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ORCIDC. Krishna Mohan
Krishna Mohan C – Chalavadi Krishna Mohan
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- affiliation: Indian Institute of Technology Hyderabad
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Journal Articles
- 2024
[j40]Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
Adaptive temporal aggregation for table tennis shot recognition. Neurocomputing 584: 127567 (2024)- [j39]Rajeshreddy Datla
, Nazil Perveen, C. Krishna Mohan:
Learning scene-vectors for remote sensing image scene classification. Neurocomputing 587: 127679 (2024) - [j38]Suresh Samudrala, C. Krishna Mohan:
Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet. Multim. Tools Appl. 83(15): 46037-46063 (2024) - [j37]Anushka Joshi, Balasubramanian Raman, C. Krishna Mohan:
An integrated approach for prediction of magnitude using deep learning techniques. Neural Comput. Appl. 36(27): 16991-17006 (2024) - [j36]Kummari Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi:
The Impact of Adversarial Attacks on Federated Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2672-2691 (2024) - [j35]Sai Harsha Yelleni, Deepshikha Kumari, Srijith P. K, Krishna Mohan C:
Monte Carlo DropBlock for modeling uncertainty in object detection. Pattern Recognit. 146: 110003 (2024) - [j34]K. Naveen Kumar, Debaditya Roy, Thakur Ashutosh Suman, Chalavadi Vishnu, C. Krishna Mohan:
TSANet: Forecasting traffic congestion patterns from aerial videos using graphs and transformers. Pattern Recognit. 155: 110721 (2024) - [j33]Peketi Divya, Sravani Yenduri, Chalavadi Vishnu, C. Krishna Mohan, Yen-Wei Chen:
Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation. IEEE J. Biomed. Health Informatics 28(5): 3079-3089 (2024) - [j32]Madhavi Kondapally, Kummari Naveen Kumar, Chalavadi Vishnu, C. Krishna Mohan:
Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles. IEEE Trans. Intell. Transp. Syst. 25(6): 5201-5210 (2024) - 2023
- [j31]Jeripothula Prudviraj, Sravani Yenduri, C. Krishna Mohan:
Incorporating attentive multi-scale context information for image captioning. Multim. Tools Appl. 82(7): 10017-10037 (2023) - [j30]Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu:
Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios. IEEE Robotics Autom. Lett. 8(5): 2708-2715 (2023) - [j29]Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, C. Krishna Mohan, Ch. Sobhan Babu:
Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios". IEEE Robotics Autom. Lett. 8(11): 7519 (2023) - [j28]Soumya A, C. Krishna Mohan, Linga Reddy Cenkeramaddi:
Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review. Sensors 23(21): 8901 (2023) - [j27]Chalavadi Vishnu, Jayesh Khandelwal, C. Krishna Mohan, Linga Reddy Cenkeramaddi:
EVAA - Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles. IEEE Trans. Geosci. Remote. Sens. 61: 1-10 (2023) - 2022
- [j26]Jeripothula Prudviraj, Chalavadi Vishnu, Chalavadi Krishna Mohan:
M-FFN: multi-scale feature fusion network for image captioning. Appl. Intell. 52(13): 14711-14723 (2022) - [j25]Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan:
WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects. Comput. Ind. 142: 103720 (2022) - [j24]Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R. Sai Chandra Teja, Gajanan H. Chavhan, C. Krishna Mohan, Sparsh Mittal:
ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. J. Syst. Archit. 132: 102736 (2022) - [j23]Sravani Yenduri, Nazil Perveen, Vishnu Chalavadi, Krishna Mohan C:
Fine-grained action recognition using dynamic kernels. Pattern Recognit. 122: 108282 (2022) - [j22]Vishnu Chalavadi, Jeripothula Prudviraj, Rajeshreddy Datla, Ch. Sobhan Babu, Krishna Mohan C:
mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions. Pattern Recognit. 126: 108548 (2022) - [j21]Jeripothula Prudviraj, Malipatel Indrakaran Reddy, Chalavadi Vishnu, Chalavadi Krishna Mohan:
AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description. IEEE Trans. Image Process. 31: 5559-5569 (2022) - [j20]Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, Atsushi Fukuda:
