Saurav Jha

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Juan YeReader of Computer Science, University of St AndrewsVerified email at st-andrews.ac.uk
Lina YaoResearch Manager at CSIRO Data61 & Professor at University of New South WalesVerified email at csiro.au
Franco ZAMBONELLIUniversità di Modena e Reggio EmiliaVerified email at unimore.it
Dong GongUniversity of New South Wales (UNSW)Verified email at unsw.edu.au
Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Francesco PelosinCovision Lab - Brixen, South-Tyrol, ItalyVerified email at covisionlab.com
Richard E TurnerProfessor, University of CambridgeVerified email at cam.ac.uk
Anil Kumar SinghAssociate Professor, IIT (BHU), Varanasi, IndiaVerified email at iitbhu.ac.in
Pakawat NakwijitQueen Mary University of LondonVerified email at qmul.ac.uk
Vijay Prakash DwivediPhD Student at Nanyang Technological University, SingaporeVerified email at ntu.edu.sg
Yun LiCommonwealth Scientific and Industrial Research OrganisationVerified email at csiro.au
He ZhaoCSIRO's Data61Verified email at data61.csiro.au

Saurav Jha

PhD student, University of New South Wales Sydney

Verified email at unsw.edu.au - Homepage

Continual Learning Computer Vision Machine Learning


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Continual Learning in Sensor-based Human Activity Recognition: an Empirical Benchmark Analysis S Jha, M Schiemer, F Zambonelli, J Ye Information Sciences, 2021	39	2021
Towards Exemplar-Free Continual Learning in Vision Transformers: an Account of Attention, Functional and Weight Regularization F Pelosin, S Jha, A Torsello, B Raducanu, ... CVPR CLVision Workshop Best Runner-up, 2022	20	2022
The neural process family: Survey, applications and perspectives S Jha, D Gong, X Wang, RE Turner, L Yao arXiv preprint arXiv:2209.00517, 2022	18	2022
Continual activity recognition with generative adversarial networks J Ye, P Nakwijit, M Schiemer, S Jha, F Zambonelli ACM Transactions on Internet of Things 2 (2), 1-25, 2021	13	2021
Continual learning in human activity recognition : an empirical analysis of regularization S Jha, M Schiemer, J Ye ICML 2020 Workshop on Continual Learning, 2020	11	2020
Towards Improved Cartoon Face Detection and Recognition Systems S Jha, N Agarwal, S Agarwal https://arxiv.org/pdf/1804.01753.pdf, 2018	10*	2018
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languages S Jha, A Sudhakar, AK Singh Journal of Language Modeling, 2018	8*	2018
Distilled reverse attention network for open-world compositional zero-shot learning Y Li, Z Liu, S Jha, L Yao ICCV 2023 - International Conference on Computer Vision, 1782-1791, 2023	4	2023
Gender classification of blog authors: With feature engineering and deep learning using LSTM networks VP Dwivedi, DK Singh, S Jha 2017 Ninth International Conference on Advanced Computing (ICoAC), 142-148, 2017	4	2017
NPCL: Neural Processes for Uncertainty-Aware Continual Learning S Jha, D Gong, H Zhao, L Yao NeurIPS 2023 - Neural Information Processing Systems, 2023	3	2023
Multi task deep morphological analyzer: Context aware joint morphological tagging and lemma prediction S Jha, A Sudhakar, AK Singh arXiv preprint arXiv:1811.08619, 2018	3	2018
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation S Jha Master's thesis work at INRIA Nancy, France, 2021	1	2021
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models S Jha, D Gong, L Yao arXiv preprint arXiv:2403.19137, 2024		2024

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