Moin Nabi

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 72

Top Topics

Abnormal Event Detection

Medical Image Analysis

Visual Representation

Supervised Learning

Top Venues

Publications

Tassilo Klein, Moin Nabi
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models. CoRR (2024)
Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CVPR (2023)
Tassilo Klein, Moin Nabi
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. ACL (1) (2023)
Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci
Semi-supervised learning made simple with self-supervised clustering. CoRR (2023)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-Aware Contrastive Distillation for Incremental Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Tassilo Klein, Moin Nabi
SCD: Self-Contrastive Decorrelation of Sentence Embeddings. ACL (2) (2022)
Guanglei Yang, Enrico Fini, Dan Xu, Paolo Rota, Mingli Ding, Moin Nabi, Xavier Alameda-Pineda, Elisa Ricci
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation. CoRR (2022)
Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR (2022)
Tassilo Klein, Moin Nabi
SCD: Self-Contrastive Decorrelation for Sentence Embeddings. CoRR (2022)
Victor Guilherme Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. J. Mach. Learn. Res. 23 (2022)
Jannik Wolff, Tassilo Klein, Moin Nabi, Rahul G. Krishnan, Shinichi Nakajima
Mixture-of-experts VAEs can disregard variation in surjective multimodal data. CoRR (2022)
Tassilo Klein, Moin Nabi
miCSE: Mutual Information Contrastive Learning for Low-shot Sentence Embeddings. CoRR (2022)
Tassilo Klein, Moin Nabi
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. CoRR (2021)
Tassilo Klein, Moin Nabi
Attention-based Contrastive Learning for Winograd Schemas. EMNLP (Findings) (2021)
Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
A Unified Objective for Novel Class Discovery. CoRR (2021)
Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi, Nicu Sebe, Elisa Ricci
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning. CoRR (2021)
Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci
A Unified Objective for Novel Class Discovery. ICCV (2021)
Tassilo Klein, Moin Nabi
Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models. EMNLP (1) (2021)
Tassilo Klein, Moin Nabi
Attention-based Contrastive Learning for Winograd Schemas. CoRR (2021)
Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
Multimodal Prototypical Networks for Few-shot Learning. WACV (2021)
Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
Multimodal Self-supervised Learning for Medical Image Analysis. IPMI (2021)
Shailza Jolly, Sandro Pezzelle, Moin Nabi
EaSe: A Diagnostic Tool for VQA based on Answer Diversity. NAACL-HLT (2021)
Tassilo Klein, Moin Nabi
Contrastive Self-Supervised Learning for Commonsense Reasoning. CoRR (2020)
Frederik Pahde, Mihai Marian Puscas, Tassilo Klein, Moin Nabi
Multimodal Prototypical Networks for Few-shot Learning. CoRR (2020)
Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
Human-Machine Collaboration for Medical Image Segmentation. ICASSP (2020)
Tassilo Klein, Moin Nabi
Contrastive Self-Supervised Learning for Commonsense Reasoning. ACL (2020)
Colin Samplawski, Jannik Wolff, Tassilo Klein, Moin Nabi
Learning Graph-Based Priors for Generalized Zero-Shot Learning. CoRR (2020)
Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
Online Continual Learning under Extreme Memory Constraints. CoRR (2020)
Enrico Fini, Stéphane Lathuilière, Enver Sangineto, Moin Nabi, Elisa Ricci
Online Continual Learning Under Extreme Memory Constraints. ECCV (28) (2020)
Tassilo Klein, Moin Nabi
Attention Is (not) All You Need for Commonsense Reasoning. ACL (1) (2019)
Aiham Taleb, Christoph Lippert, Tassilo Klein, Moin Nabi
Multimodal Self-Supervised Learning for Medical Image Analysis. CoRR (2019)
Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
Low-Shot Learning From Imaginary 3D Model. WACV (2019)
Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Self-Paced Adversarial Training for Multimodal Few-Shot Learning. WACV (2019)
Frederik Pahde, Mihai Marian Puscas, Jannik Wolff, Tassilo Klein, Nicu Sebe, Moin Nabi
Low-Shot Learning from Imaginary 3D Model. CoRR (2019)
Daniel Dorda, Moin Nabi
SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning. ICCV Workshops (2019)
Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning. ICASSP (2019)
Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CoRR (2019)
Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci
Budget-Aware Adapters for Multi-Domain Learning. ICCV (2019)
Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi
Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning. CVPR (2019)
Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe
Self Paced Deep Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Rodrigo Ferreira Berriel, Stéphane Lathuilière, Moin Nabi, Tassilo Klein, Thiago Oliveira-Santos, Nicu Sebe, Elisa Ricci
Budget-Aware Adapters for Multi-Domain Learning. CoRR (2019)
Tassilo Klein, Moin Nabi
Learning to Answer by Learning to Ask: Getting the Best of GPT-2 and BERT Worlds. CoRR (2019)
Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi
Weakly Supervised One Shot Segmentation. ICCV Workshops (2019)
Tassilo Klein, Moin Nabi
Attention Is (not) All You Need for Commonsense Reasoning. CoRR (2019)
Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi
Pruning at a Glance: Global Neural Pruning for Model Compression. CoRR (2019)
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV (2019)
Hamid R. Rabiee, Hossein Mousavi, Moin Nabi, Mahdyar Ravanbakhsh
Detection and localization of crowd behavior using a novel tracklet-based model. Int. J. Mach. Learn. Cybern. 9 (12) (2018)
Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Self Paced Adversarial Training for Multimodal Few-shot Learning. CoRR (2018)
Frederik Pahde, Moin Nabi, Tassilo Klein, Patrick Jähnichen
Discriminative Hallucination for Multi-Modal Few-Shot Learning. ICIP (2018)
Shailza Jolly, Sandro Pezzelle, Tassilo Klein, Andreas Dengel, Moin Nabi
The Wisdom of MaSSeS: Majority, Subjectivity, and Semantic Similarity in the Evaluation of VQA. CoRR (2018)
Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. WACV (2018)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. AVSS (2018)
Frederik Pahde, Patrick Jähnichen, Tassilo Klein, Moin Nabi
Cross-modal Hallucination for Few-shot Fine-grained Recognition. CoRR (2018)
Azad Abad, Moin Nabi, Alessandro Moschitti
Autonomous Crowdsourcing through Human-Machine Collaborative Learning. SIGIR (2017)
Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Giuseppe Riccardi, Nicu Sebe
A cross-modal adaptation approach for brain decoding. ICASSP (2017)
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
FOIL it! Find One mismatch between Image and Language caption. ACL (1) (2017)
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR (2017)
Ravi Shekhar, Sandro Pezzelle, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
Vision and Language Integration: Moving beyond Objects. IWCS(2) (2017)
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. CoRR (2017)
Azad Abad, Moin Nabi, Alessandro Moschitti
Self-Crowdsourcing Training for Relation Extraction. ACL (2) (2017)
Robin C. Geyer, Tassilo Klein, Moin Nabi
Differentially Private Federated Learning: A Client Level Perspective. CoRR (2017)
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
Abnormal event detection in videos using generative adversarial nets. ICIP (2017)
Ravi Shekhar, Sandro Pezzelle, Yauhen Klimovich, Aurélie Herbelot, Moin Nabi, Enver Sangineto, Raffaella Bernardi
FOIL it! Find One mismatch between Image and Language caption. CoRR (2017)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
CNN-aware Binary Map for General Semantic Segmentation. CoRR (2016)
Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Moin Nabi, Vittorio Murino, Nicu Sebe
Emotion-Based Crowd Representation for Abnormality Detection. CoRR (2016)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
CNN-aware binary MAP for general semantic segmentation. ICIP (2016)
Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. CoRR (2016)
Hamid Reza Rabiee, Javad Haddadnia, Hossein Mousavi, Maziyar Kalantarzadeh, Moin Nabi, Vittorio Murino
Novel dataset for fine-grained abnormal behavior understanding in crowd. AVSS (2016)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR (2016)
Enver Sangineto, Moin Nabi, Dubravko Culibrk, Nicu Sebe
Self Paced Deep Learning for Weakly Supervised Object Detection. CoRR (2016)
Pouya Ghaemmaghami, Moin Nabi, Yan Yan, Nicu Sebe
Sparse-coded cross-domain adaptation from the visual to the brain domain. ICPR (2016)
Hossein Mousavi, Moin Nabi, Hamed Kiani, Alessandro Perina, Vittorio Murino
Crowd motion monitoring using tracklet-based commotion measure. ICIP (2015)
Hossein Mousavi, Moin Nabi, Hamed Kiani Galoogahi, Alessandro Perina, Vittorio Murino
Abnormality Detection with Improved Histogram of Oriented Tracklets. ICIAP (2) (2015)
Moin Nabi
Mid-level Representation for Visual Recognition. CoRR (2015)
Dimitris Stamos, Samuele Martelli, Moin Nabi, Andrew M. McDonald, Vittorio Murino, Massimiliano Pontil
Learning with dataset bias in latent subcategory models. CVPR (2015)
Moin Nabi, Alessio Del Bue, Vittorio Murino
Temporal Poselets for Collective Activity Detection and Recognition. ICCV Workshops (2013)