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)

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)

On the applicability of diploid genetic algorithms in dynamic environments. - Harsh Bhasin; Gitanshu Behal; Nimish Aggarwal; Rajkumar Saini; Shivani Choudhary (Soft Comput., 2016)

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

An Efficient Approach for Recognition and Verification of On-Line Signatures Using PSO. - Saikat Dutta 002; Rajkumar Saini; Pradeep Kumar 002; Partha Pratim Roy 001 (ACPR, 2017)

Local Behavior Analysis for Trajectory Classification Using Graph Embedding. - Rajkumar Saini; Pradeep Kumar 002; Saikat Dutta 002; Partha Pratim Roy 001; Umapada Pal 001 (ACPR, 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)

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)

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)

Trajectory Classification Using Feature Selection by Genetic Algorithm. - Rajkumar Saini; Pradeep Kumar 002; Partha Pratim Roy 001; Umapada Pal 001 (CVIP (2), 2018)

EEG based word familiarity using features and frequency bands combination. - Vaishali Khurana; Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001 (Cogn. Syst. Res., 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)

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)

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)

Don't just sign use brain too: A novel multimodal approach for user identification and verification. - Rajkumar Saini; Barjinder Kaur; Priyanka Singh; Pradeep Kumar 002; Partha Pratim Roy 001; Balasubramanian Raman; Dinesh Singh (Inf. Sci., 2018)

Tracking Players in Broadcast Sports. - Kandregula Manikanta Sudeep; Voddapally Amarnath; Angoth Rahul Pamaar; Kanjar De; Rajkumar Saini; 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)

Frame selection for OCR from video stream of book flipping. - Dibyayan Chakraborty; Partha Pratim Roy 001; Rajkumar Saini; José M. Álvarez 004; Umapada Pal 001 (Multim. Tools Appl., 2018)

A lexicon-free approach for 3D handwriting recognition using classifier combination. - Pradeep Kumar 002; Rajkumar Saini; Partha Pratim Roy 001; Umapada Pal 001 (Pattern Recognit. Lett., 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)

TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (FIRE (Working Notes), 2019)

Trilingual 3D Script Identification and Recognition using Leap Motion Sensor. - Rajkumar Saini; Pradeep Kumar 002; Shweta Patidar; Partha Pratim Roy 001; Marcus Liwicki (WML@ICDAR, 2019)

ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. - Rajkumar Saini; Derek Dobson; Jon Morrey; Marcus Liwicki; Foteini Simistira Liwicki (ICDAR, 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)

Fusion of Neuro-Signals and Dynamic Signatures for Person Authentication. - Pradeep Kumar 002; Rajkumar Saini; Barjinder Kaur; Partha Pratim Roy 001; Erik J. Scheme (Sensors, 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)

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)

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

Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning. - Sumit Rakesh; Saleha Javed; Rajkumar Saini; Marcus Liwicki (CVIP (2), 2020)

TheNorth @ HaSpeeDe 2: BERT-based Language Model Fine-tuning for Italian Hate Speech Detection (short paper). - Eric Lavergne; Rajkumar Saini; György Kovács; Killian Murphy (EVALITA, 2020)

TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (SemEval@COLING, 2020)

Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset. - Pedro Alonso; Rajkumar Saini; György Kovács 001 (SPECOM, 2020)

Imagined Object Recognition Using EEG-Based Neurological Brain Signals. - Rajkumar Saini; Sameer Prabhu; Richa Upadhyay; Sumit Rakesh; Prakash Chandra Chhipa; Hamam Mokayed; Marcus Liwicki; Foteini Liwicki (RTIP2R, 2021)

Quadbox: Quadrilateral Bounding Box Based Scene Text Detection Using Vector Regression. - Prateek Keserwani; Ankit Dhankhar; Rajkumar Saini; Partha Pratim Roy 001 (IEEE Access, 2021)

Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic. - Hamam Mokayed; Palaiahnakote Shivakumara; Rajkumar Saini; Marcus Liwicki; Loo Chee Hin; Umapada Pal 001 (IEEE Access, 2021)

Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. - Richa Upadhyay; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (CoRR, 2021)

3D word spotting using leap motion sensor. - Partha Pratim Roy 001; Pradeep Kumar 002; Shweta Patidar; Rajkumar Saini (Multim. Tools Appl., 2021)

Modeling local and global behavior for trajectory classification using graph based algorithm. - Rajkumar Saini; Pradeep Kumar 002; Partha Pratim Roy 001; Umapada Pal 001 (Pattern Recognit. Lett., 2021)

Challenges of Hate Speech Detection in Social Media. - György Kovács 001; Pedro Alonso; Rajkumar Saini (SN Comput. Sci., 2021)

Emotions Classification Using EEG in Health Care. - Sumit Rakesh; Foteini Liwicki; Hamam Mokayed; Richa Upadhyay; Prakash Chandra Chhipa; Vibha Gupta; Kanjar De; György Kovács 001; Dinesh Singh; Rajkumar Saini (CVMI, 2022)

Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. - Prakash Chandra Chhipa; Richa Upadhyay; Rajkumar Saini; Lars Lindqvist; Richard Nordenskjöld; Seiichi Uchida; Marcus Liwicki (ECCV Workshops (7), 2022)

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning. - Sachi Pandey; Vikas Chouhan; Devanshi Verma; Shubham Rajrah; Fayadh Alenezi; Rajkumar Saini; KC Santosh (IEEE Access, 2022)

Leveraging external resources for offensive content detection in social media. - György Kovács 001; Pedro Alonso; Rajkumar Saini; Marcus Liwicki (AI Commun., 2022)

