Mahdyar Ravanbakhsh
Mahdyar Ravanbakhsh
Post-Doctoral Researcher, Technische Universität Berlin
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Abnormal Event Detection in Videos using Generative Adversarial Nets
M Ravanbakhsh, M Nabi, E Sangineto, L Marcenaro, C Regazzoni, ...
2017 IEEE International Conference on Image Processing (ICIP), 1577-1581, 2017
1412017
Plug-and-play cnn for crowd motion analysis: An application in abnormal event detection
M Ravanbakhsh, M Nabi, H Mousavi, E Sangineto, N Sebe
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1689-1698, 2018
1002018
Training adversarial discriminators for cross-channel abnormal event detection in crowds
M Ravanbakhsh, E Sangineto, M Nabi, N Sebe
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1896-1904, 2019
792019
Action recognition with image based CNN features
M Ravanbakhsh, H Mousavi, M Rastegari, V Murino, LS Davis
arXiv preprint arXiv:1512.03980, 2015
432015
Detection and localization of crowd behavior using a novel tracklet-based model
H Rabiee, H Mousavi, M Nabi, M Ravanbakhsh
International Journal of Machine Learning and Cybernetics 9 (12), 1999-2010, 2018
222018
Learning multi-modal self-awareness models for autonomous vehicles from human driving
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 21st International Conference on Information Fusion (FUSION), 1866-1873, 2018
212018
A multi-perspective approach to anomaly detection for self-aware embodied agents
M Baydoun, M Ravanbakhsh, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
192018
Hierarchy of GANs for learning embodied self-awareness model
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
2018 25th IEEE International Conference on Image Processing (ICIP), 1987-1991, 2018
102018
Cnn-aware binary map for general semantic segmentation
M Ravanbakhsh, H Mousavi, M Nabi, M Rastegari, C Regazzoni
2016 IEEE International Conference on Image Processing (ICIP), 1923-1927, 2016
82016
Weakly supervised one shot segmentation
H Raza, M Ravanbakhsh, T Klein, M Nabi
Proceedings of the IEEE International Conference on Computer Vision …, 2019
62019
Fast but not deep: Efficient crowd abnormality detection with local binary tracklets
M Ravanbakhsh, H Mousavi, M Nabi, L Marcenaro, C Regazzoni
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
52018
Abnormal event recognition in crowd environments
M Nabi, H Mousavi, H Rabiee, M Ravanbakhsh, V Murino, N Sebe
Applied Cloud Deep Semantic Recognition, 37-56, 2018
52018
Learning self-awareness for autonomous vehicles: Exploring multisensory incremental models
M Ravanbakhsh, M Baydoun, D Campo, P Marin, D Martin, L Marcenaro, ...
IEEE Transactions on Intelligent Transportation Systems, 2020
32020
Uncertainty-driven semantic segmentation through human-machine collaborative learning
M Ravanbakhsh, T Klein, K Batmanghelich, M Nabi
arXiv preprint arXiv:1909.00626, 2019
22019
Human-Machine Collaboration for Medical Image Segmentation
F Last, T Klein, M Ravanbakhsh, M Nabi, K Batmanghelich, V Tresp
12018
Efficient Convolutional Neural Network with Binary Quantization Layer
M Ravanbakhsh, H Mousavi, M Nabi, L Marcenaro, C Regazzoni
Conference on Advances in Neural Information Processing Systems (NIPS 2016 …, 2016
12016
S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images
JL Holgado Alvarez, M Ravanbakhsh, B Demir
arXiv e-prints, arXiv: 2007.02565, 2020
2020
Human-Machine Collaboration for Medical Image Segmentation
M Ravanbakhsh, V Tschernezki, F Last, T Klein, K Batmanghelich, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
2020
Generative Models for Novelty Detection: Applications in abnormal event and situational change detection from data series
M Ravanbakhsh
arXiv preprint arXiv:1904.04741, 2019
2019
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Articles 1–19