Deep Belief Nets as Function Approximators for Reinforcement Learning. - Farnaz Abtahi; Ian R. Fasel (Lifelong Learning, 2011)

Information theoretic reward shaping for curiosity driven learning in POMDPs. - Nassim Mafi; Farnaz Abtahi; Ian R. Fasel (ICDL-EPIROB, 2011)

A Deep Feature based Multi-kernel Learning Approach for Video Emotion Recognition. - Wei Li 077; Farnaz Abtahi; Zhigang Zhu 001 (ICMI, 2015)

A deep reinforcement learning approach to character segmentation of license plate images. - Farnaz Abtahi; Zhigang Zhu 001; Aaron M. Burry (MVA, 2015)

Towards an "In-the-Wild" Emotion Dataset Using a Game-Based Framework. - Wei Li 077; Farnaz Abtahi; Christina Tsangouri; Zhigang Zhu 001 (CVPR Workshops, 2016)

Action Unit Detection with Region Adaptation, Multi-labeling Learning and Optimal Temporal Fusing. - Wei Li 077; Farnaz Abtahi; Zhigang Zhu 001 (CVPR, 2017)

EAC-Net: A Region-Based Deep Enhancing and Cropping Approach for Facial Action Unit Detection. - Wei Li 077; Farnaz Abtahi; Zhigang Zhu 001; Lijun Yin 001 (FG, 2017)

Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study. - Farnaz Abtahi; Tony Ro; Wei Li 077; Zhigang Zhu 001 (WACV, 2018)

A recursive framework for expression recognition: from web images to deep models to game dataset. - Wei Li 077; Christina Tsangouri; Farnaz Abtahi; Zhigang Zhu 001 (Mach. Vis. Appl., 2018)

EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection. - Wei Li 077; Farnaz Abtahi; Zhigang Zhu 001; Lijun Yin 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors. - Farnaz Abtahi (2018)

Text Generation with Speech Synthesis for ASR Data Augmentation. - Zhuangqun Huang; Gil Keren; Ziran Jiang; Shashank Jain; David Goss-Grubbs; Nelson Cheng; Farnaz Abtahi; Duc Le; David Zhang; Antony D'Avirro; Ethan Campbell-Taylor; Jessie Salas; et al. (CoRR, 2023)