Detection of Collision-Prone Vehicle Behavior at Intersections Using Siamese Interaction LSTM. IEEE Trans. Intell. Transp. Syst. 23(4): 3137-3147 (2022) - 2021
- [j19]Rajeshreddy Datla, C. Krishna Mohan:
A novel framework for seamless mosaic of Cartosat-1 DEM scenes. Comput. Geosci. 146: 104619 (2021) - [j18]K. Deepak, S. Chandrakala, C. Krishna Mohan:
Residual spatiotemporal autoencoder for unsupervised video anomaly detection. Signal Image Video Process. 15(1): 215-222 (2021) - 2020
- [j17]Nazil Perveen, Debaditya Roy, Chalavadi Krishna Mohan:
Facial Expression Recognition in Videos Using Dynamic Kernels. IEEE Trans. Image Process. 29: 8316-8325 (2020) - [j16]Inayathullah Ghori, Debaditya Roy, Renu John, Chalavadi Krishna Mohan:
Echocardiogram Analysis Using Motion Profile Modeling. IEEE Trans. Medical Imaging 39(5): 1767-1774 (2020) - 2019
- [j15]Dinesh Singh, Chalavadi Krishna Mohan:
Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder. IEEE Trans. Intell. Transp. Syst. 20(3): 879-887 (2019) - [j14]Debaditya Roy, Kodukula Sri Rama Murty, Chalavadi Krishna Mohan:
Unsupervised Universal Attribute Modeling for Action Recognition. IEEE Trans. Multim. 21(7): 1672-1680 (2019) - 2018
- [j13]Debaditya Roy, C. Krishna Mohan:
Snatch theft detection in unconstrained surveillance videos using action attribute modelling. Pattern Recognit. Lett. 108: 56-61 (2018) - [j12]Nazil Perveen, Debaditya Roy, Chalavadi Krishna Mohan:
Spontaneous Expression Recognition Using Universal Attribute Model. IEEE Trans. Image Process. 27(11): 5575-5584 (2018) - [j11]Shyju Wilson, C. Krishna Mohan:
An Information Bottleneck Approach to Optimize the Dictionary of Visual Data. IEEE Trans. Multim. 20(1): 96-106 (2018) - 2017
- [j10]Dinesh Singh, C. Krishna Mohan:
Graph formulation of video activities for abnormal activity recognition. Pattern Recognit. 65: 265-272 (2017) - [j9]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human action recognition in RGB-D videos using motion sequence information and deep learning. Pattern Recognit. 72: 504-516 (2017) - [j8]Shyju Wilson, C. Krishna Mohan:
Coherent and Noncoherent Dictionaries for Action Recognition. IEEE Signal Process. Lett. 24(5): 698-702 (2017) - [j7]Dinesh Singh, Debaditya Roy, C. Krishna Mohan:
DiP-SVM : Distribution Preserving Kernel Support Vector Machine for Big Data. IEEE Trans. Big Data 3(1): 79-90 (2017) - 2016
- [j6]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Hybrid deep neural network model for human action recognition. Appl. Soft Comput. 46: 936-952 (2016) - [j5]Debaditya Roy, M. Srinivas, C. Krishna Mohan:
Sparsity-inducing dictionaries for effective action classification. Pattern Recognit. 59: 55-62 (2016) - [j4]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human action recognition using genetic algorithms and convolutional neural networks. Pattern Recognit. 59: 199-212 (2016) - [j3]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Classification of human actions using pose-based features and stacked auto encoder. Pattern Recognit. Lett. 83: 268-277 (2016) - 2015
- [j2]M. Srinivas, R. Ramu Naidu, Challa S. Sastry, C. Krishna Mohan:
Content based medical image retrieval using dictionary learning. Neurocomputing 168: 880-895 (2015) - 2010
- [j1]C. Krishna Mohan, B. Yegnanarayana:
Classification of sport videos using edge-based features and autoassociative neural network models. Signal Image Video Process. 4(1): 61-73 (2010)
Conference and Workshop Papers
- 2024
- [c73]Damalla Rambabu, Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan:
A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images. AVSS 2024: 1-7 - [c72]K. Naveen Kumar, C. Krishna Mohan, Aravind Machiry:
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning. CODASPY 2024: 233-244 - [c71]K. Naveen Kumar, Reshmi Mitra, C. Krishna Mohan:
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space. CVPR 2024: 24387-24397 - [c70]Khin Cho Win, Zahid Akhtar, C. Krishna Mohan:
Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition? ICMVA 2024: 162-168 - [c69]Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan:
Object Detection in Transitional Weather Conditions for Autonomous Vehicles. IJCNN 2024: 1-8 - [c68]Damalla Rambabu, G. Swetha, Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan:
RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer. IJCNN 2024: 1-8 - [c67]Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan:
Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO. VISIGRAPP (4): VISAPP 2024: 270-277 - [c66]Soumya A, C. Krishna Mohan, Linga Reddy Cenkeramaddi:
High Precision Single Shot Object Detection in Automotive Scenarios. VISIGRAPP (2): VISAPP 2024: 604-611 - 2023
- [c65]Mrinmay Sen, C. Krishna Mohan:
FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal. BDA 2023: 235-245 - [c64]Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Nys-FL: A communication efficient Federated learning with Nyström approximated Global Newton direction. HPCC/DSS/SmartCity/DependSys 2023: 217-224 - [c63]Mrinmay Sen, C. Krishna Mohan:
NOAH: Newton Method of Optimization with Approximated Hessian. HPCC/DSS/SmartCity/DependSys 2023: 355-360 - [c62]Soumya A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, Yash Vinod Lanjewar, Krishna Mohan C:
Multi-Target Classification Using Deep Learning Models for Automotive Applications. ICCMA 2023: 31-36 - [c61]Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen-Wei Chen:
FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation. IJCNN 2023: 1-8 - [c60]C. Nagaraju, Mrinmay Sen, C. Krishna Mohan:
Handling Data Heterogeneity in Federated Learning with Global Data Distribution. IMPROVE 2023: 121-125 - [c59]G. Swetha, Rajeshreddy Datla, Chalavadi Vishnu, Krishna Mohan C:
MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images. MVA 2023: 1-6 - [c58]Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian:
MADG: Margin-based Adversarial Learning for Domain Generalization. NeurIPS 2023 - [c57]Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Federated Optimization with Linear-Time Approximated Hessian Diagonal. PReMI 2023: 106-113 - [c56]C. Nagaraju, Mrinmay Sen, C. Krishna Mohan:
FONN: Federated Optimization with Nys-Newton. TENCON 2023: 530-534 - [c55]Jaya Sharm, Peketi Divya, Chalavadi Vishnu, Linga Reddy Cenkeramaddi, B. H. Sekhar, C. Krishna Mohan:
Deformable and Structural Representative Network for Remote Sensing Image Captioning. VISIGRAPP (4: VISAPP) 2023: 56-64 - [c54]Rasna A. Amit, C. Krishna Mohan:
Quantitative Analysis to Find the Optimum Scale Range for Object Representations in Remote Sensing Images. VISIGRAPP (5: VISAPP) 2023: 369-379 - 2022
- [c53]K. Naveen Kumar, Digvijay S. Pawar, C. Krishna Mohan:
Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study. COMSNETS 2022: 800-805 - [c52]Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
STIP-GCN: Space-time interest points graph convolutional network for action recognition. IJCNN 2022: 1-8 - [c51]Jaya Sharma, Rajeshreddy Datla, Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
Aircraft Type Recognition in Remote Sensing Images using Mean Interval Kernel. IMPROVE 2022: 166-173 - [c50]Sravani Yenduri, Nazil Perveen, Vishnu Chalavadi, C. Krishna Mohan:
Fine-grained Action Recognition using Attribute Vectors. VISIGRAPP (5: VISAPP) 2022: 134-143 - 2021
- [c49]Bhargav Achary Dandpati Kumar, R. Sai Chandra Teja, Sparsh Mittal, Biswabandan Panda, C. Krishna Mohan:
Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack. AIMLSystems 2021: 4:1-4:7 - [c48]Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan:
A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images. ICMV 2021: 120840N - [c47]Rajeshreddy Datla, Vishnu Chalavadi, C. Krishna Mohan:
A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images. ICMV 2021: 1208407 - [c46]Rajeshreddy Datla, Vishnu Chalavadi, Krishna Mohan C:
Scene Classification in Remote Sensing Images using Dynamic Kernels. IJCNN 2021: 1-8 - [c45]Jeripothula Prudviraj, Chalavadi Vishnu, C. Krishna Mohan:
Attentive Contextual Network for Image Captioning. IJCNN 2021: 1-8 - 2020
- [c44]K. Naveen Kumar, Chalavadi Vishnu, Reshmi Mitra, C. Krishna Mohan:
Black-box Adversarial Attacks in Autonomous Vehicle Technology. AIPR 2020: 1-7 - [c43]Nazil Perveen, Chalavadi Krishna Mohan, Yen-Wei Chen:
Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis. VISIGRAPP (Revised Selected Papers) 2020: 372-393 - [c42]Debaditya Roy, K. Naveen Kumar, C. Krishna Mohan:
Defining Traffic States using Spatio-temporal Traffic Graphs. ITSC 2020: 1-6 - [c41]Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan:
Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device. ITSC 2020: 1-8 - [c40]Nazil Perveen, Chalavadi Krishna Mohan:
Configural Representation of Facial Action Units for Spontaneous Facial Expression Recognition in the Wild. VISIGRAPP (4: VISAPP) 2020: 93-102 - [c39]Nazil Perveen, Chalavadi Krishna Mohan, Yen-Wei Chen:
Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels. VISIGRAPP (5: VISAPP) 2020: 173-184 - [c38]Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan:
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. WACV 2020: 1616-1625 - 2019
- [c37]Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, Atsushi Fukuda:
Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks. ITSC 2019: 2318-2323 - 2018
- [c36]Dinesh Singh, C. Krishna Mohan:
Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning. IEEE BigData 2018: 74-83 - [c35]Dinesh Singh, Abhijeet Bhure, Sumit Mamtani, C. Krishna Mohan:
Fast-BoW: Scaling Bag-of-Visual-Words Generation. BMVC 2018: 287 - [c34]Debaditya Roy, C. Krishna Mohan, K. Sri Rama Murty:
Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks. ICIP 2018: 3473-3477 - [c33]Debaditya Roy, Gaddam Sreedatta Sanjay Bharath, Mani Kumar T., C. Krishna Mohan:
Tracking rapid body deformation using sparse representation of deep features. ICVGIP 2018: 70:1-70:7 - 2017
- [c32]Debaditya Roy, K. Sri Rama Murty, C. Krishna Mohan:
Action-vectors: Unsupervised movement modeling for action recognition. ICASSP 2017: 1602-1606 - [c31]Chalavadi Vishnu, Dinesh Singh, C. Krishna Mohan, Ch. Sobhan Babu:
Detection of motorcyclists without helmet in videos using convolutional neural network. IJCNN 2017: 3036-3041 - 2016
- [c30]Dinesh Singh, C. Krishna Mohan:
Distributed quadratic programming solver for kernel SVM using genetic algorithm. CEC 2016: 152-159 - [c29]A. Tirupathi Rao, N. Pattabhi Ramaiah, C. Krishna Mohan:
Palmprint Recognition Based on Minutiae Quadruplets. CVIP (2) 2016: 117-126 - [c28]M. Srinivas, C. Krishna Mohan:
Classification of medical images using edge-based features and sparse representation. ICASSP 2016: 912-916 - [c27]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Discriminative feature extraction from X-ray images using deep convolutional neural networks. ICASSP 2016: 917-921 - [c26]Nazil Perveen, Dinesh Singh, C. Krishna Mohan:
Spontaneous Facial Expression Recognition: A Part Based Approach. ICMLA 2016: 819-824 - [c25]Dinesh Singh, Chalavadi Vishnu, C. Krishna Mohan:
Visual Big Data Analytics for Traffic Monitoring in Smart City. ICMLA 2016: 886-891 - [c24]Kunal Dahiya, Dinesh Singh, C. Krishna Mohan:
Automatic detection of bike-riders without helmet using surveillance videos in real-time. IJCNN 2016: 3046-3051 - 2015
- [c23]Nalla Pattabhi Ramaiah, Nalla Srilatha, Chalavadi Krishna Mohan:
Sparsity-based Iris Classification using Iris Fiber Structures. BIOSIG 2015: 207-214 - [c22]M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan:
Multi-level classification: A generic classification method for medical datasets. HealthCom 2015: 262-267 - [c21]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human action recognition based on motion capture information using fuzzy convolution neural networks. ICAPR 2015: 1-6 - [c20]A. Tirupathi Rao, N. Pattabhi Ramaiah, V. Raghavendra Reddy, C. Krishna Mohan:
Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity. ICMLA 2015: 378-381 - [c19]Debaditya Roy, K. Sri Rama Murty, C. Krishna Mohan:
Feature selection using Deep Neural Networks. IJCNN 2015: 1-6 - [c18]M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi, C. Krishna Mohan:
Sparseland model for speckle suppression of B-mode ultrasound images. NCC 2015: 1-6 - [c17]Debaditya Roy, M. Srinivas, C. Krishna Mohan:
Sparsifying Dense Features for Action Classification. PerMIn 2015: 211-217 - 2014
