29 citations · 181 across the 51 of their papers we have counts for
8 papers · 1 filter
Variable-state Latent Conditional Random Fields for Facial Expression Recognition and Action Unit Detection
Robert Walecki, Ognjen Rudovic, Vladimir Pavlovic +1
Automated recognition of facial expressions of emotions, and detection of facial action units (AUs), from videos depends critically on modeling of their dynamics. These dynamics ar…
Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes
Hai X. Pham, Chongyu Chen, Luc N. Dao +3
We introduce a novel robust hybrid 3D face tracking framework from RGBD video streams, which is capable of tracking head pose and facial actions without pre-calibration or interven…
Intrinsic Non-stationary Covariance Function for Climate Modeling
Chintan A. Dalal, Vladimir Pavlovic, Robert E. Kopp
Designing a covariance function that represents the underlying correlation is a crucial step in modeling complex natural systems, such as climate models. Geospatial datasets at a g…
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Behnam Babagholami-Mohamadabadi, Sejong Yoon, Vladimir Pavlovic
Bayesian models provide a framework for probabilistic modelling of complex datasets. However, many of such models are computationally demanding especially in the presence of large…
Gaussian Process for Noisy Inputs with Ordering Constraints
Cuong Tran, Vladimir Pavlovic, Robert Kopp
We study the Gaussian Process regression model in the context of training data with noise in both input and output. The presence of two sources of noise makes the task of learning…
Discovering Characteristic Landmarks on Ancient Coins using Convolutional Networks
Jongpil Kim, Vladimir Pavlovic
In this paper, we propose a novel method to find characteristic landmarks on ancient Roman imperial coins using deep convolutional neural network models (CNNs). We formulate an opt…