Search Results for author:
Found 11 papers, 5 papers with code
SimpleEgo: Predicting Probabilistic Body Pose from Egocentric Cameras
This presents a challenging scenario, as parts of the body often fall outside of the image or are occluded.
Ranked #5 on
Egocentric Pose Estimation
on UnrealEgo
HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details
3D Morphable Models (3DMMs) demonstrate great potential for reconstructing faithful and animatable 3D facial surfaces from a single image.
Ranked #1 on
3D Face Reconstruction
on REALY (side-view)
Procedural Humans for Computer Vision
Recent work has shown the benefits of synthetic data for use in computer vision, with applications ranging from autonomous driving to face landmark detection and reconstruction.
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
We demonstrate that it is possible to perform face-related computer vision in the wild using synthetic data alone.
Ranked #2 on
Face Parsing
on Helen
(using extra training data)
CONFIG: Controllable Neural Face Image Generation
Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind.
Multimodal Sentiment Analysis with Word-Level Fusion and Reinforcement Learning
In this paper, we propose the Gated Multimodal Embedding LSTM with Temporal Attention (GME-LSTM(A)) model that is composed of 2 modules.
Attended End-to-end Architecture for Age Estimation from Facial Expression Videos
In this paper, we present an end-to-end architecture for age estimation, called Spatially-Indexed Attention Model (SIAM), which is able to simultaneously learn both the appearance and dynamics of age from raw videos of facial expressions.
Preserving Intermediate Objectives: One Simple Trick to Improve Learning for Hierarchical Models
In this work, we focus on improving learning for such hierarchical models and demonstrate our method on the task of speaker trait prediction.
Multimodal Machine Learning: A Survey and Taxonomy
Our experience of the world is multimodal - we see objects, hear sounds, feel texture, smell odors, and taste flavors.
Temporal Attention-Gated Model for Robust Sequence Classification
An important advantage of our approach is interpretability since the temporal attention weights provide a meaningful value for the salience of each time step in the sequence.
Convolutional Experts Constrained Local Model for Facial Landmark Detection
In our work, we present a novel local detector -- Convolutional Experts Network (CEN) -- that brings together the advantages of neural architectures and mixtures of experts in an end-to-end framework.
