C. Krishna Mohan

Orcid: 0000-0002-7316-0836

Affiliations:
  • Indian Institute of Technology Hyderabad


According to our database1, C. Krishna Mohan authored at least 125 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An integrated approach for prediction of magnitude using deep learning techniques.
Neural Comput. Appl., September, 2024

Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., June, 2024

Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation.
IEEE J. Biomed. Health Informatics, May, 2024

The Impact of Adversarial Attacks on Federated Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet.
Multim. Tools Appl., May, 2024

Monte Carlo DropBlock for modeling uncertainty in object detection.
Pattern Recognit., February, 2024

TSANet: Forecasting traffic congestion patterns from aerial videos using graphs and transformers.
Pattern Recognit., 2024

Adaptive temporal aggregation for table tennis shot recognition.
Neurocomputing, 2024

Learning scene-vectors for remote sensing image scene classification.
Neurocomputing, 2024

Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach.
CoRR, 2024

FAGH: Accelerating Federated Learning with Approximated Global Hessian.
CoRR, 2024

Enhancing Object Detection Accuracy with Variational Autoencoders as a Filter in YOLO.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

High Precision Single Shot Object Detection in Automotive Scenarios.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery using a Cross Semantic Attribute-guided Transformer.
Proceedings of the International Joint Conference on Neural Networks, 2024

Object Detection in Transitional Weather Conditions for Autonomous Vehicles.
Proceedings of the International Joint Conference on Neural Networks, 2024

FL-PSeC: Federated Learning-Pseudo Labeled Medical Image Segmentation with Personalized Class Balancing Semi-supervised Approach.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Does Hard-Negative Contrastive Learning Improve Facial Emotion Recognition?
Proceedings of the 2024 7th International Conference on Machine Vision and Applications, 2024

Improving Unsupervised Domain Adaptation: A Pseudo-candidate Set Approach.
Proceedings of the Computer Vision - ECCV 2024, 2024

Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning.
Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

A Hybrid Embedding for Generalized Zero-Shot Scene Classification in Remote Sensing Images.
Proceedings of the IEEE International Conference on Advanced Video and Signal Based Surveillance, 2024

2023
Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review.
Sensors, November, 2023

Correction to "Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios".
IEEE Robotics Autom. Lett., November, 2023

Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios.
IEEE Robotics Autom. Lett., May, 2023

Incorporating attentive multi-scale context information for image captioning.
Multim. Tools Appl., March, 2023

EVAA - Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles.
IEEE Trans. Geosci. Remote. Sens., 2023

Deformable and Structural Representative Network for Remote Sensing Image Captioning.
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.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

FONN: Federated Optimization with Nys-Newton.
Proceedings of the IEEE Region 10 Conference, 2023

Federated Optimization with Linear-Time Approximated Hessian Diagonal.
Proceedings of the Pattern Recognition and Machine Intelligence, 2023

MADG: Margin-based Adversarial Learning for Domain Generalization.
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.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Handling Data Heterogeneity in Federated Learning with Global Data Distribution.
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.
Proceedings of the International Joint Conference on Neural Networks, 2023

A data parallel approach for distributed neural networks to achieve faster convergence.
Proceedings of the Sixteenth International Conference on Machine Vision, 2023

False positive elimination in object detection methods for videos.
Proceedings of the Sixteenth International Conference on Machine Vision, 2023

Multi-class object classification using deep learning models in automotive object detection scenarios.
Proceedings of the Sixteenth International Conference on Machine Vision, 2023

Multi-Target Classification Using Deep Learning Models for Automotive Applications.
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.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

NOAH: Newton Method of Optimization with Approximated Hessian.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

FopLAHD: Federated Optimization Using Locally Approximated Hessian Diagonal.
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.
IEEE Trans. Intell. Transp. Syst., 2022

AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description.
IEEE Trans. Image Process., 2022

Fine-grained action recognition using dynamic kernels.
Pattern Recognit., 2022

mSODANet: A network for multi-scale object detection in aerial images using hierarchical dilated convolutions.
Pattern Recognit., 2022

ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing.
J. Syst. Archit., 2022

ACLNet: An Attention and Clustering-based Cloud Segmentation Network.
CoRR, 2022

WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects.
Comput. Ind., 2022

M-FFN: multi-scale feature fusion network for image captioning.
Appl. Intell., 2022

Fine-grained Action Recognition using Attribute Vectors.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Aircraft Type Recognition in Remote Sensing Images using Mean Interval Kernel.
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.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive spatial and temporal aggregation for table tennis shot recognition.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Performance analysis of deep neural networks for COVID-19 detection from chest radiographs.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Structural representative network for remote sensing image captioning.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022

Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Residual spatiotemporal autoencoder for unsupervised video anomaly detection.
Signal Image Video Process., 2021

A novel framework for seamless mosaic of Cartosat-1 DEM scenes.
Comput. Geosci., 2021

