Juan Carlos Niebles Duque

Clinical Instructor, Medicine - Primary Care and Population Health

Web page: http://www.niebles.net

Bio

Juan Carlos Niebles received an Engineering degree in Electronics from Universidad del Norte (Colombia) in 2002, an M.Sc. degree in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 2007, and a Ph.D. degree in Electrical Engineering from Princeton University in 2011. He is a Senior Research Scientist at the Stanford AI Lab and Associate Director of Research at the Stanford-Toyota Center for AI Research since 2015. He is also an Associate Professor of Electrical and Electronic Engineering in Universidad del Norte (Colombia) since 2011. His research interests are in computer vision and machine learning, with a focus on visual recognition and understanding of human actions and activities, objects, scenes, and events. He is a recipient of a Google Faculty Research award (2015), the Microsoft Research Faculty Fellowship (2012), a Google Research award (2011) and a Fulbright Fellowship (2005).

Academic Appointments

Clinical Instructor, Medicine - Primary Care and Population Health

Honors & Awards

Faculty Research Award, Google (2015)
Senior Member, IEEE (2015)
Faculty Fellow, Microsoft Research (2012)
Research Award, Google (2011)
Fulbright PhD Fellowship, Fulbright-Colciencias-DNP (2005)

Boards, Advisory Committees, Professional Organizations

Steering Committee, AI Index (2018 - Present)
Associate Director of Research, Stanford AI Lab-Toyota Center for AI Research (2015 - Present)
Senior Member, IEEE (2015 - Present)
Member, IEEE Computer Society (2014 - Present)
Member, IEEE (2007 - Present)

Professional Education

Ph.D., Princeton University, Electrical Engineering (2011)
M.A., Princeton University, Electrical Engineering (2009)
M.Sc., University of Illinois at Urbana-Champaign, Electrical and Computer Engineering (2007)
Engineer, Universidad del Norte, Electronics Engineering (2002)

Contact

Academic
jniebles@stanford.edu

University - Academic staff Department: Computer Science Position: Sr Res Engineer

Alternate Contact Helen Roman hmroman@stanford.edu
- (650) 498-3113 (office)

Additional Info

Mail Code: 9020
Other Names:
Juan Carlos Niebles

Current Research and Scholarly Interests

My research work is in computer vision. The goal of my research is to enable computers and robots to perceive the visual world by developing novel computer vision algorithms for automatic analysis of images and videos. From the scientific point of view, we tackle fundamental open problems in computer vision research related to the visual recognition and understanding of human actions and activities, objects, scenes, and events. From the application perspective, we develop systems that solve practical world problems by introducing cutting-edge computer vision technologies into new application domains.

2019-20 Courses

Computer Vision: Foundations and Applications
CS 131 (Aut)
Topics in Computer Graphics: Computational Video Manipulation
CS 448V (Spr)
Independent Studies (6)
- Curricular Practical Training
  CS 390A (Sum)
- Independent Project
  CS 399 (Aut, Win, Spr)
- Independent Work
  CS 199 (Aut)
- Senior Project
  CS 191 (Spr)
- Supervised Undergraduate Research
  CS 195 (Win)
- Writing Intensive Senior Project (WIM)
  CS 191W (Win)
Prior Year Courses
2018-19 Courses
- AI-Assisted Care
  MED 277 (Aut)
- Computer Vision: Foundations and Applications
  CS 131 (Aut)
2017-18 Courses
- Computer Vision: Foundations and Applications
  CS 131 (Aut)
2016-17 Courses
- Computer Vision: Foundations and Applications
  CS 131 (Aut)

Stanford Advisees

Master's Program Advisor
Nicolas Sanchez

All Publications

Action-Agnostic Human Pose Forecasting Chiu, H., Adeli, E., Wang, B., Huang, D., Niebles, J., IEEE IEEE. 2019: 1423–32

View details for DOI 10.1109/WACV.2019.00156

View details for Web of Science ID 000469423400149
Interpretable Visual Question Answering by Visual Grounding from Attention Supervision Mining Zhang, Y., Niebles, J., Soto, A., IEEE IEEE. 2019: 349–57

