Evaluation of Segmentation Techniques Using Region Size and Boundary Information. - Debi Prosad Dogra; Arun K. Majumdar; Shamik Sural (PReMI, 2009)

Automatic Adductors Angle Measurement for Neurological Assessment of Post-neonatal Infants during Follow Up. - Debi Prosad Dogra; Arun K. Majumdar; Shamik Sural; Jayanta Mukherjee 001; Suchandra Mukherjee; Arun Kumar Singh (PReMI, 2011)

A Web Enabled Health Information System for the Neonatal Intensive Care Unit (NICU). - Soumendranath Ray; Debi Prosad Dogra; S. Bhattacharya; Bhaskar Saha; Arunava Biswas; Arun K. Majumdar; Jayanta Mukherjee 001; Bandana Majumdar; Arun Kumar Singh; A. Paria; Suchandra Mukherjee; S. Das Bhattacharya (SERVICES, 2011)

A Tool for Automatic Hammersmith Infant Neurological Examination. - Debi Prosad Dogra; Karthik Nandam; Arun K. Majumdar; Shamik Sural; Jayanta Mukhopadhyay; Bandana Majumdar; Arun Kumar Singh; Suchandra Mukherjee (Int. J. E Health Medical Commun., 2011)

Analysis of adductors angle measurement in Hammersmith infant neurological examinations using mean shift segmentation and feature point based object tracking. - Debi Prosad Dogra; Arun K. Majumdar; Shamik Sural; Jayanta Mukherjee 001; Suchandra Mukherjee; A. Singh (Comput. Biol. Medicine, 2012)

Evaluation of segmentation techniques using region area and boundary matching information. - Debi Prosad Dogra; Arun K. Majumdar; Shamik Sural (J. Vis. Commun. Image Represent., 2012)

User Friendly Implementation for Efficiently Conducting Hammersmith Infant Neurological Examination. - Debi Prosad Dogra; Karthik Nandam; Arun K. Majumdar; Shamik Sural; Jayanta Mukhopadhyay; Bandana Majumdar; Arun Kumar Singh; Suchandra Mukherjee (CoRR, 2014)

Video analysis of Hammersmith lateral tilting examination using Kalman filter guided multi-path tracking. - Debi Prosad Dogra; Vishal Badri; Arun K. Majumdar; Shamik Sural; Jayanta Mukherjee 001; Suchandra Mukherjee; Arun Kumar Singh (Medical Biol. Eng. Comput., 2014)

Segmentation and recognition of text written in 3D using Leap motion interface. - Chelsi Agarwal; Debi Prosad Dogra; Rajkumar Saini; Partha Pratim Roy 001 (ACPR, 2015)

Contactless vision-based pulse rate detection of Infants Under Neurological Examinations. - Arindam Sikdar; Santosh Kumar Behera; Debi Prosad Dogra; Harish Bhaskar (EMBC, 2015)

Handwritten text recognition in Odia script using Hidden Markov Model. - Suman Bhoi; Debi Prosad Dogra; Partha Pratim Roy 001 (NCVPRIPG, 2015)

Interest Area Localization using Trajectory Analysis in Surveillance Scenes. - Debi Prosad Dogra; Arif Ahmed 002; Harish Bhaskar (VISAPP (2), 2015)

Scene Representation and Anomalous Activity Detection using Weighted Region Association Graph. - Debi Prosad Dogra; Rohit Desam Reddy; K. S. Subramanyam; Arif Ahmed 002; Harish Bhaskar (VISAPP (2), 2015)

Autonomous detection and tracking under illumination changes, occlusions and moving camera. - Harish Bhaskar; Kartik Dwivedi; Debi Prosad Dogra; Mohammed E. Al-Mualla; Lyudmila Mihaylova (Signal Process., 2015)

Posture Recognition in HINE Exercises. - Abdul Fatir Ansari; Partha Pratim Roy 001; Debi Prosad Dogra (CVIP (2), 2016)

On-line Gesture Based User Authentication System Robust to Shoulder Surfing. - Suman Bhoi; Debi Prosad Dogra; Partha Pratim Roy 001 (CVIP (2), 2016)

Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning. - Rajkumar Saini; Arif Ahmed 002; Debi Prosad Dogra; Partha Pratim Roy 001 (CVIP (1), 2016)

Classification of Object Trajectories Represented by High-Level Features Using Unsupervised Learning. - Rajkumar Saini; Arif Ahmed 002; Debi Prosad Dogra; Partha Pratim Roy 001 (CVIP (1), 2016)

Autonomous vision-guided approach for the analysis and grading of vertical suspension tests during Hammersmith Infant Neurological Examination (HINE). - Prasenjit Dey; Debi Prosad Dogra; Partha Pratim Roy 001; Harish Bhaskar (EMBC, 2016)

Classification of head movement patterns to aid patients undergoing home-based cervical spine rehabilitation. - K. M. Vamsikrishna; Debi Prosad Dogra; Harish Bhaskar (ICASSP, 2016)

Smart video summarization using mealy machine-based trajectory modelling for surveillance applications. - Debi Prosad Dogra; Arif Ahmed 002; Harish Bhaskar (Multim. Tools Appl., 2016)

Computer-Vision-Assisted Palm Rehabilitation With Supervised Learning. - K. M. Vamsikrishna; Debi Prosad Dogra; Maunendra Sankar Desarkar (IEEE Trans. Biomed. Eng., 2016)

Gait Analysis Using Shadow Motion. - Pradeep Kumar 002; Rajkumar Saini; Chaitanya Sai Tumma; Partha Pratim Roy 001; Debi Prosad Dogra (ACPR, 2017)

Extraction of Long-Duration Moving Object Trajectories from Curtailed Tracks. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (CVIP (2), 2017)

Characterization of Dense Crowd Using Gibbs Entropy. - Shreetam Behera; Debi Prosad Dogra; Partha Pratim Roy 001 (CVIP (2), 2017)

Natural Language Description of Surveillance Events. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (ICITAM, 2017)

Video synopsis generation using spatio-temporal groups. - Arif Ahmed 002; Samarjit Kar; Debi Prosad Dogra; Renuka Patnaik; S. Lee; Heeseung Choi; I. Kim (ICSIPA, 2017)

Real-time recognition of sign language gestures and air-writing using leap motion. - Pradeep Kumar 002; Rajkumar Saini; Santosh Kumar Behera; Debi Prosad Dogra; Partha Pratim Roy 001 (MVA, 2017)

Fast signature spotting in continuous air writing. - Santosh Kumar Behera; Pradeep Kumar 002; Debi Prosad Dogra; Partha Pratim Roy 001 (MVA, 2017)

A multimodal framework for sensor based sign language recognition. - Pradeep Kumar 002; Himaanshu Gauba; Partha Pratim Roy 001; Debi Prosad Dogra (Neurocomputing, 2017)

Plant Disease Identification using Deep Neural Networks. - Subham Mukherjee; Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (J. Multim. Inf. Syst., 2017)

Fight Detection in Hockey Videos using Deep Network. - Subham Mukherjee; Rajkumar Saini; Pradeep Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (J. Multim. Inf. Syst., 2017)

A bio-signal based framework to secure mobile devices. - Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (J. Netw. Comput. Appl., 2017)

Localization of region of interest in surveillance scene. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Byung-Gyu Kim; Paul R. Hill; Harish Bhaskar (Multim. Tools Appl., 2017)

3D text segmentation and recognition using leap motion. - Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Multim. Tools Appl., 2017)

Analysis of EEG signals and its application to neuromarketing. - Mahendra Yadava; Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Multim. Tools Appl., 2017)

Prediction of advertisement preference by fusing EEG response and sentiment analysis. - Himaanshu Gauba; Pradeep Kumar 002; Partha Pratim Roy 001; Priyanka Singh; Debi Prosad Dogra; Balasubramanian Raman (Neural Networks, 2017)

Coupled HMM-based multi-sensor data fusion for sign language recognition. - Pradeep Kumar 002; Himaanshu Gauba; Partha Pratim Roy 001; Debi Prosad Dogra (Pattern Recognit. Lett., 2017)

