Moin Nabi
Moin Nabi
Research Scientist at Apple
Verified email at - Homepage
Cited by
Cited by
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
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
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O Ostapenko, M Puscas, T Klein, P Jähnichen, M Nabi
CVPR 2019, 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
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds
M Ravanbakhsh, E Sangineto, M Nabi, N Sebe
WACV 2019, 2019
A Unified Objective for Novel Class Discovery
E Fini, E Sangineto, S Lathuilière, Z Zhong, M Nabi, E Ricci
ICCV 2021, 2021
A unified objective for novel class discovery
E Fini, E Sangineto, S Lathuilière, Z Zhong, M Nabi, E Ricci
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
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
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
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
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
Multimodal Prototypical Networks for Few-shot Learning
F Pahde, M Puscas, T Klein, M Nabi
WACV 2021, 2021
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
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
Online Continual Learning under Extreme Memory Constraints
E Fini, S Lathuilière, E Sangineto, M Nabi, E Ricci
ECCV 2020, 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning
T Klein, M Nabi
ACL 2020, 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
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
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
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
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