68 citations · 169 across the 9 of their papers we have counts for
9 papers
GHOST: Grounded Human Motion Generation with Open Vocabulary Scene-and-Text Contexts
Zoltán Á. Milacski, Koichiro Niinuma, Ryosuke Kawamura +2
The connection between our 3D surroundings and the descriptive language that characterizes them would be well-suited for localizing and generating human motion in context but for o…
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
Lin Zhang, Linghan Xu, Saman Motamed +2
Unsupervised domain adaptation (UDA) for image classification has made remarkable progress in transferring classification knowledge from a labeled source domain to an unlabeled tar…
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement
Alexander Richard, Michael Zollhoefer, Yandong Wen +2
This paper presents a generic method for generating full facial 3D animation from speech. Existing approaches to audio-driven facial animation exhibit uncanny or static upper face…
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality
Amin Jourabloo, Baris Gecer, Fernando De la Torre +7
Social presence, the feeling of being there with a real person, will fuel the next generation of communication systems driven by digital humans in virtual reality (VR). The best 3D…
Discriminative Optimization: Theory and Applications to Computer Vision Problems
Jayakorn Vongkulbhisal, Fernando De la Torre, João P. Costeira
Many computer vision problems are formulated as the optimization of a cost function. This approach faces two main challenges: (i) designing a cost function with a local optimum at…
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection
Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn
Facial action units (AUs) are essential to decode human facial expressions. Researchers have focused on training AU detectors with a variety of features and classifiers. However, s…
Feature and Region Selection for Visual Learning
Ji Zhao, Liantao Wang, Ricardo Cabral +1
Visual learning problems such as object classification and action recognition are typically approached using extensions of the popular bag-of-words (BoW) model. Despite its great s…
Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision
Xuehan Xiong, Fernando De la Torre
Many computer vision problems (e.g., camera calibration, image alignment, structure from motion) are solved with nonlinear optimization methods. It is generally accepted that secon…
Fixed-Rank Representation for Unsupervised Visual Learning
Risheng Liu, Zhouchen Lin, Fernando De la Torre +1
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-the-art technique…