- [c16]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks. ACCV Workshops (1) 2014: 316-327 - [c15]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human Action Recognition Using Action Bank Features and Convolutional Neural Networks. ACCV Workshops (1) 2014: 328-339 - [c14]N. Pattabhi Ramaiah, A. Tirupathi Rao, C. Krishna Mohan:
Enhancements to latent fingerprints in forensic applications. DSP 2014: 439-443 - [c13]Shyju Wilson, M. Srinivas, C. Krishna Mohan:
Dictionary based action video classification with action bank. DSP 2014: 597-600 - [c12]M. Srinivas, C. Krishna Mohan:
Medical images modality classification using multi-scale dictionary learning. DSP 2014: 621-625 - [c11]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Learning sparse dictionaries for music and speech classification. DSP 2014: 673-675 - [c10]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks. ICMLA 2014: 159-164 - [c9]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Human Action Recognition Based on Recognition of Linear Patterns in Action Bank Features Using Convolutional Neural Networks. ICMLA 2014: 178-182 - [c8]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
One-Shot Periodic Activity Recognition Using Convolutional Neural Networks. ICMLA 2014: 388-391 - [c7]Earnest Paul Ijjina, Chalavadi Krishna Mohan:
Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks. ICMLA 2014: 392-396 - [c6]M. Srinivas, Debaditya Roy, C. Krishna Mohan:
Music genre classification using On-line Dictionary Learning. IJCNN 2014: 1937-1941 - 2011
- [c5]N. Pattabhi Ramaiah, C. Krishna Mohan:
De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation. ICMLA (1) 2011: 208-211 - 2010
- [c4]M. Srinivas, C. Krishna Mohan:
Efficient clustering approach using incremental and hierarchical clustering methods. IJCNN 2010: 1-7 - 2008
- [c3]C. Krishna Mohan, N. Dhananjaya, B. Yegnanarayana:
Video Shot Segmentation Using Late Fusion Technique. ICMLA 2008: 267-270 - 2007
- [c2]C. Krishna Mohan, B. Yegnanarayana:
Edge-based Sports Video Classification using HMM. IICAI 2007: 559-564 - 2004
- [c1]Vakkalanka Suresh, C. Krishna Mohan, R. Kumaraswamy, B. Yegnanarayana:
Content-Based Video Classification Using Support Vector Machines. ICONIP 2004: 726-731
Informal and Other Publications
- 2024
- [i11]Mrinmay Sen, A. Kai Qin, Krishna Mohan C:
FAGH: Accelerating Federated Learning with Approximated Global Hessian. CoRR abs/2403.11041 (2024) - [i10]Kummari Naveen Kumar, C. Krishna Mohan, Aravind Machiry:
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning. CoRR abs/2404.04139 (2024) - [i9]Challapalli Phanindra Revanth, Sumohana S. Channappayya, C. Krishna Mohan:
Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach. CoRR abs/2406.07332 (2024) - 2023
- [i8]Aveen Dayal, Vimal K. B., Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian:
MADG: Margin-based Adversarial Learning for Domain Generalization. CoRR abs/2311.08503 (2023) - 2022
- [i7]Subhrajit Nag, Dhruv Makwana, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan:
WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects. CoRR abs/2207.00960 (2022) - [i6]Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan:
ACLNet: An Attention and Clustering-based Cloud Segmentation Network. CoRR abs/2207.06277 (2022) - 2021
- [i5]K. Naveen Kumar, Chalavadi Vishnu, Reshmi Mitra, C. Krishna Mohan:
Black-box Adversarial Attacks in Autonomous Vehicle Technology. CoRR abs/2101.06092 (2021) - [i4]Kumari Deepshikha, Sai Harsha Yelleni, P. K. Srijith, C. Krishna Mohan:
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection. CoRR abs/2108.03614 (2021) - 2020
- [i3]Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan:
ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks. CoRR abs/2006.15102 (2020) - [i2]Debaditya Roy, K. Naveen Kumar, C. Krishna Mohan:
Defining Traffic States using Spatio-temporal Traffic Graphs. CoRR abs/2008.00827 (2020) - 2019
- [i1]Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, Atsushi Fukuda:
Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM. CoRR abs/1912.04801 (2019)
Coauthor Index
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last updated on 2024-10-15 00:26 CEST by the dblp team
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