Projects per year
Fingerprint Dive into the research topics where Vladimir Pavlovic is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 2 Similar Profiles
Bayesian networks
Engineering & Materials Science
Classifiers
Engineering & Materials Science
Hidden Markov models
Engineering & Materials Science
Proteins
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Human computer interaction
Engineering & Materials Science
Labels
Engineering & Materials Science
Time series
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects 2009 2012
- 1 Finished
RI: SMALL: NOVEL STRUCTURED REGRESSION APPROACHES TO HIGH-DIMENSIONAL MOTION ANALYSIS
National Science Foundation (National Science Foundation (NSF))
9/1/09 → 8/31/12
Project: Research project
Fish
Statistical methods
Physics
Students
Motion analysis
Research Output 1996 2019
1
Citation
(Scopus)
Cartoonish sketch-based face editing in videos using identity deformation transfer
Zhao, L., Han, F., Peng, X., Zhang, X., Kapadia, M., Pavlovic, V. & Metaxas, D. N., Apr 2019, In : Computers and Graphics (Pergamon). 79, p. 58-68 11 p.Research output: Contribution to journal › Article
Refining
Deep cooking: Predicting relative food ingredient amounts from images
Li, J., Guerrero, R. & Pavlovic, V., Oct 15 2019, MADiMa 2019 - Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, co-located with MM 2019. Association for Computing Machinery, Inc, p. 2-6 5 p. (MADiMa 2019 - Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, co-located with MM 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Cooking
Internet
Learning
Databases
Food
Efficient Deep Gaussian Process Models for Variable-Sized Inputs
Laradji, I. H., Schmidt, M., Pavlovic, V. & Kim, M., Jul 2019, 2019 International Joint Conference on Neural Networks, IJCNN 2019. Institute of Electrical and Electronics Engineers Inc., 8851768. (Proceedings of the International Joint Conference on Neural Networks; vol. 2019-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Experiments
Uncertainty
Scenario generalization of data-driven imitation models in crowd simulation
Qiao, G., Zhou, H., Kapadia, M., Yoon, S. & Pavlovic, V., Oct 28 2019, Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games. Spencer, S. N. (ed.). Association for Computing Machinery, Inc, a36. (Proceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
imitation
scenario
training method
simulation
expert
Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking
Sheng, L., Cai, J., Cham, T. J., Pavlovic, V. & Ngan, K. N., Aug 1 2019, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 41, 8, p. 1994-2007 14 p., 8502935.Research output: Contribution to journal › Article
Generative Models
Visibility
Face
Occlusion
Pose Estimation