Action Recognition with Image Based CNN Features. - Mahdyar Ravanbakhsh; Hossein Mousavi; Mohammad Rastegari; Vittorio Murino; Larry S. Davis (CoRR, 2015)

CNN-aware binary MAP for general semantic segmentation. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Mohammad Rastegari; Carlo S. Regazzoni (ICIP, 2016)

Efficient Convolutional Neural Network with Binary Quantization Layer. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Lucio Marcenaro; Carlo S. Regazzoni (CoRR, 2016)

Abnormal event detection in videos using generative adversarial nets. - Mahdyar Ravanbakhsh; Moin Nabi; Enver Sangineto; Lucio Marcenaro; Carlo S. Regazzoni; Nicu Sebe (ICIP, 2017)

Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. - Mahdyar Ravanbakhsh; Hossein Mousavi; Moin Nabi; Lucio Marcenaro; Carlo S. Regazzoni (AVSS, 2018)

Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. - Mahdyar Ravanbakhsh; Mohamad Baydoun; Damian Campo; Pablo Marin; David Martín 001; Lucio Marcenaro; Carlo S. Regazzoni (FUSION, 2018)

a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. - Mohamad Baydoun; Mahdyar Ravanbakhsh; Damian Campo; Pablo Marin; David Martín 001; Lucio Marcenaro; Andrea Cavallaro; Carlo S. Regazzoni (ICASSP, 2018)

Hierarchy of Gans for Learning Embodied Self-Awareness Model. - Mahdyar Ravanbakhsh; Mohamad Baydoun; Damian Campo; Pablo Marin; David Martín 001; Lucio Marcenaro; Carlo S. Regazzoni (ICIP, 2018)

Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. - Mahdyar Ravanbakhsh; Moin Nabi; Hossein Mousavi; Enver Sangineto; Nicu Sebe (WACV, 2018)

Detection and localization of crowd behavior using a novel tracklet-based model. - Hamid R. Rabiee; Hossein Mousavi; Moin Nabi; Mahdyar Ravanbakhsh (Int. J. Mach. Learn. Cybern., 2018)

Weakly Supervised One Shot Segmentation. - Hasnain Raza; Mahdyar Ravanbakhsh; Tassilo Klein; Moin Nabi (ICCV Workshops, 2019)

Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. - Mahdyar Ravanbakhsh; Enver Sangineto; Moin Nabi; Nicu Sebe (WACV, 2019)

Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series. - Mahdyar Ravanbakhsh (CoRR, 2019)

Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series. - Mahdyar Ravanbakhsh (2019)

Human-Machine Collaboration for Medical Image Segmentation. - Mahdyar Ravanbakhsh; Vadim Tschernezki; Felix Last; Tassilo Klein; Kayhan Batmanghelich; Volker Tresp; Moin Nabi (ICASSP, 2020)

S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. - Jose Luis Holgado Alvarez; Mahdyar Ravanbakhsh; Begüm Demir (IGARSS, 2020)

CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels. - Ahmet Kerem Aksoy; Mahdyar Ravanbakhsh; Tristan Kreuziger; Begüm Demir (CoRR, 2020)

A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. - Ahmet Kerem Aksoy; Mahdyar Ravanbakhsh; Tristan Kreuziger; Begüm Demir (ICIP, 2021)

A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. - Tristan Kreuziger; Mahdyar Ravanbakhsh; Begüm Demir (CoRR, 2021)

A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise. - Ahmet Kerem Aksoy; Mahdyar Ravanbakhsh; Tristan Kreuziger; Begüm Demir (CoRR, 2021)

Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models. - Mahdyar Ravanbakhsh; Mohamad Baydoun; Damian Campo; Pablo Marin; David Martín 001; Lucio Marcenaro; Carlo S. Regazzoni (IEEE Trans. Intell. Transp. Syst., 2021)

Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. - Georgii Mikriukov; Mahdyar Ravanbakhsh; Begüm Demir (ICASSP, 2022)

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. - Georgii Mikriukov; Mahdyar Ravanbakhsh; Begüm Demir (ICIP, 2022)

Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. - Onat Vuran; Oguzhan Akcin; Mahdyar Ravanbakhsh; Bülent Sankur; Begüm Demir (IGARSS, 2022)

Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. - Georgii Mikriukov; Mahdyar Ravanbakhsh; Begüm Demir (CoRR, 2022)

Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images. - Tom-Lukas Breitkopf; Leonard W. Hackel; Mahdyar Ravanbakhsh; Anne-Karin Cooke; Sandra Willkommen; Stefan Broda; Begüm Demir (CoRR, 2022)

Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing. - Tim Siebert; Kai Norman Clasen; Mahdyar Ravanbakhsh; Begüm Demir (CoRR, 2022)

On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. - Tom Burgert; Mahdyar Ravanbakhsh; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2022)

Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. - Gencer Sumbul; Mahdyar Ravanbakhsh; Begüm Demir (IEEE Trans. Geosci. Remote. Sens., 2022)

LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. - Leonard W. Hackel; Kai Norman Clasen; Mahdyar Ravanbakhsh; Begüm Demir (IGARSS, 2023)

Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification. - Ahmet Kerem Aksoy; Mahdyar Ravanbakhsh; Begüm Demir (IEEE Trans. Neural Networks Learn. Syst., 2024)