Moin Nabi

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Tassilo KleinPrincipal Scientist @ SAP AI CTO OfficeVerified email at sap.com
Nicu SebeUniversity of TrentoVerified email at unitn.it
Enver SanginetoUniversity of Modena e Reggio EmiliaVerified email at unimore.it
Mahdyar RavanbakhshResearch Scientist, Zalando SE BerlinVerified email at tu-berlin.de
Hossein MousaviSpecialist Manager at DeloitteVerified email at deloitte.com.au
Elisa RicciUniversity of Trento & Fondazione Bruno KesslerVerified email at unitn.it
Oleksiy OstapenkoUniversity of Montreal, MILAVerified email at umontreal.ca
Mihai-Marian PuscasVideo ResearcherVerified email at unitn.it
Vittorio MurinoProfessor @ University of Verona. Former director of PAVIS @ Italian Institute of Technology.Verified email at iit.it
Enrico FiniResearch Scientist, AppleVerified email at apple.com
Carlo RegazzoniProfessor of Cognitive Telecommunications Systems, University of GenovaVerified email at unige.it
Robin C. GeyerPhD Student at Institute for Machine Learning ETH ZurichVerified email at ethz.ch
Frederik PahdeFraunhofer Heinrich Hertz InstituteVerified email at hhi.fraunhofer.de
Lucio MarcenaroUniversity of GenovaVerified email at unige.it
Stéphane LathuilièreTélécom Paris, Assoc. Professor (Maitre de conférence)Verified email at telecom-paris.fr
Sandro PezzelleAssistant Professor at ILLC, University of AmsterdamVerified email at uva.nl
Raffaella BernardiUniversity of TrentoVerified email at unitn.it
Ravi ShekharUniversity of EssexVerified email at essex.ac.uk
Aurelie HerbelotUniversity of TrentoVerified email at unitn.it
Alessandro PerinaENELVerified email at enel.com

Moin Nabi

Research Scientist at Apple

Verified email at uw.edu - Homepage

Computer Vision NLP Continual Learning Self-Supervised Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Differentially Private Federated Learning: A Client Level Perspective RC Geyer, T Klein, M Nabi Conference on Advances in Neural Information Processing Systems (NIPS 2017 …, 2017	1209	2017
Abnormal Event Detection in Videos using Generative Adversarial Nets M Ravanbakhsh, M Nabi, E Sangineto, L Marcenaro, C Regazzoni, ... IEEE International Conference on Image Processing (ICIP), 2017	494	2017
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O Ostapenko, M Puscas, T Klein, P Jähnichen, M Nabi CVPR 2019, 2019	253	2019
Plug-and-play CNN for crowd motion analysis: An application in abnormal event detection M Ravanbakhsh, M Nabi, H Mousavi, E Sangineto, N Sebe WACV 2018, 2018	243	2018
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds M Ravanbakhsh, E Sangineto, M Nabi, N Sebe WACV 2019, 2019	238	2019
Self Paced Deep Learning for Weakly Supervised Object Detection E Sangineto, M Nabi, D Culibrk, N Sebe IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018	118	2018
FOIL it! Find One mismatch between Image and Language caption R Shekhar, S Pezzelle, Y Klimovich, A Herbelot, M Nabi, E Sangineto, ... ACL 2017, 2017	101	2017
Multimodal Self-supervised Learning for Medical Image Analysis A Taleb, C Lippert, T Klein, M Nabi International Conference on Information Processing in Medical Imaging, 661-673, 2021	95	2021
A Unified Objective for Novel Class Discovery E Fini, E Sangineto, S Lathuilière, Z Zhong, M Nabi, E Ricci ICCV 2021, 2021	91	2021
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. VGT Da Costa, E Fini, M Nabi, N Sebe, E Ricci Journal of Machine Learning Research (JMLR), 2022	81	2022
Novel dataset for fine-grained abnormal behavior understanding in crowd H Rabiee, J Haddadnia, H Mousavi, M Kalantarzadeh, M Nabi, V Murino 2016 13th IEEE International Conference on Advanced Video and Signal Based …, 2016	72	2016
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds T Klein, M Nabi arXiv preprint arXiv:1911.02365, 2019	67	2019
Multimodal Prototypical Networks for Few-shot Learning F Pahde, M Puscas, T Klein, M Nabi WACV 2021, 2021	62	2021
Online Continual Learning under Extreme Memory Constraints E Fini, S Lathuilière, E Sangineto, M Nabi, E Ricci ECCV 2020, 2020	55	2020
Contrastive Self-Supervised Learning for Commonsense Reasoning T Klein, M Nabi ACL 2020, 2020	52	2020
Crowd motion monitoring using tracklet-based commotion measure H Mousavi, M Nabi, H Kiani, A Perina, V Murino 2015 IEEE International Conference on Image Processing (ICIP), 2354-2358, 2015	51	2015
Abnormality detection with improved histogram of oriented tracklets H Mousavi, M Nabi, HK Galoogahi, A Perina, V Murino International Conference on Image Analysis and Processing, 722-732, 2015	44	2015
Detection and localization of crowd behavior using a novel tracklet-based model H Rabiee, H Mousavi, M Nabi, M Ravanbakhsh International Journal of Machine Learning and Cybernetics 9, 1999-2010, 2018	43	2018
Budget-Aware Adapters for Multi-Domain Learning R Berriel, S Lathuilière, M Nabi, T Klein, T Oliveira-Santos, N Sebe, ... ICCV 2019, 2019	39	2019
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation G Yang, E Fini, D Xu, P Rota, M Ding, M Nabi, X Alameda-Pineda, E Ricci IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022	36	2022

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