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C. Krishna Mohan
Person information
- affiliation: Indian Institute of Technology Hyderabad
Other persons with a similar name
- Krishna Mohan Bathula
- Krishna Mohan Buddhiraju
- Mohan Krishna Kagita
- Krishna Mohan Mishra
- B. Krishna Mohan
- Chilukuri K. Mohan (aka: Chilukuri Krishna Mohan) — Syracuse University, NY, USA
- Kovur Krishna Mohan
- P. G. Krishna Mohan
- Surapaneni Krishna Mohan
- Mohan Krishna Nutalapati
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2020 – today
- 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) - [c81]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 - [c80]K. Naveen Kumar, C. Krishna Mohan, Aravind Machiry:
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning. CODASPY 2024: 233-244 - [c79]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 - [c78]Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi, C. Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian:
Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach. ECCV (32) 2024: 127-144 - [c77]Khin Cho Win, Zahid Akhtar, C. Krishna Mohan:
Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition? ICMVA 2024: 162-168 - [c76]Ishu Priya, C. Krishna Mohan:
FL-PSeC: Federated Learning-Pseudo Labeled Medical Image Segmentation with Personalized Class Balancing Semi-supervised Approach. ICPR (10) 2024: 227-241 - [c75]Madhavi Kondapally, K. Naveen Kumar, C. Krishna Mohan:
Object Detection in Transitional Weather Conditions for Autonomous Vehicles. IJCNN 2024: 1-8 - [c74]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 - [c73]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 - [c72]Soumya A., C. Krishna Mohan, Linga Reddy Cenkeramaddi:
High Precision Single Shot Object Detection in Automotive Scenarios. VISIGRAPP (2): VISAPP 2024: 604-611 - [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
- [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) - [c71]Mrinmay Sen, C. Krishna Mohan:
FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal. BDA 2023: 235-245 - [c70]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 - [c69]Mrinmay Sen, C. Krishna Mohan:
NOAH: Newton Method of Optimization with Approximated Hessian. HPCC/DSS/SmartCity/DependSys 2023: 355-360 - [c68]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 - [c67]Soumya A., Linga Reddy Cenkeramaddi, Vishnu Chalavadi, C. Krishna Mohan:
Multi-class object classification using deep learning models in automotive object detection scenarios. ICMV 2023 - [c66]Shubham Kumar Dubey, J. V. Satyanarayana, C. Krishna Mohan:
False positive elimination in object detection methods for videos. ICMV 2023 - [c65]C. Nagaraju, Yenda Ramesh, C. Krishna Mohan:
A data parallel approach for distributed neural networks to achieve faster convergence. ICMV 2023 - [c64]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 - [c63]C. Nagaraju, Mrinmay Sen, C. Krishna Mohan:
Handling Data Heterogeneity in Federated Learning with Global Data Distribution. IMPROVE 2023: 121-125 - [c62]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 - [c61]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 - [c60]Mrinmay Sen, C. Krishna Mohan, A. Kai Qin:
Federated Optimization with Linear-Time Approximated Hessian Diagonal. PReMI 2023: 106-113 - [c59]C. Nagaraju, Mrinmay Sen, C. Krishna Mohan:
FONN: Federated Optimization with Nys-Newton. TENCON 2023: 530-534 - [c58]Jaya Sharma, 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 - [c57]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 - [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
- [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) - [c56]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 - [c55]Jaya Sharma, Peketi Divya, Sravani Yenduri, B. H. Shekar, Chalavadi Krishna Mohan:
Structural representative network for remote sensing image captioning. ICMV 2022 - [c54]B. H. Shekar, Shazia Mannan, Habtu Hailu, C. Krishna Mohan, Linga Reddy Cenkeramaddi:
Performance analysis of deep neural networks for COVID-19 detection from chest radiographs. ICMV 2022 - [c53]Sravani Yenduri, Vishnu Chalavadi, C. Krishna Mohan:
Adaptive spatial and temporal aggregation for table tennis shot recognition. ICMV 2022 - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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) - [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 - [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) - 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) - [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
- [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) - [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
- [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) - [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
- [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) - [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
- [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) - [c4]M. Srinivas, C. Krishna Mohan:
Efficient clustering approach using incremental and hierarchical clustering methods. IJCNN 2010: 1-7
2000 – 2009
- 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
Coauthor Index
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-13 19:14 CET by the dblp team
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