Mahdyar Ravanbakhsh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 40

Top Topics

Abnormal Event Detection

Image Classification

Collaborative Learning

Top Venues

Publications

Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir
Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing. CoRR (2023)
Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. IGARSS (2023)
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. CoRR (2022)
Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. CoRR (2022)
Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. CoRR (2022)
Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing. CoRR (2022)
Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir
Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. IGARSS (2022)
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. ICASSP (2022)
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. CoRR (2022)
Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. ICIP (2022)
Tom-Lukas Breitkopf, Leonard W. Hackel, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir
Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images. CoRR (2022)
Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. CoRR (2021)
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. ICIP (2021)
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise. CoRR (2021)
Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir
S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. IGARSS (2020)
Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
Human-Machine Collaboration for Medical Image Segmentation. ICASSP (2020)
Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels. CoRR (2020)
Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi
Weakly Supervised One Shot Segmentation. ICCV Workshops (2019)
Mahdyar Ravanbakhsh
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series. CoRR (2019)
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV (2019)
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
Hierarchy of GANs for learning embodied self-awareness model. CoRR (2018)
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)
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
Hierarchy of Gans for Learning Embodied Self-Awareness Model. ICIP (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)
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni
A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents. CoRR (2018)
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. CoRR (2018)
Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni
a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. ICASSP (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)
Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. FUSION (2018)
Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR (2017)
Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. 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)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
CNN-aware Binary Map for General Semantic Segmentation. 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)
Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR (2016)
Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis
Action Recognition with Image Based CNN Features. CoRR (2015)