Moving object detection using modified temporal differencing and local fuzzy thresholding. - Nihal Paul; Ashish Singh; Abhishek Midya; Partha Pratim Roy 001; Debi Prosad Dogra (J. Supercomput., 2017)

Air Signature Recognition Using Deep Convolutional Neural Network-Based Sequential Model. - Santosh Kumar Behera; Ajaya Kumar Dash; Debi Prosad Dogra; Partha Pratim Roy 001 (ICPR, 2018)

Summarization of videos by analyzing affective state of the user through crowdsource. - Ashish Singhal; Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (Cogn. Syst. Res., 2018)

Dynamic Trajectory Model for Analysis of Traffic States using DPMM. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Bidyut Baran Chaudhuri (CoRR, 2018)

Temporal Unknown Incremental Clustering (TUIC) Model for Analysis of Traffic Surveillance Videos. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001 (CoRR, 2018)

PlutoAR: An Inexpensive, Interactive And Portable Augmented Reality Based Interpreter For K-10 Curriculum. - Shourya Pratap Singh; Ankit Kumar Panda; Susobhit Panigrahi; Ajaya Kumar Dash; Debi Prosad Dogra (CoRR, 2018)

Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Adway Mitra (CoRR, 2018)

A pervasive electroencephalography-based person authentication system for cloud environment. - Pradeep Kumar 002; Ashish Singhal; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Displays, 2018)

Designing of marker-based augmented reality learning environment for kids using convolutional neural network architecture. - Ajaya Kumar Dash; Santosh Kumar Behera; Debi Prosad Dogra; Partha Pratim Roy 001 (Displays, 2018)

deepGesture: Deep learning-based gesture recognition scheme using motion sensors. - Ji-Hae Kim; Gwang-Soo Hong; Byung-Gyu Kim; Debi Prosad Dogra (Displays, 2018)

Surveillance scene representation and trajectory abnormality detection using aggregation of multiple concepts. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (Expert Syst. Appl., 2018)

Fast recognition and verification of 3D air signatures using convex hulls. - Santosh Kumar Behera; Debi Prosad Dogra; Partha Pratim Roy 001 (Expert Syst. Appl., 2018)

A segmental HMM based trajectory classification using genetic algorithm. - Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Expert Syst. Appl., 2018)

A novel framework of continuous human-activity recognition using Kinect. - Rajkumar Saini; Pradeep Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra (Neurocomputing, 2018)

Independent Bayesian classifier combination based sign language recognition using facial expression. - Pradeep Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra (Inf. Sci., 2018)

A Survey of Real-time Road Detection Techniques Using Visual Color Sensor. - Gwang-Soo Hong; Byung-Gyu Kim; Debi Prosad Dogra; Partha Pratim Roy 001 (J. Multim. Inf. Syst., 2018)

A position and rotation invariant framework for sign language recognition (SLR) using Kinect. - Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Multim. Tools Appl., 2018)

Analysis of 3D signatures recorded using leap motion sensor. - Santosh Kumar Behera; Debi Prosad Dogra; Partha Pratim Roy 001 (Multim. Tools Appl., 2018)

Motion anomaly detection and trajectory analysis in visual surveillance. - Manaswi Chebiyyam; Rohit Desam Reddy; Debi Prosad Dogra; Harish Bhaskar; Lyudmila Mihaylova (Multim. Tools Appl., 2018)

Exercise classification and event segmentation in Hammersmith Infant Neurological Examination videos. - Abdul Fatir Ansari; Partha Pratim Roy 001; Debi Prosad Dogra (Mach. Vis. Appl., 2018)

Envisioned speech recognition using EEG sensors. - Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Pawan Kumar Sahu; Debi Prosad Dogra (Pers. Ubiquitous Comput., 2018)

Unsupervised classification of erroneous video object trajectories. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (Soft Comput., 2018)

Robustness Analysis of Motion Sensor Guided Air Authentication System. - Santosh Kumar Behera; Suman Bhoi; Debi Prosad Dogra; Partha Pratim Roy 001 (IEEE Trans. Consumer Electron., 2018)

ViTag: Automatic Video Tagging Using Segmentation and Conceptual Inference. - Abhishek A. Patwardhan; Santanu Das; Sakshi Varshney; Maunendra Sankar Desarkar; Debi Prosad Dogra (BigMM, 2019)

Natural Gestures to Interact with 3D Virtual Objects using Deep Learning Framework. - Suraj Tripathy; Rohan Sahoo; Ajaya Kumar Dash; Debi Prosad Dogra (TENCON, 2019)

Visual rendering of shapes on 2D display devices guided by hand gestures. - Abhik Singla; Partha Pratim Roy 001; Debi Prosad Dogra (Displays, 2019)

Queuing theory guided intelligent traffic scheduling through video analysis using Dirichlet process mixture model. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001 (Expert Syst. Appl., 2019)

Computer vision-guided intelligent traffic signaling for isolated intersections. - Santhosh Kelathodi Kumaran; Shrohan Mohapatra; Debi Prosad Dogra; Partha Pratim Roy 001; Byung-Gyu Kim (Expert Syst. Appl., 2019)

Fingertip detection and tracking for recognition of air-writing in videos. - Sohom Mukherjee; Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (Expert Syst. Appl., 2019)

Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. - Rajkumar Saini; Pradeep Kumar 002; Barjinder Kaur; Partha Pratim Roy 001; Debi Prosad Dogra; KC Santosh (Int. J. Mach. Learn. Cybern., 2019)

Likelihood learning in modified Dirichlet Process Mixture Model for video analysis. - Santhosh Kelathodi Kumaran; Adyasha Chakravarty; Debi Prosad Dogra; Partha Pratim Roy 001 (Pattern Recognit. Lett., 2019)

Recognizing gender from human facial regions using genetic algorithm. - Avirup Bhattacharyya; Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra; Samarjit Kar (Soft Comput., 2019)

Trajectory-Based Surveillance Analysis: A Survey. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (IEEE Trans. Circuits Syst. Video Technol., 2019)

Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm. - Pradeep Kumar 002; Subham Mukherjee; Rajkumar Saini; Pallavi Kaushik; Partha Pratim Roy 001; Debi Prosad Dogra (IEEE Trans. Fuzzy Syst., 2019)

Temporal Unknown Incremental Clustering Model for Analysis of Traffic Surveillance Videos. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001 (IEEE Trans. Intell. Transp. Syst., 2019)

A novel point-line duality feature for trajectory classification. - Rajkumar Saini; Partha Pratim Roy 001; Debi Prosad Dogra (Vis. Comput., 2019)

Characterization of Orderly Behavior of Human Crowd in Videos Using Deep Learning. - Shreetam Behera; Shaily Preetham Kurra; Debi Prosad Dogra (ICIS, 2020)

Segmentation and Visualization of Crowd Flows in Videos using Hybrid Force Model. - Shreetam Behera; Debi Prosad Dogra; Malay Kumar Bandyopadhyay; Partha Pratim Roy 001 (VISIGRAPP (4: VISAPP), 2020)

EEG-based mental workload estimation using deep BLSTM-LSTM network and evolutionary algorithm. - Debashis Das Chakladar; Shubhashis Dey; Partha Pratim Roy 001; Debi Prosad Dogra (Biomed. Signal Process. Control., 2020)

ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (Cogn. Syst. Res., 2020)

Understanding Crowd Flow Movements Using Active-Langevin Model. - Shreetam Behera; Debi Prosad Dogra; Malay Kumar Bandyopadhyay; Partha Pratim Roy 001 (CoRR, 2020)

Estimation of linear motion in dense crowd videos using Langevin model. - Shreetam Behera; Debi Prosad Dogra; Malay Kumar Bandyopadhyay; Partha Pratim Roy 001 (Expert Syst. Appl., 2020)

Person Re-identification in Videos by Analyzing Spatio-temporal Tubes. - Arif Ahmed 002; Debi Prosad Dogra; Heeseung Choi; Seungho Chae; Ig-Jae Kim (Multim. Tools Appl., 2020)

Retrieval of colour and texture images using local directional peak valley binary pattern. - Srishti Gupta; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (Pattern Anal. Appl., 2020)

Can we automate diagrammatic reasoning? - Arif Ahmed 002; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (Pattern Recognit., 2020)

