| Action unit detection with region adaptation, multi-labeling learning and optimal temporal fusing W Li, F Abtahi, Z Zhu Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 185 | 2017 |
| Eac-net: Deep nets with enhancing and cropping for facial action unit detection W Li, F Abtahi, Z Zhu, L Yin IEEE transactions on pattern analysis and machine intelligence 40 (11), 2583 …, 2018 | 141 | 2018 |
| Eac-net: A region-based deep enhancing and cropping approach for facial action unit detection W Li, F Abtahi, Z Zhu, L Yin 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | 137 | 2017 |
| Reinforcement learning approach to character level segmentation of license plate images AM Burry, F Abtahi US Patent 9,213,910, 2015 | 38 | 2015 |
| Deep belief nets as function approximators for reinforcement learning F Abtahi, I Fasel Workshops at the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011 | 34 | 2011 |
| A deep feature based multi-kernel learning approach for video emotion recognition W Li, F Abtahi, Z Zhu Proceedings of the 2015 ACM on international conference on multimodal …, 2015 | 32 | 2015 |
| A deep reinforcement learning approach to character segmentation of license plate images F Abtahi, Z Zhu, AM Burry 2015 14th IAPR international conference on machine vision applications (MVA …, 2015 | 32 | 2015 |
| Emotion analysis using audio/video, emg and eeg: A dataset and comparison study F Abtahi, T Ro, W Li, Z Zhu 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 10-19, 2018 | 30 | 2018 |
| An interactive facial-expression training platform for individuals with autism spectrum disorder C Tsangouri, W Li, Z Zhu, F Abtahi, T Ro 2016 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-3, 2016 | 22 | 2016 |
| A recursive framework for expression recognition: from web images to deep models to game dataset W Li, C Tsangouri, F Abtahi, Z Zhu Machine Vision and Applications 29, 489-502, 2018 | 18 | 2018 |
| Towards an “In-the-Wild” Emotion Dataset Using a Game-Based Framework W Li, F Abtahi, C Tsangouri, Z Zhu Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 IEEE …, 2016 | 13 | 2016 |
| Solving multi-agent markov decision processes using learning automata F Abtahi, MR Meybodi 2008 6th International Symposium on Intelligent Systems and Informatics, 1-6, 2008 | 12 | 2008 |
| Information theoretic reward shaping for curiosity driven learning in POMDPs N Mafi, F Abtahi, I Fasel 2011 IEEE International Conference on Development and Learning (ICDL) 2, 1-7, 2011 | 11 | 2011 |
| Learning automata-based co-evolutionary genetic algorithms for function optimization F Abtahi, MR Meybodi, MM Ebadzadeh, R Maani 2008 6th International Symposium on Intelligent Systems and Informatics, 1-5, 2008 | 11 | 2008 |
| Learning automata based algorithms for finding optimal policies in fully cooperative Markov games B Masoumi, MR Meybodi, F Abtahi Przegląd Elektrotechniczny 8, 280-289, 2012 | 2 | 2012 |
| Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors F Abtahi City University of New York, 2018 | 1 | 2018 |
| Deep Learning Models for Multimodal Sensing and Processing F Abtahi, Z Zhu | | 2015 |
| Finding Dominant Strategies in Blotto Games utilizing Learning Automata F Abtahi, MR Meybodi, S Shiry Intelligent Systems and Informatics, 2008. SISY 2008. 6th International …, 2008 | | 2008 |
| Multimodal Speaker Recognition using Deep Belief Networks F Abtahi, W Li, Z Zhu, T Ro | | |
| WACV 2018 VF Abrevaya, S Wuhrer, E Boyer, F Abtahi, T Ro | | |
Zhigang ZhuHerbert G. Kayser Professor of Computer Science, CUNY City College and Graduate CenterVerified email at cs.ccny.cuny.edu
