Moin Nabi

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Tassilo KleinSAP AI ResearchVerified 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, ItalyVerified email at iit.it
Carlo RegazzoniProfessor of Cognitive Telecommunications Systems, University of GenovaVerified email at unige.it
Enrico FiniApplied Scientist Intern, Amazon, Berlin | PhD Student, University of TrentoVerified email at unitn.it
Robin C. GeyerPhD Student at Institute for Machine Learning ETH ZurichVerified email at ethz.ch
Lucio MarcenaroUniversity of GenovaVerified email at unige.it
Frederik PahdeFraunhofer Heinrich Hertz InstituteVerified email at hhi.fraunhofer.de
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 ShekharQueen Mary University of LondonVerified email at qmul.ac.uk
Aurelie HerbelotUniversity of TrentoVerified email at unitn.it
Alessandro PerinaENELVerified email at enel.com

Moin Nabi

Principal Scientist at SAP AI Research

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	1012	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	450	2017
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	224	2018
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds M Ravanbakhsh, E Sangineto, M Nabi, N Sebe WACV 2019, 2019	218	2019
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning O Ostapenko, M Puscas, T Klein, P Jähnichen, M Nabi CVPR 2019, 2019	212	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	112	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	85	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	70	2021
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	65	2016
A Unified Objective for Novel Class Discovery E Fini, E Sangineto, S Lathuilière, Z Zhong, M Nabi, E Ricci ICCV 2021, 2021	55	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	54	2022
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	50	2019
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	47	2015
Online Continual Learning under Extreme Memory Constraints E Fini, S Lathuilière, E Sangineto, M Nabi, E Ricci ECCV 2020, 2020	46	2020
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	43	2015
Multimodal Prototypical Networks for Few-shot Learning F Pahde, M Puscas, T Klein, M Nabi WACV 2021, 2021	42	2021
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	41	2018
Contrastive Self-Supervised Learning for Commonsense Reasoning T Klein, M Nabi ACL 2020, 2020	39	2020
Attention Is (not) All You Need for Commonsense Reasoning T Klein, M Nabi ACL 2019, 2019	35	2019
Budget-Aware Adapters for Multi-Domain Learning R Berriel, S Lathuilière, M Nabi, T Klein, T Oliveira-Santos, N Sebe, ... ICCV 2019, 2019	30	2019

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