Rajkumar Saini

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Transfer Learning

Top Venues

Multim. Tools Appl.

Publications

Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Björn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum
Vehicle Detection Performance in Nordic Region. CoRR (2024)
Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. CoRR (2024)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning. CoRR (2024)
Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. CoRR (2024)
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? CoRR (2023)
Holly Wilson, Scott Wellington, Foteini Simistira Liwicki, Vibha Gupta, Rajkumar Saini, Kanjar De, Nosheen Abid, Sumit Rakesh, Johan Eriksson, Oliver Watts, Xi Chen, Mohammad Golbabaee, Michael J. Proulx, Marcus Liwicki, Eamonn O'Neill, Benjamin Metcalfe
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. CoRR (2023)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Less is More - Towards parsimonious multi-task models using structured sparsity. CoRR (2023)
Yejing Xie, Harold Mouchère, Foteini Simistira Liwicki, Sumit Rakesh, Rajkumar Saini, Masaki Nakagawa, Cuong Tuan Nguyen, Thanh-Nghia Truong
ICDAR 2023 CROHME: Competition on Recognition of Handwritten Mathematical Expressions. ICDAR (2) (2023)
Hamam Mokayed, Palaiahnakote Shivakumara, Lama Alkhaled, Rajkumar Saini, Muhammad Zeshan Afzal, Yan Chai Hum, Marcus Liwicki
Robust and Fast Vehicle Detection using Augmented Confidence Map. CoRR (2023)
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN (2023)
Prakash Chandra Chhipa, Muskaan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
Functional Knowledge Transfer with Self-supervised Representation Learning. ICIP (2023)
Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? ICCV (Workshops) (2023)
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. WACV (2023)
Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki
A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions. CoRR (2023)
Prakash Chandra Chhipa, Muskan Chopra, Gopal Mengi, Varun Gupta, Richa Upadhyay, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
Functional Knowledge Transfer with Self-supervised Representation Learning. CoRR (2023)
Shaghayegh Shirkhani, Hamam Mokayed, Rajkumar Saini, Yan Chai Hum
Study of AI-Driven Fashion Recommender Systems. SN Comput. Sci. 4 (5) (2023)
Prateek Keserwani, Rajkumar Saini, Marcus Liwicki, Partha Pratim Roy
Robust Scene Text Detection for Partially Annotated Training Data. IEEE Trans. Circuits Syst. Video Technol. 32 (12) (2022)
Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR (2022)
Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
Depth Contrast: Self-supervised Pretraining on 3DPM Images for Mining Material Classification. ECCV Workshops (7) (2022)
Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki
Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images. CoRR (2022)
Prakash Chandra Chhipa, Richa Upadhyay, Rajkumar Saini, Lars Lindqvist, Richard Nordenskjöld, Seiichi Uchida, Marcus Liwicki
Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification. CoRR (2022)
Sumit Rakesh, Foteini Liwicki, Hamam Mokayed, Richa Upadhyay, Prakash Chandra Chhipa, Vibha Gupta, Kanjar De, György Kovács, Dinesh Singh, Rajkumar Saini
Emotions Classification Using EEG in Health Care. CVMI (2022)
Sachi Pandey, Vikas Chouhan, Devanshi Verma, Shubham Rajrah, Fayadh Alenezi, Rajkumar Saini, K. C. Santosh
Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning. IEEE Access 10 (2022)
György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki
Leveraging external resources for offensive content detection in social media. AI Commun. 35 (2) (2022)
Rajkumar Saini, Sameer Prabhu, Richa Upadhyay, Sumit Rakesh, Prakash Chandra Chhipa, Hamam Mokayed, Marcus Liwicki, Foteini Liwicki
Imagined Object Recognition Using EEG-Based Neurological Brain Signals. RTIP2R (2021)
Prateek Keserwani, Ankit Dhankhar, Rajkumar Saini, Partha Pratim Roy
Quadbox: Quadrilateral Bounding Box Based Scene Text Detection Using Vector Regression. IEEE Access 9 (2021)
Partha Pratim Roy, Pradeep Kumar, Shweta Patidar, Rajkumar Saini
3D word spotting using leap motion sensor. Multim. Tools Appl. 80 (8) (2021)
Hamam Mokayed, Palaiahnakote Shivakumara, Rajkumar Saini, Marcus Liwicki, Loo Chee Hin, Umapada Pal
Anomaly Detection in Natural Scene Images Based on Enhanced Fine-Grained Saliency and Fuzzy Logic. IEEE Access 9 (2021)
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Umapada Pal
Modeling local and global behavior for trajectory classification using graph based algorithm. Pattern Recognit. Lett. 150 (2021)
Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki
Sharing to learn and learning to share - Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning : A meta review. CoRR (2021)
György Kovács, Pedro Alonso, Rajkumar Saini
Challenges of Hate Speech Detection in Social Media. SN Comput. Sci. 2 (2) (2021)
Eric Lavergne, Rajkumar Saini, György Kovács, Killian Murphy
TheNorth @ HaSpeeDe 2: BERT-based Language Model Fine-tuning for Italian Hate Speech Detection (short paper). EVALITA (2020)
Pedro Alonso, Rajkumar Saini, György Kovács
Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset. SPECOM (2020)
Pedro Alonso, Rajkumar Saini, György Kovács
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. SemEval@COLING (2020)
Sumit Rakesh, Saleha Javed, Rajkumar Saini, Marcus Liwicki
Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning. CVIP (2) (2020)
Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
A novel point-line duality feature for trajectory classification. Vis. Comput. 35 (3) (2019)
Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar
Recognizing gender from human facial regions using genetic algorithm. Soft Comput. 23 (17) (2019)
Pedro Alonso, Rajkumar Saini, György Kovács
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. FIRE (Working Notes) (2019)
Pradeep Kumar, Rajkumar Saini, Barjinder Kaur, Partha Pratim Roy, Erik J. Scheme
Fusion of Neuro-Signals and Dynamic Signatures for Person Authentication. Sensors 19 (21) (2019)
Rajkumar Saini, Pradeep Kumar, Shweta Patidar, Partha Pratim Roy, Marcus Liwicki
Trilingual 3D Script Identification and Recognition using Leap Motion Sensor. WML@ICDAR (2019)
Rajkumar Saini, Pradeep Kumar, Barjinder Kaur, Partha Pratim Roy, Debi Prosad Dogra, K. C. Santosh
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. Int. J. Mach. Learn. Cybern. 10 (9) (2019)
Pradeep Kumar, Subham Mukherjee, Rajkumar Saini, Pallavi Kaushik, Partha Pratim Roy, Debi Prosad Dogra
Multimodal Gait Recognition With Inertial Sensor Data and Video Using Evolutionary Algorithm. IEEE Trans. Fuzzy Syst. 27 (5) (2019)
Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. CoRR (2019)
Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki, Foteini Simistira Liwicki
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. ICDAR (2019)
Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, Jose M. Alvarez, Umapada Pal
Frame selection for OCR from video stream of book flipping. Multim. Tools Appl. 77 (1) (2018)
Ashish Singhal, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
Summarization of videos by analyzing affective state of the user through crowdsource. Cogn. Syst. Res. 52 (2018)
Vaishali Khurana, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy
EEG based word familiarity using features and frequency bands combination. Cogn. Syst. Res. 49 (2018)
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra
A novel framework of continuous human-activity recognition using Kinect. Neurocomputing 311 (2018)
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Umapada Pal
A lexicon-free approach for 3D handwriting recognition using classifier combination. Pattern Recognit. Lett. 103 (2018)
Rajkumar Saini, Barjinder Kaur, Priyanka Singh, Pradeep Kumar, Partha Pratim Roy, Balasubramanian Raman, Dinesh Singh
Don't just sign use brain too: A novel multimodal approach for user identification and verification. Inf. Sci. 430 (2018)
Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Umapada Pal
Trajectory Classification Using Feature Selection by Genetic Algorithm. CVIP (2) (2018)
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Pawan Kumar Sahu, Debi Prosad Dogra
Envisioned speech recognition using EEG sensors. Pers. Ubiquitous Comput. 22 (1) (2018)
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
A position and rotation invariant framework for sign language recognition (SLR) using Kinect. Multim. Tools Appl. 77 (7) (2018)
Kandregula Manikanta Sudeep, Voddapally Amarnath, Angoth Rahul Pamaar, Kanjar De, Rajkumar Saini, Partha Pratim Roy
Tracking Players in Broadcast Sports. J. Multim. Inf. Syst. 5 (4) (2018)
Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
A segmental HMM based trajectory classification using genetic algorithm. Expert Syst. Appl. 93 (2018)
Pradeep Kumar, Ashish Singhal, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
A pervasive electroencephalography-based person authentication system for cloud environment. Displays 55 (2018)
Subham Mukherjee, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
Plant Disease Identification using Deep Neural Networks. J. Multim. Inf. Syst. 4 (4) (2017)
Pradeep Kumar, Rajkumar Saini, Chaitanya Sai Tumma, Partha Pratim Roy, Debi Prosad Dogra
Gait Analysis Using Shadow Motion. ACPR (2017)
Rajkumar Saini, Pradeep Kumar, Saikat Dutta, Partha Pratim Roy, Umapada Pal
Local Behavior Analysis for Trajectory Classification Using Graph Embedding. ACPR (2017)
Saikat Dutta, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy
An Efficient Approach for Recognition and Verification of On-Line Signatures Using PSO. ACPR (2017)
Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar
Recognizing Gender from Human Facial Regions using Genetic Algorithm. CoRR (2017)
Subham Mukherjee, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra, Byung-Gyu Kim
Fight Detection in Hockey Videos using Deep Network. J. Multim. Inf. Syst. 4 (4) (2017)
Mahendra Yadava, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
Analysis of EEG signals and its application to neuromarketing. Multim. Tools Appl. 76 (18) (2017)
Pradeep Kumar, Rajkumar Saini, Santosh Kumar Behera, Debi Prosad Dogra, Partha Pratim Roy
Real-time recognition of sign language gestures and air-writing using leap motion. MVA (2017)
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
3D text segmentation and recognition using leap motion. Multim. Tools Appl. 76 (15) (2017)
Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra
A bio-signal based framework to secure mobile devices. J. Netw. Comput. Appl. 89 (2017)
Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy
Classification of Object Trajectories Represented by High-Level Features Using Unsupervised Learning. CVIP (1) (2016)
Harsh Bhasin, Gitanshu Behal, Nimish Aggarwal, Rajkumar Saini, Shivani Choudhary
On the applicability of diploid genetic algorithms in dynamic environments. Soft Comput. 20 (9) (2016)
Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy
Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning. CVIP (1) (2016)
Chelsi Agarwal, Debi Prosad Dogra, Rajkumar Saini, Partha Pratim Roy
Segmentation and recognition of text written in 3D using Leap motion interface. ACPR (2015)