Video trajectory analysis using unsupervised clustering and multi-criteria ranking. - Arif Ahmed 002; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001 (Soft Comput., 2020)

Query-Based Video Synopsis for Intelligent Traffic Monitoring Applications. - Sk. Arif Ahmed; Debi Prosad Dogra; Samarjit Kar; Renuka Patnaik; Seung-Cheol Lee; Heeseung Choi; Gi Pyo Nam; Ig-Jae Kim (IEEE Trans. Intell. Transp. Syst., 2020)

PIDLNet: A Physics-Induced Deep Learning Network for Characterization of Crowd Videos. - Shreetam Behera; Thakare Kamalakar Vijay; H. Manish Kausik; Debi Prosad Dogra (AVSS, 2021)

Anomaly Detection in Road Traffic Using Visual Surveillance: A Survey. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001 (ACM Comput. Surv., 2021)

A multimodal-Siamese Neural Network (mSNN) for person verification using signatures and EEG. - Debashis Das Chakladar; Pradeep Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra; Erik J. Scheme; Victor Chang 001 (Inf. Fusion, 2021)

Logo detection using weakly supervised saliency map. - Gautam Kumar; Prateek Keserwani; Partha Pratim Roy 001; Debi Prosad Dogra (Multim. Tools Appl., 2021)

Understanding crowd flow patterns using active-Langevin model. - Shreetam Behera; Debi Prosad Dogra; Malay Kumar Bandyopadhyay; Partha Pratim Roy 001 (Pattern Recognit., 2021)

Ornament Image Retrieval Using Multimodal Fusion. - Sk Maidul Islam; Subhankar Joardar; Debi Prosad Dogra; Arif Ahmed Sekh (SN Comput. Sci., 2021)

A Survey on Neuromarketing Using EEG Signals. - Vaishali Khurana; Monika Gahalawat; Pradeep Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra; Erik J. Scheme; Mohammad Soleymani 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

A Robust Biometric Authentication System for Handheld Electronic Devices by Intelligently Combining 3D Finger Motions and Cerebral Responses. - Santosh Kumar Behera; Pradeep Kumar 002; Debi Prosad Dogra; Partha Pratim Roy 001 (IEEE Trans. Consumer Electron., 2021)

Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Bidyut Baran Chaudhuri (IEEE Trans. Cybern., 2021)

Solving Diagrammatic Reasoning Problems Using Deep Learning. - Himanshu Choudhary; Debi Prosad Dogra; Arif Ahmed Sekh (CVIP (2), 2022)

Patch Level Segmentation and Visualization of Capsule Network Inference for Breast Metastases Detection. - Malviya Dutta Richa; Sk. Arif Ahmed; Debi Prosad Dogra; Pranab K. Dan (SPCOM, 2022)

Efficacy of Transformer Networks for Classification of Raw EEG Data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (CoRR, 2022)

Topic-based Video Analysis: A Survey. - Ratnabali Pal; Arif Ahmed Sekh; Debi Prosad Dogra; Samarjit Kar; Partha Pratim Roy 001; Dilip K. Prasad (ACM Comput. Surv., 2022)

Person re-identification in indoor videos by information fusion using Graph Convolutional Networks. - Komal Soni; Debi Prosad Dogra; Arif Ahmed Sekh; Samarjit Kar; Heeseung Choi; Ig-Jae Kim (Expert Syst. Appl., 2022)

A multi-stream deep neural network with late fuzzy fusion for real-world anomaly detection. - Kamalakar Vijay Thakare; Nitin Sharma 004; Debi Prosad Dogra; Heeseung Choi; Ig-Jae Kim (Expert Syst. Appl., 2022)

Video based exercise recognition and correct pose detection. - Tushar Rangari; Sudhanshu Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (Multim. Tools Appl., 2022)

Vehicular Trajectory Classification and Traffic Anomaly Detection in Videos Using a Hybrid CNN-VAE Architecture. - Santhosh Kelathodi Kumaran; Debi Prosad Dogra; Partha Pratim Roy 001; Adway Mitra (IEEE Trans. Intell. Transp. Syst., 2022)

