| Bayesian graph convolution LSTM for skeleton based action recognition R Zhao, K Wang, H Su, Q Ji Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 156 | 2019 |
| Facial expression intensity estimation using ordinal information R Zhao, Q Gan, S Wang, Q Ji Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 142 | 2016 |
| Generalizing eye tracking with bayesian adversarial learning K Wang, R Zhao, H Su, Q Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 132 | 2019 |
| A hierarchical generative model for eye image synthesis and eye gaze estimation K Wang, R Zhao, Q Ji Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 83 | 2018 |
| Bayesian hierarchical dynamic model for human action recognition R Zhao, W Xu, H Su, Q Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 77 | 2019 |
| Bayesian adversarial human motion synthesis R Zhao, H Su, Q Ji Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 71 | 2020 |
| An immersive system with multi-modal human-computer interaction R Zhao, K Wang, R Divekar, R Rouhani, H Su, Q Ji 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 60 | 2018 |
| Bilateral ordinal relevance multi-instance regression for facial action unit intensity estimation Y Zhang, R Zhao, W Dong, BG Hu, Q Ji Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 57 | 2018 |
| Human computer interaction with head pose, eye gaze and body gestures K Wang, R Zhao, Q Ji 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 52 | 2018 |
| Interaction challenges in AI equipped environments built to teach foreign languages through dialogue and task-completion RR Divekar, J Drozdal, Y Zhou, Z Song, D Allen, R Rouhani, R Zhao, ... Proceedings of the 2018 Designing Interactive Systems Conference, 597-609, 2018 | 30 | 2018 |
| Cira: An architecture for building configurable immersive smart-rooms RR Divekar, M Peveler, R Rouhani, R Zhao, JO Kephart, D Allen, K Wang, ... Proceedings of SAI Intelligent Systems Conference, 76-95, 2018 | 29 | 2018 |
| The Rensselaer Mandarin Project—A cognitive and immersive language learning environment D Allen, RR Divekar, J Drozdal, L Balagyozyan, S Zheng, Z Song, H Zou, ... Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9845-9846, 2019 | 20 | 2019 |
| An Adversarial Hierarchical Hidden Markov Model for Human Pose Modeling and Generation R Zhao, Q Ji AAAI, 2018 | 18 | 2018 |
| Coupled hidden Markov model for electrocorticographic signal classification R Zhao, G Schalk, Q Ji 2014 22nd International Conference on Pattern Recognition, 1858-1862, 2014 | 13 | 2014 |
| Robust partial fingerprint recognition Y Zhang, R Zhao, Z Zhao, N Ramakrishnan, M Aggarwal, G Medioni, Q Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 9 | 2023 |
| Wind turbine fault prediction using soft label SVM R Zhao, MR Al Iqbal, KP Bennett, Q Ji 2016 23rd International conference on pattern recognition (ICPR), 3192-3197, 2016 | 7 | 2016 |
| A Generalized Method for Fault Detection and Diagnosis in SCADA Sensor Data via Classification with Uncertain Labels MR Al Iqbal, R Zhao, Q Ji, KP Bennett International Conference Data Science, 2018 | 4 | 2018 |
| An Empirical Evaluation of Bayesian Inference Methods for Bayesian Neural Networks R Zhao, Q Ji NIPS Bayesian Deep Learning Workshop, 2018 | 4 | 2018 |
| Data Pruning via Separability, Integrity, and Model Uncertainty-Aware Importance Sampling S Grosz, R Zhao, R Ranjan, H Wang, M Aggarwal, G Medioni, A Jain | 3 | 2024 |
| System for multi-modal anomaly detection R Zhao, M Aggarwal, GG Medioni, D Kumar US Patent 11804060B1, 2023 | 3 | 2023 |
Qiang JiProfessor of Electrical Eng., RPIVerified email at ecse.rpi.edu
