Moin Nabi

I am a Senior Research Scientist at SAP Machine Learning 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 working with Ali Farhadi. 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


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.


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

[2019.07.22] A paper on Multi-Domain Learning is accepted at ICCV 2019.

[2019.05.14] A paper on commonsense reasoning is accepted at ACL 2019.

[2019.02.25] A paper on Continual Learning is accepted at CVPR 2019, Congratulations to Oleksiy!

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

[2018.11.06] Three papers are accepted in WACV 2019.

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

[2018.02.01] A paper on Self-paced Deep Learning is accepted to PAMI 2018.

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

[2017.04.01] Two papers are accepted in ACL 2017.

[2016.11.11] The Motion Emotion Dataset (MED) is online!

Publications and Preprints

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


Plug-and-Play CNN for Crowd Analysis: An Application in Abnormal Event Detection
M. Ravanbakhsh, M. Nabi, Mousavi, E. Sangineto and N. Sebe
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018  
PDF / bibtex


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


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


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 / bibtex


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


A Cross-modal Adaptation Approach for Brain Decoding
P. Ghaemmaghami, M. Nabi, Y. Yan, G. Riccardi, and N. Sebe
International Conference on Acoustics, Speech, Signal Processing (ICASSP), 2017
PDF / bibtex


Sparse-coded Cross-domain Adaptation from Visual to Brain Domain
P. Ghaemmaghami, M. Nabi, Y. Yan and N. Sebe
IEEE International Conference on Pattern Recognition (ICPR), 2016   (Oral)
PDF / slies / bibtex


Emotion-Based Crowd Representation for Abnormality Detection
H.R. Rabiee, J. Haddadnia, H. Mousavi, M. Nabi, V. Murino and N. Sebe
arXiv:1607.07646, 2016  
PDF / dataset / bibtex


Novel Dataset for Fine-grained Abnormal Behavior Understanding in Crowd
H.R. Rabiee, J. Haddadnia, H. Mousavi, M. Kalantarzadeh, M. Nabi, V. Murino
IEEE Advanced Video and Signal-based Surveillance (AVSS), 2016  
PDF / poster / dataset / bibtex


CNN-aware Binary Map For General Image Segmentation
M. Ravanbakhsh, H. Mousavi, M. Nabi, M. Rastegari and C. Regazzoni
IEEE International Conference on Image Processing (ICIP), 2016  
Best Paper / Student Paper Award Finalist (7 / ~2000 submissions)
PDF / poster / slides / code / bibtex


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


Crowd Motion Monitoring Using Tracklet-based Commotion Measure
M. Nabi*, H. Mousavi*, H. Kiani, A. Perina and V. Murino
IEEE International Conference on Image Processing (ICIP), 2015  
PDF / poster / video / bibtex


Abnormality Detection with Improved Histogram of Oriented Tracklets
H. Mousavi, M. Nabi, H. Kiani, A. Perina and V. Murino
International Conference on Image Analysis and Processing (ICIAP), 2015  
PDF / poster / bibtex


Temporal Poselets for Collective Activity Detection and Recognition
M. Nabi, A. Del Bue, V. Murino
IEEE International Conference on Computer Vision Workshops, 2013   (Oral)
PDF / slide / video / code / bibtex


Mid-level Representation for Visual Recognition
Moin Nabi
Ph.D. Dissertation , 2015  
PDF / slides / talk /


Webly-supervised Subcategoty-aware Discriminative Patch
M. Nabi, S. Divvala, A. Farhadi
Technical Report*, 2014  
PDF / slide / code


Stock trend prediction using Twin Gaussian Process regression
M. Mojaddady, M. Nabi, S. Khadivi
Technical Report, 2011  
PDF / bibtex


A Turorial on Digital Image Processing using MATLAB
M. Nabi
National Digital Image Processing Workshop, 2008  
PDF / code / data

Erdös = 3 (via two paths)

Thanks Jon!