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ORCIDMahdyar Ravanbakhsh
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2020 – today
- 2024
[j5]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): 6438-6451 (2024)- 2023
- [c16]Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir:
LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. IGARSS 2023: 2231-2234 - [i20]Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir:
LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing. CoRR abs/2306.00758 (2023) - 2022
- [j4]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: 1-13 (2022) - [j3]Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir:
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [c15]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. ICASSP 2022: 4463-4467 - [c14]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. ICIP 2022: 2556-2560 - [c13]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: 1940-1943 - [i19]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. CoRR abs/2201.08125 (2022) - [i18]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. CoRR abs/2202.13117 (2022) - [i17]Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir:
Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. CoRR abs/2204.08707 (2022) - [i16]Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir:
On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. CoRR abs/2207.13975 (2022) - [i15]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 abs/2210.02071 (2022) - [i14]Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir:
Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing. CoRR abs/2210.04510 (2022) - 2021
- [j2]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): 3372-3386 (2021) - [c12]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: 3842-3846 - [i13]Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir:
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. CoRR abs/2105.03647 (2021) - [i12]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 abs/2105.05496 (2021) - 2020
- [c11]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044 - [c10]Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir:
S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. IGARSS 2020: 2515-2518 - [i11]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 abs/2012.10715 (2020)
2010 – 2019
- 2019
- [b1]Mahdyar Ravanbakhsh:
Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series. University of Genoa, Italy, 2019 - [c9]Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi:
Weakly Supervised One Shot Segmentation. ICCV Workshops 2019: 1401-1406 - [c8]Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe:
Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV 2019: 1896-1904 - [i10]Mahdyar Ravanbakhsh:
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series. CoRR abs/1904.04741 (2019) - 2018
- [j1]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): 1999-2010 (2018) - [c7]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: 1-6 - [c6]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: 1866-1873 - [c5]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: 6598-6602 - [c4]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: 1987-1991 - [c3]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: 1689-1698 - [i9]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 abs/1803.06579 (2018) - [i8]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 abs/1806.02609 (2018) - [i7]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 abs/1806.04012 (2018) - 2017
- [c2]Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe:
Abnormal event detection in videos using generative adversarial nets. ICIP 2017: 1577-1581 - [i6]Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe:
Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. CoRR abs/1706.07680 (2017) - [i5]Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe:
Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR abs/1708.09644 (2017) - 2016
- [c1]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware binary MAP for general semantic segmentation. ICIP 2016: 1923-1927 - [i4]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni:
CNN-aware Binary Map for General Semantic Segmentation. CoRR abs/1609.09220 (2016) - [i3]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 abs/1610.00307 (2016) - [i2]Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni:
Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR abs/1611.06764 (2016) - 2015
- [i1]Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis:
Action Recognition with Image Based CNN Features. CoRR abs/1512.03980 (2015)
Coauthor Index
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