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2020 – today
- 2024
[j33]Tofik Ali
, Partha Pratim Roy, Rajkumar Saini:
Fast&Focused-Net: Enhancing Small Object Encoding With VDP Layer in Deep Neural Networks. IEEE Access 12: 130603-130616 (2024)- [j32]Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Sharing to Learn and Learning to Share; Fitting Together Meta, Multi-Task, and Transfer Learning: A Meta Review. IEEE Access 12: 148553-148576 (2024) - [c24]Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini:
SimBrainNet: Evaluating Brain Network Similarity for Attention Disorders. MICCAI (2) 2024: 389-399 - [i16]Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Björn Backe, Palaiahnakote Shivakumara, Olle Hagner, Yan Chai Hum:
Vehicle Detection Performance in Nordic Region. CoRR abs/2403.15017 (2024) - [i15]Prakash Chandra Chhipa, Meenakshi Subhash Chippa, Kanjar De, Rajkumar Saini, Marcus Liwicki, Mubarak Shah:
Möbius Transform for Mitigating Perspective Distortions in Representation Learning. CoRR abs/2405.02296 (2024) - [i14]Prakash Chandra Chhipa, Kanjar De, Meenakshi Subhash Chippa, Rajkumar Saini, Marcus Liwicki:
Investigating Robustness of Open-Vocabulary Foundation Object Detectors under Distribution Shifts. CoRR abs/2405.14874 (2024) - [i13]Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Giving each task what it needs - leveraging structured sparsity for tailored multi-task learning. CoRR abs/2406.03048 (2024) - 2023
- [j31]Shaghayegh Shirkhani, Hamam Mokayed, Rajkumar Saini, Yan Chai Hum:
Study of AI-Driven Fashion Recommender Systems. SN Comput. Sci. 4(5): 514 (2023) - [c23]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: 4469-4478 - [c22]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: 553-565 - [c21]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: 3339-3343 - [c20]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. IJCNN 2023: 1-10 - [c19]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: 2716-2726 - [i12]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 abs/2302.04032 (2023) - [i11]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 abs/2304.01354 (2023) - [i10]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 abs/2304.14462 (2023) - [i9]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:
Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models. CoRR abs/2306.10854 (2023) - [i8]Prakash Chandra Chhipa, Johan Rodahl Holmgren, Kanjar De, Rajkumar Saini, Marcus Liwicki:
Can Self-Supervised Representation Learning Methods Withstand Distribution Shifts and Corruptions? CoRR abs/2308.02525 (2023) - [i7]Richa Upadhyay, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Less is More - Towards parsimonious multi-task models using structured sparsity. CoRR abs/2308.12114 (2023) - 2022
- [j30]Sachi Pandey, Vikas Chouhan, Devanshi Verma, Shubham Rajrah, Fayadh Alenezi, Rajkumar Saini, KC Santosh:
Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning. IEEE Access 10: 90056-90067 (2022) - [j29]György Kovács, Pedro Alonso, Rajkumar Saini, Marcus Liwicki:
Leveraging external resources for offensive content detection in social media. AI Commun. 35(2): 87-109 (2022) - [j28]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): 8635-8645 (2022) - [c18]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: 37-49 - [c17]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: 212-227 - [i6]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 abs/2203.07707 (2022) - [i5]Richa Upadhyay, Prakash Chandra Chhipa, Ronald Phlypo, Rajkumar Saini, Marcus Liwicki:
Multi-Task Meta Learning: learn how to adapt to unseen tasks. CoRR abs/2210.06989 (2022) - [i4]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 abs/2210.10633 (2022) - 2021
- [j27]Prateek Keserwani, Ankit Dhankhar, Rajkumar Saini, Partha Pratim Roy:
Quadbox: Quadrilateral Bounding Box Based Scene Text Detection Using Vector Regression. IEEE Access 9: 36802-36818 (2021) - [j26]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: 129102-129109 (2021) - [j25]Partha Pratim Roy, Pradeep Kumar, Shweta Patidar, Rajkumar Saini:
3D word spotting using leap motion sensor. Multim. Tools Appl. 80(8): 11671-11689 (2021) - [j24]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: 280-288 (2021) - [j23]György Kovács, Pedro Alonso, Rajkumar Saini:
Challenges of Hate Speech Detection in Social Media. SN Comput. Sci. 2(2): 95 (2021) - [c16]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: 305-319 - [i3]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 abs/2111.12146 (2021) - 2020
- [c15]Sumit Rakesh, Saleha Javed, Rajkumar Saini, Marcus Liwicki:
Sign Gesture Recognition from Raw Skeleton Information in 3D Using Deep Learning. CVIP (2) 2020: 184-195 - [c14]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 - [c13]Pedro Alonso, Rajkumar Saini, György Kovács:
TheNorth at SemEval-2020 Task 12: Hate Speech Detection Using RoBERTa. SemEval@COLING 2020: 2197-2202 - [c12]Pedro Alonso, Rajkumar Saini, György Kovács:
Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset. SPECOM 2020: 13-21
2010 – 2019
- 2019
- [j22]Rajkumar Saini, Pradeep Kumar, Barjinder Kaur, Partha Pratim Roy, Debi Prosad Dogra, KC Santosh:
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare. Int. J. Mach. Learn. Cybern. 10(9): 2529-2540 (2019) - [j21]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): 4641 (2019) - [j20]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): 8085-8100 (2019) - [j19]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): 956-965 (2019) - [j18]Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A novel point-line duality feature for trajectory classification. Vis. Comput. 35(3): 415-427 (2019) - [c11]Pedro Alonso, Rajkumar Saini, György Kovács:
TheNorth at HASOC 2019: Hate Speech Detection in Social Media Data. FIRE (Working Notes) 2019: 293-299 - [c10]Rajkumar Saini, Pradeep Kumar, Shweta Patidar, Partha Pratim Roy, Marcus Liwicki:
Trilingual 3D Script Identification and Recognition using Leap Motion Sensor. WML@ICDAR 2019: 24-28 - [c9]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: 1499-1504 - [i2]Foteini Simistira Liwicki, Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki:
ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records. CoRR abs/1903.03341 (2019) - 2018
- [j17]Vaishali Khurana, Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy:
EEG based word familiarity using features and frequency bands combination. Cogn. Syst. Res. 49: 33-48 (2018) - [j16]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: 917-930 (2018) - [j15]Pradeep Kumar, Ashish Singhal, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A pervasive electroencephalography-based person authentication system for cloud environment. Displays 55: 64-70 (2018) - [j14]Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A segmental HMM based trajectory classification using genetic algorithm. Expert Syst. Appl. 93: 169-181 (2018) - [j13]Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Debi Prosad Dogra:
A novel framework of continuous human-activity recognition using Kinect. Neurocomputing 311: 99-111 (2018) - [j12]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: 163-178 (2018) - [j11]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): 257-264 (2018) - [j10]Dibyayan Chakraborty, Partha Pratim Roy, Rajkumar Saini, José M. Álvarez, Umapada Pal:
Frame selection for OCR from video stream of book flipping. Multim. Tools Appl. 77(1): 985-1008 (2018) - [j9]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): 8823-8846 (2018) - [j8]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Umapada Pal:
A lexicon-free approach for 3D handwriting recognition using classifier combination. Pattern Recognit. Lett. 103: 1-7 (2018) - [j7]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Pawan Kumar Sahu, Debi Prosad Dogra:
Envisioned speech recognition using EEG sensors. Pers. Ubiquitous Comput. 22(1): 185-199 (2018) - [c8]Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy, Umapada Pal:
Trajectory Classification Using Feature Selection by Genetic Algorithm. CVIP (2) 2018: 377-388 - 2017
- [j6]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): 225-232 (2017) - [j5]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): 233-238 (2017) - [j4]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
A bio-signal based framework to secure mobile devices. J. Netw. Comput. Appl. 89: 62-71 (2017) - [j3]Pradeep Kumar, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra:
3D text segmentation and recognition using leap motion. Multim. Tools Appl. 76(15): 16491-16510 (2017) - [j2]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): 19087-19111 (2017) - [c7]Rajkumar Saini, Pradeep Kumar, Saikat Dutta, Partha Pratim Roy, Umapada Pal:
Local Behavior Analysis for Trajectory Classification Using Graph Embedding. ACPR 2017: 442-447 - [c6]Pradeep Kumar, Rajkumar Saini, Chaitanya Sai Tumma, Partha Pratim Roy, Debi Prosad Dogra:
Gait Analysis Using Shadow Motion. ACPR 2017: 453-458 - [c5]Saikat Dutta, Rajkumar Saini, Pradeep Kumar, Partha Pratim Roy:
An Efficient Approach for Recognition and Verification of On-Line Signatures Using PSO. ACPR 2017: 882-887 - [c4]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: 157-160 - [i1]Avirup Bhattacharyya, Rajkumar Saini, Partha Pratim Roy, Debi Prosad Dogra, Samarjit Kar:
Recognizing Gender from Human Facial Regions using Genetic Algorithm. CoRR abs/1712.01661 (2017) - 2016
- [j1]Harsh Bhasin, Gitanshu Behal, Nimish Aggarwal, Rajkumar Saini, Shivani Choudhary:
On the applicability of diploid genetic algorithms in dynamic environments. Soft Comput. 20(9): 3403-3410 (2016) - [c3]Rajkumar Saini, Arif Ahmed, Debi Prosad Dogra, Partha Pratim Roy:
Surveillance Scene Segmentation Based on Trajectory Classification Using Supervised Learning. CVIP (1) 2016: 261-271 - [c2]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: 273-284 - 2015
- [c1]Chelsi Agarwal, Debi Prosad Dogra, Rajkumar Saini, Partha Pratim Roy:
Segmentation and recognition of text written in 3D using Leap motion interface. ACPR 2015: 539-543
Coauthor Index
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last updated on 2024-11-07 21:32 CET by the dblp team
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