Object Interaction-Based Localization and Description of Road Accident Events Using Deep Learning. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (IEEE Trans. Intell. Transp. Syst., 2022)

Effect of Migrant Labourer Inflow on the Early Spread of Covid-19 in Odisha: A Case Study. - Shreetam Behera; Debi Prosad Dogra; Manoranjan Satpathy (ACM Trans. Spatial Algorithms Syst., 2022)

DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network. - Kamalakar Vijay Thakare; Yash Raghuwanshi; Debi Prosad Dogra; Heeseung Choi; Ig-Jae Kim (WACV, 2023)

A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications. - Sudhanshu Kumar 002; Partha Pratim Roy 001; Debi Prosad Dogra; Byung-Gyu Kim (CoRR, 2023)

Detection of Road Accidents Using Synthetically Generated Multi-Perspective Accident Videos. - Thakare Kamalakar Vijay; Debi Prosad Dogra; Heeseung Choi; Gi Pyo Nam; Ig-Jae Kim (IEEE Trans. Intell. Transp. Syst., 2023)

Crowd Characterization in Surveillance Videos Using Deep-Graph Convolutional Neural Network. - Shreetam Behera; Debi Prosad Dogra; Malay Kumar Bandyopadhyay; Partha Pratim Roy 001 (IEEE Trans. Cybern., 2023)

RareAnom: A Benchmark Video Dataset for Rare Type Anomalies. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (Pattern Recognit., 2023)

Pedestrian Attribute Recognition Using Hierarchical Transformers. - Lalit Lohani; Kamalakar Vijay Thakare; Kamakshya Prasad Nayak; Debi Prosad Dogra; Heeseung Choi; Hyungjoo Jung; Ig-Jae Kim (ICPR (16), 2024)

Prediction of Urban Traffic Patterns by Analyzing Real-World Videos Using Clustering and Markov Model. - Arabinda Panda; Debi Prosad Dogra; Partha Pratim Dey (ICPR (Workshops and Challenges, 6), 2024)

Extracting Vitals from ICU Monitor Images: An Insight from Analysis of 10K Patient Data. - Akshat Rampuria; Kushagra Khare; Ayush Soni; Debi Prosad Dogra (ICPR (12), 2024)

Unsupervised Annotation and Detection of Novel Objects Using Known Objectness. - Harsh Singh Jadon; Jagdish Deshmukh; Kamakshya Prasad Nayak; Kamalakar Vijay Thakare; Debi Prosad Dogra (VISIGRAPP (2): VISAPP, 2024)

Let's Observe Them Over Time: An Improved Pedestrian Attribute Recognition Approach. - Kamalakar Vijay Thakare; Debi Prosad Dogra; Heeseung Choi; Haksub Kim; Ig-Jae Kim (WACV, 2024)

PlutoAR: a scalable marker-based augmented reality application for interactive and inclusive education. - Ajaya Kumar Dash; Santosh Kumar Behera; Debi Prosad Dogra (Multim. Tools Appl., 2024)

Efficacy of transformer networks for classification of EEG data. - Gourav Siddhad; Anmol Gupta; Debi Prosad Dogra; Partha Pratim Roy 001 (Biomed. Signal Process. Control., 2024)

Interactions with 3D virtual objects in augmented reality using natural gestures. - Ajaya Kumar Dash; Koniki Venkata Balaji; Debi Prosad Dogra; Byung-Gyu Kim (Vis. Comput., 2024)

CLIPping Imbalances: A Novel Evaluation Baseline and PEARL Dataset for Pedestrian Attribute Recognition. - Kamalakar Vijay Thakare; Lalit Lohani; Kamakshya Prasad Nayak; Debi Prosad Dogra; Heeseung Choi; Hyungjoo Jung; Ig-Jae Kim (WACV, 2025)

Feature reweighting for EEG-based motor imagery classification. - Taveena Lotey; Prateek Keserwani; Debi Prosad Dogra; Partha Pratim Roy 001 (Biomed. Signal Process. Control., 2025)

A Comprehensive Review on Group Re-identification in Surveillance Videos. - Kamakshya Prasad Nayak; Debi Prosad Dogra (ACM Comput. Surv., 2025)