I am a computer vision scientist at Nvidia (self-driveing car). Before that, I was a computer vision scientist at Tesla (Autopilot). I obtained my Ph.D degree at the Department of Electrical, Computer, and System Engineering and a M.S. in Applied Mathematics at Rensselaer Polytechnic Institute (Troy, NY). My advisor was Prof. Qiang Ji.
My research interests are machine learning and computer vision:
Nvidia (Self-driving Car), Santa Clara, CA.
Computer Vision Scientist
Jan. 2018 - present
Tesla Autopilot, Palo Alto, CA
Computer Vision Scientist
Dec. 2016 - Jan. 2018.
IBM T.J. Watson Research Center, Yorktown Heights, NY, USA.
Intern, Intelligent Information Systems group
May. 2015 - Aug. 2015.
Daimler AG, Ulm, Germany.
Part-time working student
Nov. 2009 - Mar. 2010
Yue Wu and Qiang Ji, " Facial Landmark Detection: A Literature Survey", International Journal of Computer Vision (IJCV), 2018
Chao Gou, Yue Wu, Kang Wang, Kunfeng Wang, Fei-Yue Wang and Qiang Ji, " A Joint Cascaded Framework for Simultaneous Eye Detection and Eye State Estimation", Pattern Recognition, Vol. 67, July 2017, pp. 23-31.
Yue Wu and Qiang Ji, " Discriminative Deep Face Shape Model for Facial Point Detection", International Journal of Computer Vision (IJCV), Vol. 113, Issue 1, pp 37-53, May 2015.
Shangfei Wang, Shan He, Yue Wu, Menghua He, Qiang Ji, "Fusion of Visible and Thermal Images for Facial Expression Recognition", Frontiers of Computer Science, 8(2), pp 232-242, 2014.
Qiang Ji, Kang Wang and Yue Wu, "Head Pose Estimation on Low-Quality Images", International Conference on Automatic Face and Gesture Recognition, 2018.
Yue Wu, Chao Gou and Qiang Ji, "Simultaneous Facial Landmark Detection, Pose and Deformation Estimation under Facial Occlusion", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Chao Gou, Yue Wu and Qiang Ji, " Coupled cascade regression for simultaneous facial landmark detection and head pose estimation ", IEEE Conference on Image Processing (ICIP), 2017.
Yue Wu and Qiang Ji, "Constrained Deep Transfer Feature Learning and its Applications", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Yue Wu and Qiang Ji, "Constrained Joint Cascade Regression Framework for Simultaneous Facial Action Unit Recognition and Facial Landmark Detection", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Zheng Zhang, Jeffrey Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andrew Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji, and Lijun Yin, "Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Chao Gou, Yue Wu, Fei-Yue Wang, and Qiang Ji, "Shape Augmented Regression for 3D Face Alignment", European Conference on Computer Vision Workshop (ECCV-W), 2016.
Chao Gou, Yue Wu, Kang Wang, Fei-Yue Wang, and Qiang Ji, "Learning-by-Synthesis for Accurate Eye Detection", IEEE Conference on Pattern Recognition (ICPR), 2016.
Yue Wu and Qiang Ji, " Robust Facial Landmark Detection under Significant Head Poses and Occlusion", International Conference on Computer Vision (ICCV), 2015. ANNOTATION
Yue Wu and Qiang Ji, " Shape Augmented Regression Method for Face Alignment ", 300 Videos in the Wild (300-VW) Challenge and Workshop, International Conference on Computer Vision Workshop(ICCVW), 2015.
Yue Wu, Ziheng Wang, and Qiang Ji, " A Hierarchical Probabilistic Model for Facial Feature Detection ", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Video Spotlight
Yue Wu and Qiang Ji, " Learning the Deep Features for Eye Detection in Uncontrolled Conditions ", International Conference on Pattern Recognition (ICPR), 2014.
Yue Wu and Qiang Ji, "Learning the Face Shape Models for Facial Landmark Detection in the Wild", International Conference on Pattern Recognition Workshop(ICPRW), 2014.
Yue Wu, Zuoguan Wang, and Qiang Ji, " Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines ", IEEE conference on Computer Vision and Pattern Recognition (CVPR), 2013.
RPI Founders Award of Excellence, 2016
IBM Ph.D Fellowship, Sep. 2015 - May. 2016
Travel Awards, CVPR 2015
Travel Awards, ICPR 2014
Guest reviewer, Pattern Recognition and Machine Intelligence.
Guest reviewer, International Journal of Computer Vision.
Guest reviewer, Pattern Recognition.
Guest reviewer, Journal of Image and Vision Computing.
Guest reviewer, Machine Vision and Applications.
Guest reviewer, IEEE Transactions on Neural Networks and Learning Systems.
Demo: Facial landmark tracking, expression recognition, and head pose estimation.
Demo: Driver facial tracking and facial behavior analysis.
Demo: Robot facial animation.
Demo: Real time head pose and eye gaze tracking.