Mahdyar Ravanbakhsh

43 papers A 2B 6C 4Misc 3Journal 26Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agentic Personalized Fashion Recommendation in the Age of Generative AI: Challenges, Opportunities, and Evaluation. CoRR Yashar Deldjoo, Nima Rafiee, Mahdyar Ravanbakhsh
2024	J	`jnl`	Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification. IEEE Trans. Neural Networks Learn. Syst. Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Begüm Demir
2023	C	`conf`	LIT-4-RSVQA: Lightweight Transformer-Based Visual Question Answering in Remote Sensing. IGARSS Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
2023	J	`jnl`	LiT-4-RSVQA: Lightweight Transformer-based Visual Question Answering in Remote Sensing. CoRR Leonard W. Hackel, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images. CoRR Tom-Lukas Breitkopf, Leonard W. Hackel, Mahdyar Ravanbakhsh, Anne-Karin Cooke, Sandra Willkommen, Stefan Broda, Begüm Demir
2022	B	`conf`	An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. ICIP Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	An Unsupervised Cross-Modal Hashing Method Robust to Noisy Training Image-Text Correspondences in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	C	`conf`	Deep Learning Driven Content-Based Image Time-Series Retrieval in Remote Sensing Archives. IGARSS Onat Vuran, Oguzhan Akcin, Mahdyar Ravanbakhsh, Bülent Sankur, Begüm Demir
2022	J	`jnl`	Deep Unsupervised Contrastive Hashing for Large-Scale Cross-Modal Text-Image Retrieval in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. Gencer Sumbul, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Multi-Modal Fusion Transformer for Visual Question Answering in Remote Sensing. CoRR Tim Siebert, Kai Norman Clasen, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. CoRR Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Tom Burgert, Mahdyar Ravanbakhsh, Begüm Demir
2022	Misc	`conf`	Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. ICASSP Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2022	J	`jnl`	Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing. CoRR Georgii Mikriukov, Mahdyar Ravanbakhsh, Begüm Demir
2021	B	`conf`	A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels. ICIP Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
2021	J	`jnl`	A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval. CoRR Tristan Kreuziger, Mahdyar Ravanbakhsh, Begüm Demir
2021	J	`jnl`	A Novel Uncertainty-aware Collaborative Learning Method for Remote Sensing Image Classification Under Multi-Label Noise. CoRR Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
2021	J	`jnl`	Learning Self-Awareness for Autonomous Vehicles: Exploring Multisensory Incremental Models. IEEE Trans. Intell. Transp. Syst. Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
2020	J	`jnl`	CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels. CoRR Ahmet Kerem Aksoy, Mahdyar Ravanbakhsh, Tristan Kreuziger, Begüm Demir
2020	Misc	`conf`	Human-Machine Collaboration for Medical Image Segmentation. ICASSP Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi
2020	C	`conf`	S2-CGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images. IGARSS Jose Luis Holgado Alvarez, Mahdyar Ravanbakhsh, Begüm Demir
2019	—	`—`	Generative Models for Novelty Detection Applications in abnormal event and situational changedetection from data series. Mahdyar Ravanbakhsh
2019	J	`jnl`	Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series. CoRR Mahdyar Ravanbakhsh
2019	A	`conf`	Training Adversarial Discriminators for Cross-Channel Abnormal Event Detection in Crowds. WACV Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
2019	—	`conf`	Weakly Supervised One Shot Segmentation. ICCV Workshops Hasnain Raza, Mahdyar Ravanbakhsh, Tassilo Klein, Moin Nabi
2018	J	`jnl`	A Multi-perspective Approach To Anomaly Detection For Self-aware Embodied Agents. CoRR Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni
2018	J	`jnl`	Detection and localization of crowd behavior using a novel tracklet-based model. Int. J. Mach. Learn. Cybern. Hamidreza Rabiee, Hossein Mousavi, Moin Nabi, Mahdyar Ravanbakhsh
2018	B	`conf`	Fast but Not Deep: Efficient Crowd Abnormality Detection with Local Binary Tracklets. AVSS Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
2018	J	`jnl`	Hierarchy of GANs for learning embodied self-awareness model. CoRR Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
2018	B	`conf`	Hierarchy of Gans for Learning Embodied Self-Awareness Model. ICIP Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
2018	C	`conf`	Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. FUSION Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
2018	J	`jnl`	Learning Multi-Modal Self-Awareness Models for Autonomous Vehicles from Human Driving. CoRR Mahdyar Ravanbakhsh, Mohamad Baydoun, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Carlo S. Regazzoni
2018	A	`conf`	Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. WACV Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
2018	Misc	`conf`	a Multi-Perspective Approach to Anomaly Detection for Self -Aware Embodied Agents. ICASSP Mohamad Baydoun, Mahdyar Ravanbakhsh, Damian Campo, Pablo Marin, David Martín, Lucio Marcenaro, Andrea Cavallaro, Carlo S. Regazzoni
2017	J	`jnl`	Abnormal Event Detection in Videos using Generative Adversarial Nets. CoRR Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
2017	B	`conf`	Abnormal event detection in videos using generative adversarial nets. ICIP Mahdyar Ravanbakhsh, Moin Nabi, Enver Sangineto, Lucio Marcenaro, Carlo S. Regazzoni, Nicu Sebe
2017	J	`jnl`	Training Adversarial Discriminators for Cross-channel Abnormal Event Detection in Crowds. CoRR Mahdyar Ravanbakhsh, Enver Sangineto, Moin Nabi, Nicu Sebe
2016	J	`jnl`	CNN-aware Binary Map for General Semantic Segmentation. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	B	`conf`	CNN-aware binary MAP for general semantic segmentation. ICIP Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Mohammad Rastegari, Carlo S. Regazzoni
2016	J	`jnl`	Efficient Convolutional Neural Network with Binary Quantization Layer. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Moin Nabi, Lucio Marcenaro, Carlo S. Regazzoni
2016	J	`jnl`	Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection. CoRR Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, Enver Sangineto, Nicu Sebe
2015	J	`jnl`	Action Recognition with Image Based CNN Features. CoRR Mahdyar Ravanbakhsh, Hossein Mousavi, Mohammad Rastegari, Vittorio Murino, Larry S. Davis