Monte Carlo DropBlock for Modelling Uncertainty in Object Detection.
CoRR, 2021

Attentive Contextual Network for Image Captioning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Scene Classification in Remote Sensing Images using Dynamic Kernels.
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.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images.
Proceedings of the Fourteenth International Conference on Machine Vision, 2021

Inferring DNN layer-types through a Hardware Performance Counters based Side Channel Attack.
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.
IEEE Trans. Medical Imaging, 2020

Facial Expression Recognition in Videos Using Dynamic Kernels.
IEEE Trans. Image Process., 2020

ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Quantitative Analysis of Facial Paralysis using GMM and Dynamic Kernels.
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.
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.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Defining Traffic States using Spatio-temporal Traffic Graphs.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Expression Modeling Using Dynamic Kernels for Quantitative Assessment of Facial Paralysis.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

Black-box Adversarial Attacks in Autonomous Vehicle Technology.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

2019
Unsupervised Universal Attribute Modeling for Action Recognition.
IEEE Trans. Multim., 2019

Deep Spatio-Temporal Representation for Detection of Road Accidents Using Stacked Autoencoder.
IEEE Trans. Intell. Transp. Syst., 2019

Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
An Information Bottleneck Approach to Optimize the Dictionary of Visual Data.
IEEE Trans. Multim., 2018

Spontaneous Expression Recognition Using Universal Attribute Model.
IEEE Trans. Image Process., 2018

Snatch theft detection in unconstrained surveillance videos using action attribute modelling.
Pattern Recognit. Lett., 2018

Tracking rapid body deformation using sparse representation of deep features.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

Action Recognition Based on Discriminative Embedding of Actions Using Siamese Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Fast-BoW: Scaling Bag-of-Visual-Words Generation.
Proceedings of the British Machine Vision Conference 2018, 2018

Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning.
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.
IEEE Trans. Big Data, 2017

Coherent and Noncoherent Dictionaries for Action Recognition.
IEEE Signal Process. Lett., 2017

Graph formulation of video activities for abnormal activity recognition.
Pattern Recognit., 2017

Human action recognition in RGB-D videos using motion sequence information and deep learning.
Pattern Recognit., 2017

Detection of motorcyclists without helmet in videos using convolutional neural network.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Action-vectors: Unsupervised movement modeling for action recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Classification of human actions using pose-based features and stacked auto encoder.
Pattern Recognit. Lett., 2016

Sparsity-inducing dictionaries for effective action classification.
Pattern Recognit., 2016

Human action recognition using genetic algorithms and convolutional neural networks.
Pattern Recognit., 2016

Hybrid deep neural network model for human action recognition.
Appl. Soft Comput., 2016

Automatic detection of bike-riders without helmet using surveillance videos in real-time.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Visual Big Data Analytics for Traffic Monitoring in Smart City.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Spontaneous Facial Expression Recognition: A Part Based Approach.
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.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Classification of medical images using edge-based features and sparse representation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Palmprint Recognition Based on Minutiae Quadruplets.
Proceedings of International Conference on Computer Vision and Image Processing, 2016

Distributed quadratic programming solver for kernel SVM using genetic algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Content based medical image retrieval using dictionary learning.
Neurocomputing, 2015

Sparsifying Dense Features for Action Classification.
Proceedings of the 2nd International Conference on Perception and Machine Intelligence, 2015

Sparseland model for speckle suppression of B-mode ultrasound images.
Proceedings of the Twenty First National Conference on Communications, 2015

Feature selection using Deep Neural Networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Nearest Neighbor Minutia Quadruplets Based Fingerprint Matching with Reduced Time and Space Complexity.
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.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Multi-level classification: A generic classification method for medical datasets.
Proceedings of the 17th International Conference on E-health Networking, 2015

Sparsity-based Iris Classification using Iris Fiber Structures.
Proceedings of the BIOSIG 2015, 2015

2014
Music genre classification using On-line Dictionary Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Facial Expression Recognition Using Kinect Depth Sensor and Convolutional Neural Networks.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

One-Shot Periodic Activity Recognition Using Convolutional Neural Networks.
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.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Dictionary based action video classification with action bank.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Learning sparse dictionaries for music and speech classification.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Medical images modality classification using multi-scale dictionary learning.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Enhancements to latent fingerprints in forensic applications.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

Human Action Recognition Using Action Bank Features and Convolutional Neural Networks.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

View and Illumination Invariant Object Classification Based on 3D Color Histogram Using Convolutional Neural Networks.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2011
De-noising Slap Fingerprint Images for Accurate Slap Fingerprint Segmentation.
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.
Signal Image Video Process., 2010

Efficient clustering approach using incremental and hierarchical clustering methods.
Proceedings of the International Joint Conference on Neural Networks, 2010

2008
Video Shot Segmentation Using Late Fusion Technique.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007
Edge-based Sports Video Classification using HMM.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

2004
Content-Based Video Classification Using Support Vector Machines.
Proceedings of the Neural Information Processing, 11th International Conference, 2004


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