Mahdyar Ravanbakhsh

发表

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

Mahdyar Ravanbakhsh, Lucio Marcenaro, Andrea Cavallaro, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Abnormal Event Recognition in Crowd Environments

Nicu Sebe, Vittorio Murino, Hossein Mousavi, 2018 .

Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing

B. Demir, Mahdyar Ravanbakhsh, G. Mikriukov, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Advanced Deep Learning Architectures for Accurate Detection of Subsurface Tile Drainage Pipes from Remote Sensing Images

Mahdyar Ravanbakhsh, S. Broda, Sandra Willkommen, 2022, 2210.02071.

Multi-modal fusion transformer for visual question answering in remote sensing

Kai Norman Clasen, B. Demir, Mahdyar Ravanbakhsh, 2022, Remote Sensing.

On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification

B. Demir, Mahdyar Ravanbakhsh, Tom Burgert, 2022, IEEE Transactions on Geoscience and Remote Sensing.

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

B. Demir, Mahdyar Ravanbakhsh, A. Aksoy, 2020, IEEE transactions on neural networks and learning systems.

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

B. Demir, Mahdyar Ravanbakhsh, A. Aksoy, 2020, 2012.10715.

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

Mahdyar Ravanbakhsh, Lucio Marcenaro, Mohamad Baydoun, 2020, IEEE Transactions on Intelligent Transportation Systems.

Human-Machine Collaboration for Medical Image Segmentation

V. Tresp, M. Nabi, F. Last, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Mahdyar Ravanbakhsh, Begum Demir, Georgii Mikriukov, 2022, ArXiv.

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

Mahdyar Ravanbakhsh, Begum Demir, Jose Luis Holgado Alvarez, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Detection and localization of crowd behavior using a novel tracklet-based model

Hamid R. Rabiee, Hossein Mousavi, Mahdyar Ravanbakhsh, 2018, Int. J. Mach. Learn. Cybern..

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

Nicu Sebe, Enver Sangineto, Hossein Mousavi, 2016, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Abnormal event detection in videos using generative adversarial nets

Nicu Sebe, Enver Sangineto, Carlo S. Regazzoni, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

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

Nicu Sebe, Enver Sangineto, Mahdyar Ravanbakhsh, 2017, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

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

Mahdyar Ravanbakhsh, Mahdyar Ravanbakhsh, 2019, ArXiv.

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

Carlo S. Regazzoni, Hossein Mousavi, Mahdyar Ravanbakhsh, 2018, 2018 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

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

Carlo S. Regazzoni, Mahdyar Ravanbakhsh, Lucio Marcenaro, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Action Recognition with Image Based CNN Features pdf

Larry S. Davis, Vittorio Murino, Mohammad Rastegari, 2015, ArXiv.

Uncertainty-Driven Semantic Segmentation through Human-Machine Collaborative Learning

Tassilo Klein, Mahdyar Ravanbakhsh, Moin Nabi, 2019, 1909.00626.

Weakly Supervised One Shot Segmentation

Mahdyar Ravanbakhsh, Moin Nabi, Hasnain Raza, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Detection and localization of crowd behavior using a novel tracklet-based model

Mahdyar Ravanbakhsh, Moin Nabi, Hossein Mousavi, 2017, International Journal of Machine Learning and Cybernetics.

On the Effects of Different Types of Label Noise in Multi-Label Remote Sensing Image Classification

B. Demir, Mahdyar Ravanbakhsh, Tom Burgert, 2022, IEEE Transactions on Geoscience and Remote Sensing.

CCML: A Novel Collaborative Learning Model for Classification of Remote Sensing Images with Noisy Multi-Labels

B. Demir, Mahdyar Ravanbakhsh, A. Aksoy, 2020, ArXiv.

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

N. Sebe, E. Sangineto, Mahdyar Ravanbakhsh, 2016, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).

Advanced deep learning architectures for accurate detection of subsurface tile drainage pipes from remote sensing images

Mahdyar Ravanbakhsh, S. Broda, Sandra Willkommen, 2022, Remote Sensing.