| 2023 | IGARSS | LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. | Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begm Demir |
| 2022 | ICASSP | Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. | Georgii Mikriukov, Mahdyar Ravanbakhsh, Begm Demir |
| 2022 | ICIP | An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. | Georgii Mikriukov, Mahdyar Ravanbakhsh, Begm Demir |
| 2022 | IGARSS | Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. | Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Blent Sankur, Begm Demir |
| 2021 | ICIP | A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. | Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begm Demir |
| 2020 | ICASSP | Human-Machine Collaboration for Medical Image Segmentation. | Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi |
| 2020 | IGARSS | S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. | Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begm Demir |
| 2019 | WACV | Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. | Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe |
| 2018 | AVSS | Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. | Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni |
| 2018 | FUSION | Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. | Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martn, Lucio Marcenaro, Carlo S. Regazzoni |
| 2018 | ICASSP | a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. | Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martn, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni |
| 2018 | ICIP | Hierarchy of Gans for Learning Embodied Self-Awareness Model. | Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martn, Lucio Marcenaro, Carlo S. Regazzoni |
| 2018 | WACV | Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. | Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe |
| 2017 | ICIP | Abnormal event detection in videos using generative adversarial nets. | Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe |
| 2016 | ICIP | CNN-aware binary MAP for general semantic segmentation. | Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni |