Moin Nabi

I am a Principal Research Scientist at SAP AI Research in Berlin.

Before that, I was a postdoctoral research fellow in Deep Relational Learning group at the University of Trento with Professor Nicu Sebe and a visiting researcher in the CS department at the University of Washington. I did my PhD at the Italian Institute of Technology where I was advised by Professor Vittorio Murino and also working closely with Professor Massimiliano Pontil from University College London.

I am so delighted to start computer vision research with Professor Mehrdad Shahshahani at IPM Vision Group. I did my masters in AI and my bachelors in software engineering in Iran.

Email  /  CV  /  Thesis  /  Google Scholar  /  LinkedIn

Research

My research lies at the intersection of machine learning, computer vision, and natural language processing with an emphasis on learning Deep Neural Networks with minimal supervision and noisy/incomplete multi-modal data.

Internship Position: I like working with students. If you're a PhD student interested in a research internship working with me in Berlin, please send me an email with your CV and research interests.

News

[2021.09.06] I gave a talk on Continual Learning at the Berlin ML MeetUp.

[2021.08.01] The solo-learn, a library for self-supervised visual representation learning is online.

[2020.12.02] I serve as a topic editor for the Special Issue on Language and Vision by Frontiers.

[2019.09.02] I am looking for a highly motivated PhD student to work on continual learning.

[2019.12.01] Second workshop on Shortcomings in Vision and Language is accepted at NAACL 2019.

[2018.09.14] Our team is among top-performing teams at the ECCV VizWiz Grand Challenge.

[2018.04.01] A workshop on Shortcomings in Vision and Language is accepted at ECCV 2018.

[2017.09.19] Our paper is awarded the Microsoft Best Student Paper in ICIP 2017.

Selected Publications

For the full list of my publications please visit my Google Scholar page.

PontTuset

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 (TPAMI), 2022  
PDF / code

PontTuset

SCD: Self-Contrastive Decorrelation for Sentence Embeddings
T. Klein, M. Nabi
Association for Computational Linguistics (ACL), 2022  
PDF / code

PontTuset

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
V. Costa, E. Fini, M. Nabi, N. Sebe, E. Ricci
Journal of Machine Learning Research (JMLR), 2022  
PDF / code / Documentation

PontTuset

Attention-based Contrastive Learning for Winograd Schemas
T. Klein, M. Nabi
Findings of Empirical Methods in Natural Language Processing (EMNLP), 2021  
PDF / code

PontTuset

Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models
T. Klein, M. Nabi
Empirical Methods in Natural Language Processing (EMNLP), 2021  
PDF / code

PontTuset

A Unified Objective for Novel Class Discovery
E. Fini, E. Sangineto, S. Lathuilire, Z. Zhong, M. Nabi, E. Ricci
IEEE International Conference on Computer Vision (ICCV), 2021   (Oral)
PDF / project page / code

PontTuset

EaSe: A Diagnostic Tool for VQA based on Answer Diversity
S. Jolly, S. Pezzelle, M. Nabi
North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2021  
PDF / code

PontTuset

Online Continual Learning under Extreme Memory Constraints
E. Fini, S. Lathuilire, E. Sangineto, M. Nabi, E. Ricci
European Conference on Computer Vision (ECCV), 2020  
PDF / code

PontTuset

Contrastive Self-Supervised Learning for Commonsense Reasoning
T. Klein, M. Nabi
Association for Computational Linguistics (ACL), 2020  
PDF / code

PontTuset

Budget-Aware Adapters for Multi-Domain Learning
R. Berriel, S. Lathuili, M. Nabi, T. Klein, T. Oliveira, N. Sebe, E. Ricci
IEEE International Conference on Computer Vision (ICCV), 2019  
PDF / code

PontTuset

Attention Is (not) All You Need for Commonsense Reasoning
T. Klein, M. Nabi
Association for Computational Linguistics (ACL), 2019  
PDF / code

PontTuset

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
O. Ostapenko, M. Puscas, T. Klein, P. Jahnichen, M. Nabi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019  
PDF / code / blog

PontTuset

Self-Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto*, M. Nabi*, D. Culibrk and N. Sebe
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018  
PDF / code

PontTuset

Differentially Private Federated Learning: A Client Level Perspective
R. Gayer, T. Klein, M. Nabi
Workshop on Machine Learning on the Phone and Consumer Devices at NIPS, 2017  
PDF / code / blog / poster

PontTuset

FOIL it! Find One mismatch between Image and Language caption
R. Shekhar, S. Pezzelle, A. Herbelot, M. Nabi, E. Sangineto, R. Bernardi
Association for Computational Linguistics (ACL), 2017   (Oral)
PDF / talk / code / data / blog

PontTuset

Self-Crowdsourcing Training for Relation Extraction
A. Abad, M. Nabi, A. Moschitti
Association for Computational Linguistics (ACL), 2017  
PDF / bibtex

PontTuset

Abnormal Event Detection in Videos using Generative Adversarial Nets
M. Ravanbakhsh, M. Nabi, E. Sangineto L. Mercenaro, C. Regazzoni, N. Sebe
IEEE International Conference on Image Processing (ICIP), 2017  
Microsoft Best Student Paper Award
PDF / code / bibtex

PontTuset

Autonomous Crowdsourcing through Human-Machine Collaborative Learning
A. Abad, M. Nabi, A. Moschitti
Special Interest Group on Information Retrieval (SIGIR), 2017  
PDF / bibtex

PontTuset

Learning with Dataset Bias in Latent Subcategory Models
D. Stamos, S. Martelli, M. Nabi, A. McDonald, V. Murino, M. Pontil
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015  
PDF / abstract / bibtex


Erdös = 3 (via two paths)

Thanks Jon!