| 2026 | ICPR | Task-Free Online Replay with Contrastive Learning and Dynamic Herding. | Rahul Biswas, C. Krishna Mohan, Subhrajit Nag, Sandipan Dandapat |
| 2026 | ICPRAM | Reducing Spurious Detections in Video-Based Aerial Object Recognition: A Multi-Stage Contextual, Temporal, and Multi-Scale Attention Architecture. | Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan |
| 2026 | ICPRAM | A Unified Framework Combining Clustering Algorithms, SMT-Based Reasoning, and Automated Semantic Analysis to Reduce False Positives in Video Analysis. | Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan |
| 2026 | WACV | Bridging the Domain Gap in Small Multimodal Models: A Dual-level Alignment Perspective. | Aveen Dayal, Peketi Divya, Nidhi Tiwari, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar |
| 2026 | WACV | CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions. | Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan, Sobhan Babu |
| 2025 | AVSS | CE-KD: Class-Wise Expert-Based Knowledge Distillation for Facial Expression Recognition. | Khin Cho Win, Zahid Akhtar, C. Krishna Mohan |
| 2025 | CVPR | 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 |
| 2025 | IJCNN | Fed-SMTDA: A Novel Framework for Federated Source-Free Multi-Target Domain Adaptation Using Feature Clustering and Adaptive Aggregation. | Challapalli Phanindra Revanth, Sumohana S. Channappayya, C. Krishna Mohan |
| 2024 | AVSS | A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images. | Damalla Rambabu, Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan |
| 2024 | CVPR | 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 |
| 2024 | ECCV | Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. | Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian |
| 2024 | ICPR | TransWardX: An Explainable Black-Box Object Detection Attack for Autonomous Driving in Transitional Weather Conditions. | Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan |
| 2024 | ICPR | FL-PSeC: Federated Learning-Pseudo Labeled Medical Image Segmentation with Personalized Class Balancing Semi-supervised Approach. | Ishu Priya, C. Krishna Mohan |
| 2024 | IJCNN | Object Detection in Transitional Weather Conditions for Autonomous Vehicles. | Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan |
| 2024 | IJCNN | 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 |
| 2024 | Tencon | Robust Facial Emotion Recognition System via De-Pooling Feature Enhancement and Weighted Exponential Moving Average. | Khin Cho Win, Zahid Akhtar, C. Krishna Mohan |
| 2024 | VISIGRAPP | High Precision Single Shot Object Detection in Automotive Scenarios. | Soumya Abbu, C. Krishna Mohan, Linga Reddy Cenkeramaddi |
| 2024 | VISIGRAPP | Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO. | Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan |
| 2023 | HPCC | NOAH: Newton Method of Optimization with Approximated Hessian. | Mrinmay Sen, C. Krishna Mohan |
| 2023 | HPCC | Nys-FL: A communication efficient Federated learning with Nystrm approximated Global Newton direction. | Mrinmay Sen, C. Krishna Mohan, A. Kai Qin |
| 2023 | ICMV | Multi-class object classification using deep learning models in automotive object detection scenarios. | Soumya Abbu, Linga Reddy Cenkeramaddi, Vishnu Chalavadi, C. Krishna Mohan |
| 2023 | ICMV | False positive elimination in object detection methods for videos. | Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan |
| 2023 | ICMV | A data parallel approach for distributed neural networks to achieve faster convergence. | C. Nagaraju, Yenda Ramesh, C. Krishna Mohan |
| 2023 | IJCNN | FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation. | Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen-Wei Chen |
| 2023 | Tencon | FONN: Federated Optimization with Nys-Newton. | C. Nagaraju, Mrinmay Sen, C. Krishna Mohan |
| 2022 | COMSNETS | Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study. | K. Naveen Kumar, Digvijay S. Pawar, C. Krishna Mohan |
| 2022 | ICMV | 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 |
| 2022 | ICMV | Adaptive spatial and temporal aggregation for table tennis shot recognition. | Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan |
| 2022 | IJCNN | STIP-GCN: Space-time interest points graph convolutional network for action recognition. | Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan |
| 2021 | ICMV | A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images. | Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan |
| 2021 | ICMV | A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images. | Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan |
| 2021 | IJCNN | Attentive Contextual Network for Image Captioning. | Jeripothula Prudviraj, Chalavadi Vishnu, C. Krishna Mohan |
| 2020 | WACV | ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. | Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan |
| 2018 | BMVC | Fast-BoW: Scaling Bag-of-Visual-Words Generation. | Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, C. Krishna Mohan |
| 2018 | ICIP | Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks. | Debaditya Roy, C. Krishna Mohan, K. Sri Rama Murty |
| 2017 | ICASSP | Action-vectors: Unsupervised movement modeling for action recognition. | Debaditya Roy, K. Sri Rama Murty, C. Krishna Mohan |
| 2017 | IJCNN | Detection of motorcyclists without helmet in videos using convolutional neural network. | Chalavadi Vishnu, Dinesh Singh, C. Krishna Mohan, Ch. Sobhan Babu |
| 2016 | CEC | Distributed quadratic programming solver for kernel SVM using genetic algorithm. | Dinesh Singh, C. Krishna Mohan |
| 2016 | ICASSP | Classification of medical images using edge-based features and sparse representation. | M. Srinivas, C. Krishna Mohan |
| 2016 | ICASSP | Discriminative feature extraction from X-ray images using deep convolutional neural networks. | M. Srinivas, Debaditya Roy, C. Krishna Mohan |
| 2016 | ICMLA | Spontaneous Facial Expression Recognition: A Part Based Approach. | Nazil Perveen, Dinesh Singh, C. Krishna Mohan |
| 2016 | ICMLA | Visual Big Data Analytics for Traffic Monitoring in Smart City. | Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan |
| 2016 | IJCNN | Automatic detection of bike-riders without helmet using surveillance videos in real-time. | Kunal Dahiya, Dinesh Singh, C. Krishna Mohan |
| 2015 | HealthCom | Multi-level classification: A generic classification method for medical datasets. | M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan |
| 2015 | ICMLA | 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 |
| 2015 | IJCNN | Feature selection using Deep Neural Networks. | Debaditya Roy, K. Sri Rama Murty, C. Krishna Mohan |
| 2014 | IJCNN | Music genre classification using On-line Dictionary Learning. | M. Srinivas, Debaditya Roy, C. Krishna Mohan |
| 2011 | ICMLA | De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation. | N. Pattabhi Ramaiah, C. Krishna Mohan |
| 2010 | IJCNN | Efficient clustering approach using incremental and hierarchical clustering methods. | M. Srinivas, C. Krishna Mohan |
| 2008 | ICMLA | Video Shot Segmentation Using Late Fusion Technique. | C. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana |
| 2004 | ICONIP | Content-Based Video Classification Using Support Vector Machines. | Vakkalanka Suresh, C. Krishna Mohan, R. Kumaraswamy, B. Yegnanarayana |