View details for DOI 10.1109/WACV.2019.00043

View details for Web of Science ID 000469423400036
Learning to Decompose and Disentangle Representations for Video Prediction Hsieh, J., Liu, B., Huang, D., Fei-Fei, L., Niebles, J., Bengio, S., Wallach, H., Larochelle, H., Grauman, K., CesaBianchi, N., Garnett, R. NEURAL INFORMATION PROCESSING SYSTEMS (NIPS). 2018

View details for Web of Science ID 000461823300048
Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos Huang, D., Buch, S., Dery, L., Garg, A., Li Fei-Fei, Niebles, J., IEEE IEEE. 2018: 5948–57

View details for DOI 10.1109/CVPR.2018.00623

View details for Web of Science ID 000457843606011
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets Huang, D., Ramanathan, V., Mahajan, D., Torresani, L., Paluri, M., Li Fei-Fei, Niebles, J., IEEE IEEE. 2018: 7366–75

View details for DOI 10.1109/CVPR.2018.00769

View details for Web of Science ID 000457843607054
Sparse composition of body poses and atomic actions for human activity recognition in RGB-D videos IMAGE AND VISION COMPUTING Lillo, I., Niebles, J., Soto, A. 2017; 59: 63–75

View details for DOI 10.1016/j.imavis.2016.11.004

View details for Web of Science ID 000397687900005
Visual Forecasting by Imitating Dynamics in Natural Sequences Zeng, K., Shen, W. B., Huang, D., Sun, M., Niebles, J., IEEE IEEE. 2017: 3018–27

View details for DOI 10.1109/ICCV.2017.326

View details for Web of Science ID 000425498403009
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos Huang, D., Lim, J. J., Fei-Fei, L., Niebles, J., IEEE IEEE. 2017: 1032–41

View details for DOI 10.1109/CVPR.2017.116

View details for Web of Science ID 000418371401011
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization Zeng, K., Chou, S., Chan, F., Niebles, J., Sun, M., IEEE IEEE. 2017: 1330–38

View details for DOI 10.1109/CVPR.2017.146

View details for Web of Science ID 000418371401041
Risky Region Localization with Point Supervision Kozuka, K., Niebles, J., IEEE IEEE. 2017: 246–53

View details for DOI 10.1109/ICCVW.2017.38

View details for Web of Science ID 000425239600031
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets Lillo, I., Niebles, J., Soto, A., IEEE IEEE. 2016: 1981–90

View details for DOI 10.1109/CVPR.2016.218

View details for Web of Science ID 000400012302004
Title Generation for User Generated Videos Zeng, K., Chen, T., Niebles, J., Sun, M., Leibe, B., Matas, J., Sebe, N., Welling, M. SPRINGER INTERNATIONAL PUBLISHING AG. 2016: 609–25

View details for DOI 10.1007/978-3-319-46475-6_38

View details for Web of Science ID 000389383900038
DAPs: Deep Action Proposals for Action Understanding Escorcia, V., Heilbron, F., Niebles, J., Ghanem, B., Leibe, B., Matas, J., Sebe, N., Welling, M. SPRINGER INTERNATIONAL PUBLISHING AG. 2016: 768–84

View details for DOI 10.1007/978-3-319-46487-9_47

View details for Web of Science ID 000389384800047
Connectionist Temporal Modeling for Weakly Supervised Action Labeling Huang, D., Li Fei-Fei, Niebles, J., Leibe, B., Matas, J., Sebe, N., Welling, M. SPRINGER INTERNATIONAL PUBLISHING AG. 2016: 137–53

View details for DOI 10.1007/978-3-319-46493-0_9

View details for Web of Science ID 000389385100009
Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos Heilbron, F., Niebles, J., Ghanem, B., IEEE IEEE. 2016: 1914–23

View details for DOI 10.1109/CVPR.2016.211

View details for Web of Science ID 000400012301103
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification 11th European Conference on Computer Vision Niebles, J. C., Chen, C., Li Fei-Fei, F. F. SPRINGER-VERLAG BERLIN. 2010: 392–405

View details for Web of Science ID 000286164000029