Robust Scene Text Detection for Partially Annotated Training Data. - Prateek Keserwani; Rajkumar Saini; Marcus Liwicki; Partha Pratim Roy 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? - Prakash Chandra Chhipa; Johan Rodahl Holmgren; Kanjar De; Rajkumar Saini; Marcus Liwicki (ICCV (Workshops), 2023)

ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. - Yejing Xie; Harold Mouchère; Foteini Simistira Liwicki; Sumit Rakesh; Rajkumar Saini; Masaki Nakagawa; Cuong Tuan Nguyen; Thanh-Nghia Truong (ICDAR (2), 2023)

Functional Knowledge Transfer with Self-supervised Representation Learning. - Prakash Chandra Chhipa; Muskaan Chopra; Gopal Mengi; Varun Gupta 005; Richa Upadhyay; Meenakshi Subhash Chippa; Kanjar De; Rajkumar Saini; Seiichi Uchida; Marcus Liwicki (ICIP, 2023)

Multi-Task Meta Learning: learn how to adapt to unseen tasks. - Richa Upadhyay; Prakash Chandra Chhipa; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (IJCNN, 2023)

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. - Prakash Chandra Chhipa; Richa Upadhyay; Gustav Grund Pihlgren; Rajkumar Saini; Seiichi Uchida; Marcus Liwicki (WACV, 2023)

A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. - Gustav Grund Pihlgren; Konstantina Nikolaidou; Prakash Chandra Chhipa; Nosheen Abid; Rajkumar Saini; Fredrik Sandin; Marcus Liwicki (CoRR, 2023)

Robust and Fast Vehicle Detection using Augmented Confidence Map. - Hamam Mokayed; Palaiahnakote Shivakumara; Lama Alkhaled; Rajkumar Saini; Muhammad Zeshan Afzal; Yan Chai Hum; Marcus Liwicki (CoRR, 2023)

Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. - Holly Wilson; Scott Wellington; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Mohammad Golbabaee; et al. (CoRR, 2023)

Study of AI-Driven Fashion Recommender Systems. - Shaghayegh Shirkhani; Hamam Mokayed; Rajkumar Saini; Yan Chai Hum (SN Comput. Sci., 2023)

ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. - Yejing Xie; Harold Mouchère; Foteini Simistira Liwicki; Sumit Rakesh; Rajkumar Saini; Masaki Nakagawa; Cuong Tuan Nguyen; Thanh-Nghia Truong (Zenodo, 2023)

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion. - Meenakshi Subhash Chippa; Prakash Chandra Chhipa; Kanjar De; Marcus Liwicki; Rajkumar Saini (ACCV (8), 2024)

Less is More - Towards parsimonious multi-task models using structured sparsity. - Richa Upadhyay; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (CPAL, 2024)

Möbius Transform for Mitigating Perspective Distortions in Representation Learning. - Prakash Chandra Chhipa; Meenakshi Subhash Chippa; Kanjar De; Rajkumar Saini; Marcus Liwicki; Mubarak Shah (ECCV (73), 2024)

Open-Vocabulary Object Detectors: Robustness Challenges Under Distribution Shifts. - Prakash Chandra Chhipa; Kanjar De; Meenakshi Subhash Chippa; Rajkumar Saini; Marcus Liwicki (ECCV Workshops (18), 2024)

Giving Each Task what it Needs Leveraging Structured Sparsity for Tailored Multi-Task Learning. - Richa Upadhyay; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (ECCV Workshops (11), 2024)

Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data. - Scott Wellington; Holly Wilson; Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Nosheen Abid; Sumit Rakesh; Johan Gunnar Eriksson; Oliver Watts; Xi Chen; Damien Coyle; et al. (EMBC, 2024)

An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features. - Rajkumar Saini; Richa Upadhyay; Vibha Gupta; Prakash Chandra Chhipa; Sumit Rakesh; Hamam Mokayed; Kanjar De; Foteini Simistira Liwicki; Debashis Das Chakladar (ICFSP, 2024)

Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer. - Debashis Das Chakladar; Anand Shankar; Foteini Liwicki; Shovan Barma; Rajkumar Saini (ICPR (11), 2024)

Vehicle Detection Performance in Nordic Region. - Hamam Mokayed; Rajkumar Saini; Oluwatosin Adewumi; Lama Alkhaled; Björn Backe; Palaiahnakote Shivakumara; Olle Hagner; Yan Chai Hum (ICPR (22), 2024)

SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders. - Debashis Das Chakladar; Foteini Simistira Liwicki; Rajkumar Saini (MICCAI (2), 2024)

Fast&Focused-Net: Enhancing Small Object Encoding With VDP Layer in Deep Neural Networks. - Tofik Ali; Partha Pratim Roy 001; Rajkumar Saini (IEEE Access, 2024)

Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model. - Shrey Singh; Prateek Keserwani; Partha Pratim Roy 001; Rajkumar Saini (IEEE Access, 2024)

Sharing to Learn and Learning to Share; Fitting Together Meta, Multi-Task, and Transfer Learning: A Meta Review. - Richa Upadhyay; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (IEEE Access, 2024)

Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. - Prakash Chandra Chhipa; Kanjar De; Meenakshi Subhash Chippa; Rajkumar Saini; Marcus Liwicki (CoRR, 2024)

Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method. - Ashish Ranjan Mishra; Rakesh Kumar 008; Rajkumar Saini (J. Univers. Comput. Sci., 2024)

ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks. - Prakash Chandra Chhipa; Gautam Vashishtha; Settur Jithamanyu; Rajkumar Saini; Mubarak Shah; Marcus Liwicki (ICLR, 2025)

Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning. - Richa Upadhyay; Ronald Phlypo; Rajkumar Saini; Marcus Liwicki (CoRR, 2025)