Mahdyar Ravanbakhsh

According to our database, Mahdyar Ravanbakhsh authored at least 31 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification.

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir

IEEE Trans. Neural Networks Learn. Syst., May, 2024

2023

LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing.

Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval.

Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir

IEEE Trans. Geosci. Remote. Sens., 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

Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing.

Tim Siebert, Kai Norman Clasen, 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

Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing.

Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir

CoRR, 2022

Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives.

Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing.

Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing.

Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models.

Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni

IEEE Trans. Intell. Transp. Syst., 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

A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval.

Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir

CoRR, 2021

A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels.

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

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

S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images.

Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Human-Machine Collaboration for Medical Image Segmentation.

Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series.

Mahdyar Ravanbakhsh

PhD thesis, 2019

Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series.

Mahdyar Ravanbakhsh

CoRR, 2019

Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds.

Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Weakly Supervised One Shot Segmentation.

Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

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

Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection.

Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Hierarchy of Gans for Learning Embodied Self-Awareness Model.

Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents.

Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving.

Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the 21st International Conference on Information Fusion, 2018

Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni

Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

2017

Abnormal event detection in videos using generative adversarial nets.

Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Efficient Convolutional Neural Network with Binary Quantization Layer.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni

CoRR, 2016

CNN-aware binary MAP for general semantic segmentation.

Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Action Recognition with Image Based CNN Features.

Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis

CoRR, 2015