Rajkumar Saini

91 papers A* 1A 2B 2Misc 1Journal 56Unranked 29
YearRankTypeTitle / Venue / Authors
2025 A* conf
ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks.
ICLR
Prakash Chandra Chhipa, Gautam Vashishtha, Settur Jithamanyu, Rajkumar Saini, Mubarak Shah, Marcus Liwicki
2025 J jnl
DeepV-Net: A Deep Learning Technique for Multimodal Biometric Authentication Using EEG Signals and Handwritten Signatures.
J. Univers. Comput. Sci.
Ashish Ranjan Mishra, Rakesh Kumar, Rajkumar Saini
2025 J jnl
Meta-Sparsity: Learning Optimal Sparse Structures in Multi-task Networks through Meta-learning.
CoRR
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2025 J jnl
Modified TSception for Analyzing Driver Drowsiness and Mental Workload from EEG.
CoRR
Gourav Siddhad, Anurag Singh, Rajkumar Saini, Partha Pratim Roy
2024 — conf
An EEG Analysis Framework for Brain Disorder Classification Using Convolved Connectivity Features.
ICFSP
Rajkumar Saini, Richa Upadhyay, Vibha Gupta, Prakash Chandra Chhipa, Sumit Rakesh, Hamam Mokayed, Kanjar De, Foteini Simistira Liwicki, Debashis Das Chakladar
2024 — conf
Attention Dynamics: Estimating Attention Levels of ADHD using Swin Transformer.
ICPR (11)
Debashis Das Chakladar, Anand Shankar, Foteini Liwicki, Shovan Barma, Rajkumar Saini
2024 J jnl
Better Skeleton Better Readability: Scene Text Image Super-Resolution via Skeleton-Aware Diffusion Model.
IEEE Access
Shrey Singh, Prateek Keserwani, Partha Pratim Roy, Rajkumar Saini
2024 — conf
Detection of Hate Speech using Universal Sentence Encoding and Bidirectional Long Short-Term Memory Models.
FIRE (Working Notes)
Pedro Alonso, György Kovács, Rajkumar Saini, Marcus Liwicki
2024 J jnl
Fast&Focused-Net: Enhancing Small Object Encoding With VDP Layer in Deep Neural Networks.
IEEE Access
Tofik Ali, Partha Pratim Roy, Rajkumar Saini
2024 — conf
Giving Each Task what it Needs Leveraging Structured Sparsity for Tailored Multi-Task Learning.
ECCV Workshops (11)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024 J jnl
Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning.
CoRR
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024 — conf
Improving inner speech decoding by hybridisation of bimodal EEG and fMRI data.
EMBC
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, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2024 J jnl
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts.
CoRR
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki
2024 — conf
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion.
ACCV (8)
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
2024 J jnl
LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion.
CoRR
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
2024 — conf
Less is More - Towards parsimonious multi-task models using structured sparsity.
CPAL
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024 — conf
Möbius Transform for Mitigating Perspective Distortions in Representation Learning.
ECCV (73)
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
2024 J jnl
Möbius Transform for Mitigating Perspective Distortions in Representation Learning.
CoRR
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
2024 — conf
Open-Vocabulary Object Detectors: Robustness Challenges Under Distribution Shifts.
ECCV Workshops (18)
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki
2024 J jnl
Performance Enhancement of EEG Signatures for Person Authentication Using CNN BiLSTM Method.
J. Univers. Comput. Sci.
Ashish Ranjan Mishra, Rakesh Kumar, Rajkumar Saini
2024 J jnl
Sharing to Learn and Learning to Share; Fitting Together Meta, Multi-Task, and Transfer Learning: A Meta Review.
IEEE Access
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2024 — conf
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders.
MICCAI (2)
Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini
2024 J jnl
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders.
CoRR
Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini
2024 — conf
Vehicle Detection Performance in Nordic Region.
ICPR (22)
Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Björn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum
2024 J jnl
Vehicle Detection Performance in Nordic Region.
CoRR
Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Björn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum
2023 J jnl
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.
CoRR
Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki
2023 — conf
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
ICCV (Workshops)
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
2023 J jnl
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions?
CoRR
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
2023 B conf
Functional Knowledge Transfer with Self-supervised Representation Learning.
ICIP
Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023 J jnl
Functional Knowledge Transfer with Self-supervised Representation Learning.
CoRR
Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023 — conf
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions.
ICDAR (2)
Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong
2023 J jnl
Less is More - Towards parsimonious multi-task models using structured sparsity.
CoRR
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2023 A conf
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.
WACV
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2023 B conf
Multi-Task Meta Learning: learn how to adapt to unseen tasks.
IJCNN
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2023 J jnl
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models.
CoRR
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, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
2023 J jnl
Robust and Fast Vehicle Detection using Augmented Confidence Map.
CoRR
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki
2023 J jnl
Study of AI-Driven Fashion Recommender Systems.
SN Comput. Sci.
Shaghayegh Shirkhani, Hamam Mokayed, Rajkumar Saini, Yan Chai Hum
2022 J jnl
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification.
CoRR
Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
2022 — conf
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification.
ECCV Workshops (7)
Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
2022 J jnl
Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning.
IEEE Access
Sachi Pandey, Vikas Chouhan, Devanshi Verma, Shubham Rajrah, Fayadh Alenezi, Rajkumar Saini, KC Santosh
2022 — conf
Emotions Classification Using EEG in Health Care.
CVMI
Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini
2022 J jnl
Leveraging external resources for offensive content detection in social media.
AI Commun.
György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki
2022 J jnl
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.
CoRR
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
2022 J jnl
Multi-Task Meta Learning: learn how to adapt to unseen tasks.
CoRR
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2022 J jnl
Robust Scene Text Detection for Partially Annotated Training Data.
IEEE Trans. Circuits Syst. Video Technol.
Prateek Keserwani, Rajkumar Saini, Marcus Liwicki, Partha Pratim Roy
2021 J jnl
3D word spotting using leap motion sensor.
Multim. Tools Appl.
Partha Pratim Roy, Pradeep Kumar, Shweta Patidar, Rajkumar Saini
2021 J jnl
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic.
IEEE Access
Hamam Mokayed, Palaiahnakote Shivakumara, Rajkumar Saini, Marcus Liwicki, Loo Chee Hin, Umapada Pal
2021 J jnl
Challenges of Hate Speech Detection in Social Media.
SN Comput. Sci.
György Kovács, Pedro Alonso, Rajkumar Saini
2021 — conf
Imagined Object Recognition Using EEG-Based Neurological Brain Signals.
RTIP2R
Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki
2021 J jnl
Modeling local and global behavior for trajectory classification using graph based algorithm.
Pattern Recognit. Lett.
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Umapada Pal
2021 J jnl
Quadbox: Quadrilateral Bounding Box Based Scene Text Detection Using Vector Regression.
IEEE Access
Prateek Keserwani, Ankit Dhankhar, Rajkumar Saini, Partha Pratim Roy
2021 J jnl
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review.
CoRR
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
2020 — conf
Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset.
SPECOM
Pedro Alonso, Rajkumar Saini, György Kovács
2020 — conf
Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning.
CVIP (2)
Sumit Rakesh, Saleha Javed, Rajkumar Saini, Marcus Liwicki
2020 — conf
TheNorth @ HaSpeeDe 2: BERT-based Language Model Fine-tuning for Italian Hate Speech Detection (short paper).
EVALITA
Eric Lavergne, Rajkumar Saini, György Kovács, Killian Murphy
2020 — conf
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa.
SemEval@COLING
Pedro Alonso, Rajkumar Saini, György Kovács
2019 J jnl
A novel point-line duality feature for trajectory classification.
Vis. Comput.
Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2019 J jnl
Fusion of Neuro-Signals and Dynamic Signatures for Person Authentication.
Sensors
Pradeep Kumar, Rajkumar Saini, Barjinder Kaur, Partha Pratim Roy, Erik J. Scheme
2019 A conf
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records.
ICDAR
Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki
2019 J jnl
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records.
CoRR
Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki
2019 J jnl
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare.
Int. J. Mach. Learn. Cybern.
Rajkumar Saini, Pradeep Kumar, Barjinder Kaur, Partha Pratim Roy, Debi Prosad Dogra, KC Santosh
2019 J jnl
Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm.
IEEE Trans. Fuzzy Syst.
Pradeep Kumar, Subham Mukherjee, Rajkumar Saini, Pallavi Kaushik, Partha Pratim Roy, Debi Prosad Dogra
2019 J jnl
Recognizing gender from human facial regions using genetic algorithm.
Soft Comput.
Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar
2019 — conf
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data.
