi; B. H. Sekhar; C. Krishna Mohan (VISIGRAPP (4: VISAPP), 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)

Incorporating attentive multi-scale context information for image captioning. - Jeripothula Prudviraj; Sravani Yenduri; C. Krishna Mohan (Multim. Tools Appl., 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., 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., 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, 2023)

A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images. - Damalla Rambabu; Rajeshreddy Datla; Vishnu Chalavadi; C. Krishna Mohan (AVSS, 2024)

Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning. - K. Naveen Kumar; C. Krishna Mohan; Aravind Machiry (CODASPY, 2024)

Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space. - K. Naveen Kumar; Reshmi Mitra; C. Krishna Mohan (CVPR, 2024)

Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. - Aveen Dayal; Rishabh Lalla; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001; Vineeth N. Balasubramanian (ECCV (32), 2024)

Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition? - Khin Cho Win; Zahid Akhtar; C. Krishna Mohan (ICMVA, 2024)

TransWardX: An Explainable Black-Box Object Detection Attack for Autonomous Driving in Transitional Weather Conditions. - Madhavi Kondapally; K. Naveen Kumar; C. Krishna Mohan (ICPR (Workshops and Challenges, 6), 2024)

FL-PSeC: Federated Learning-Pseudo Labeled Medical Image Segmentation with Personalized Class Balancing Semi-supervised Approach. - Ishu Priya; C. Krishna Mohan (ICPR (10), 2024)

Object Detection in Transitional Weather Conditions for Autonomous Vehicles. - Madhavi Kondapally; K. Naveen Kumar; C. Krishna Mohan (IJCNN, 2024)

RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer. - Damalla Rambabu; G. Swetha; Rajeshreddy Datla; Vishnu Chalavadi; C. Krishna Mohan (IJCNN, 2024)

PointBi-FPN: An Extention to Pointpillars for LiDAR 3D Object Detection in Autonomous Vehicles Using Bi-Directional Feature Pyramid Network. - Soumya A.; Krishna Mohan C; Linga Reddy Cenkeramaddi; Sobhan Babu (TENCON, 2024)

Robust Facial Emotion Recognition System via De-Pooling Feature Enhancement and Weighted Exponential Moving Average. - Khin Cho Win; Zahid Akhtar; C. Krishna Mohan (TENCON, 2024)

High Precision Single Shot Object Detection in Automotive Scenarios. - Soumya A.; C. Krishna Mohan; Linga Reddy Cenkeramaddi (VISIGRAPP (2): VISAPP, 2024)

Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO. - Shubham Kumar Dubey; J. V. Satyanarayana; C. Krishna Mohan (VISIGRAPP (4): VISAPP, 2024)

FAGH: Accelerating Federated Learning with Approximated Global Hessian. - Mrinmay Sen; A. Kai Qin; Krishna Mohan C (CoRR, 2024)

Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach. - Challapalli Phanindra Revanth; Sumohana S. Channappayya; C. Krishna Mohan (CoRR, 2024)

Learning scene-vectors for remote sensing image scene classification. - Rajeshreddy Datla; Nazil Perveen; C. Krishna Mohan (Neurocomputing, 2024)

Adaptive temporal aggregation for table tennis shot recognition. - Sravani Yenduri; Vishnu Chalavadi; C. Krishna Mohan (Neurocomputing, 2024)

TSANet: Forecasting traffic congestion patterns from aerial videos using graphs and transformers. - K. Naveen Kumar; Debaditya Roy; Thakur Ashutosh Suman; Chalavadi Vishnu; C. Krishna Mohan (Pattern Recognit., 2024)

Monte Carlo DropBlock for modeling uncertainty in object detection. - Sai Harsha Yelleni; Deepshikha Kumari; Srijith P. K; Krishna Mohan C (Pattern Recognit., 2024)

Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet. - Suresh Samudrala; C. Krishna Mohan (Multim. Tools Appl., 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., 2024)

Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation. - Peketi Divya; Sravani Yenduri; Chalavadi Vishnu; C. Krishna Mohan; Yen-Wei Chen 001 (IEEE J. Biomed. Health Informatics, 2024)

Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles. - Madhavi Kondapally; Kummari Naveen Kumar; Chalavadi Vishnu; C. Krishna Mohan (IEEE Trans. Intell. Transp. Syst., 2024)

An integrated approach for prediction of magnitude using deep learning techniques. - Anushka Joshi; Balasubramanian Raman; C. Krishna Mohan (Neural Comput. Appl., 2024)

Artificial Intelligence in Practice - Theory and Application for Cyber Security and Forensics - S. Sitharama Iyengar; Seyedsina Nabavirazavi; Yashas Hariprasad; Prasad HB; C. Krishna Mohan (Springer, 2025)

Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution. - K. Naveen Kumar; Ranjeet Ranjan Jha; C. Krishna Mohan; Ravindra Babu Tallamraju (CVPR, 2025)

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective. - K. Naveen Kumar; C. Krishna Mohan; Linga Reddy Cenkeramaddi; Navchetan Awasthi (Artif. Intell. Medicine, 2025)

CPL-PL: Contrapositive Learning-Based Pseudo-Labeling for Semi-Supervised Scene Classification in Remote Sensing Images. - G. Swetha; Rajeshreddy Datla; Sobhan Babu Chintapalli; C. Krishna Mohan (IEEE Geosci. Remote. Sens. Lett., 2025)

Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective. - K. Naveen Kumar; C. Krishna Mohan; Linga Reddy Cenkeramaddi (IEEE Trans. Inf. Forensics Secur., 2025)

Leveraging Mixture Alignment for Multi-Source Domain Adaptation. - Aveen Dayal; Shrusti S.; Linga Reddy Cenkeramaddi; C. Krishna Mohan; Abhinav Kumar 001 (IEEE Trans. Image Process., 2025)

Accelerated Training of Federated Learning via Second-Order Methods. - Mrinmay Sen; Sidhant R. Nair; C. Krishna Mohan (CoRR, 2025)

Overcoming Challenges of Partial Client Participation in Federated Learning : A Comprehensive Review. - Mrinmay Sen; Shruti Aparna; Rohit Agarwal; Chalavadi Krishna Mohan (CoRR, 2025)

pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization. - Mrinmay Sen; Chalavadi Krishna Mohan (CoRR, 2025)