FIRE (Working Notes)
Pedro Alonso, Rajkumar Saini, György Kovács
2019 — conf
Trilingual 3D Script Identification and Recognition using Leap Motion Sensor.
WML@ICDAR
Rajkumar Saini, Pradeep Kumar, Shweta Patidar, Partha Pratim Roy, Marcus Liwicki
2018 J jnl
A lexicon-free approach for 3D handwriting recognition using classifier combination.
Pattern Recognit. Lett.
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Umapada Pal
2018 J jnl
A novel framework of continuous human-activity recognition using Kinect.
Neurocomputing
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra
2018 J jnl
A pervasive electroencephalography-based person authentication system for cloud environment.
Displays
Pradeep Kumar, Ashish Singhal, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2018 J jnl
A position and rotation invariant framework for sign language recognition (SLR) using Kinect.
Multim. Tools Appl.
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2018 J jnl
A segmental HMM based trajectory classification using genetic algorithm.
Expert Syst. Appl.
Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2018 J jnl
Don't just sign use brain too: A novel multimodal approach for user identification and verification.
Inf. Sci.
Rajkumar Saini, Barjinder Kaur, Priyanka Singh, Pradeep Kumar, Partha Pratim Roy, Balasubramanian Raman, Dinesh Singh
2018 J jnl
EEG based word familiarity using features and frequency bands combination.
Cogn. Syst. Res.
Vaishali Khurana, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy
2018 J jnl
Envisioned speech recognition using EEG sensors.
Pers. Ubiquitous Comput.
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Pawan Kumar Sahu, Debi Prosad Dogra
2018 J jnl
Frame selection for OCR from video stream of book flipping.
Multim. Tools Appl.
Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, José M. Álvarez, Umapada Pal
2018 J jnl
Summarization of videos by analyzing affective state of the user through crowdsource.
Cogn. Syst. Res.
Ashish Singhal, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
2018 J jnl
Tracking Players in Broadcast Sports.
J. Multim. Inf. Syst.
Kandregula Manikanta Sudeep, Voddapally Amarnath, Angoth Rahul Pamaar, Kanjar De, Rajkumar Saini, Partha Pratim Roy
2018 — conf
Trajectory Classification Using Feature Selection by Genetic Algorithm.
CVIP (2)
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Umapada Pal
2017 J jnl
3D text segmentation and recognition using leap motion.
Multim. Tools Appl.
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2017 J jnl
A bio-signal based framework to secure mobile devices.
J. Netw. Comput. Appl.
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2017 — conf
An Efficient Approach for Recognition and Verification of On-Line Signatures Using PSO.
ACPR
Saikat Dutta, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy
2017 J jnl
Analysis of EEG signals and its application to neuromarketing.
Multim. Tools Appl.
Mahendra Yadava, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
2017 J jnl
Fight Detection in Hockey Videos using Deep Network.
J. Multim. Inf. Syst.
Subham Mukherjee, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
2017 — conf
Gait Analysis Using Shadow Motion.
ACPR
Pradeep Kumar, Rajkumar Saini, Chaitanya Sai Tumma, Partha Pratim Roy, Debi Prosad Dogra
2017 — conf
Local Behavior Analysis for Trajectory Classification Using Graph Embedding.
ACPR
Rajkumar Saini, Pradeep Kumar, Saikat Dutta, Partha Pratim Roy, Umapada Pal
2017 J jnl
Plant Disease Identification using Deep Neural Networks.
J. Multim. Inf. Syst.
Subham Mukherjee, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
2017 Misc conf
Real-time recognition of sign language gestures and air-writing using leap motion.
MVA
Pradeep Kumar, Rajkumar Saini, Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy
2017 J jnl
Recognizing Gender from Human Facial Regions using Genetic Algorithm.
CoRR
Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar
2016 — conf
Classification of Object Trajectories Represented by High-Level Features Using Unsupervised Learning.
CVIP (1)
Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy
2016 J jnl
On the applicability of diploid genetic algorithms in dynamic environments.
Soft Comput.
Harsh Bhasin, Gitanshu Behal, Nimish Aggarwal, Rajkumar Saini, Shivani Choudhary
2016 — conf
Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning.
CVIP (1)
Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy
2015 — conf
Segmentation and recognition of text written in 3D using Leap motion interface.
ACPR
Chelsi Agarwal, Debi Prosad Dogra, Rajkumar Saini, Partha Pratim Roy