Research Area
Year Published

89 Results

June 18, 2018

Modeling Facial Geometry using Compositional VAEs

Computer Vision and Pattern Recognition (CVPR)

We propose a method for learning non-linear face geometry representations using deep generative models. Our model is a variational autoencoder with multiple levels of hidden variables where lower layers capture global geometry and higher ones encode more local deformations.

By: Timur Bagautdinov, Chenglei Wu, Jason Saragih, Pascal Fua, Yaser Sheikh

June 18, 2018

Eye In-Painting with Exemplar Generative Adversarial Networks

Computer Vision and Pattern Recognition (CVPR)

This paper introduces a novel approach to in-painting where the identity of the object to remove or change is preserved and accounted for at inference time: Exemplar GANs (ExGANs). ExGANs are a type of conditional GAN that utilize exemplar information to produce high-quality, personalized in-painting results.

By: Brian Dolhansky, Cristian Canton Ferrer

June 18, 2018

Total Capture: A 3D Deformation Model for Tracking Faces, Hands, and Bodies

Computer Vision and Pattern Recognition (CVPR)

We present a unified deformation model for the markerless capture of human movement at multiple scales, including facial expressions, body motion, and hand gestures.

By: Hanbyul Joo, Tomas Simon, Yaser Sheikh

June 18, 2018

Audio to Body Dynamics

Computer Vision and Pattern Recognition (CVPR)

We present a method that gets as input an audio of violin or piano playing, and outputs a video of skeleton predictions which are further used to animate an avatar. The key idea is to create an animation of an avatar that moves their hands similarly to how a pianist or violinist would do, just from audio.

By: Eli Shlizerman, Lucio Dery, Hayden Schoen, Ira Kemelmacher Shlizerman

June 18, 2018

Detail-Preserving Pooling in Deep Networks

Computer Vision and Pattern Recognition (CVPR)

In this paper, we aim to leverage recent results on image downscaling for the purposes of deep learning.

By: Faraz Saeedan, Nicolas Weber, Michael Goesele, Stefan Roth

June 16, 2018

A common cause in the phenomenological and sensorimotor correlates of body ownership

International Multisensory Research Forum

The feeling that our limbs belong to our body is at the core of bodily self-consciousness. Over the years, limb ownership has been assessed through several types of measurements, including questionnaires and sensorimotor tasks assessing the perceived location of the hand with a visual-proprioceptive conflict.

By: Majed Samad, Cesare Parise, Sean Keller, Massimiliano Di Luca
Areas: AR/VR

June 13, 2018

A Comparative Study of Phoneme- and Word-Based Learning of English Words Presented to the Skin

Eurohaptics

Past research has demonstrated that speech communication on the skin is entirely achievable. However, there is still no definitive conclusion on the best training method that minimizes the time it takes for users to reach a prescribed performance level with a speech communication device. The present study reports the design and testing of two learning approaches with a system that translates English phonemes to haptic stimulation patterns (haptic symbols).

By: Yang Jiao, Frederico M. Severgnini, Juan S. Martinez, Jaehong Jung, Hong Z Tan, Charlotte M. Reed, E. Courtenay Wilson, Frances Lau, Ali Israr, Robert Turcott, Keith Klumb, Freddy Abnousi

June 13, 2018

Improving Perception Accuracy with Multi-sensory Haptic Cue Delivery

Eurohaptics

This paper presents a novel, wearable, and multi-sensory haptic feedback system intended to support the transmission of large sets of haptic cues that are accurately perceived by the human user. Previous devices have focused on the optimization of haptic cue transmission using a single modality and have typically employed arrays of haptic tactile actuators to maximize information throughput to a user.

By: Nathan Dunkelberger, Joshua Bradley, Jennifer L. Sullivan, Ali Israr, Frances Lau, Keith Klumb, Freddy Abnousi, Marcia K. O’Malley

June 13, 2018

Efficient Evaluation of Coding Strategies for Transcutaneous Language Communication

Eurohaptics 2018

Communication of natural language via the skin has seen renewed interest with the advent of mobile devices and wearable technology. Efficient evaluation of candidate haptic encoding algorithms remains a significant challenge. We present 4 algorithms along with our methods for evaluation, which are based on discriminability, learnability, and generalizability. Advantageously, mastery of an extensive vocabulary is not required.

By: Robert Turcott, Jennifer Chen, Pablo Castillo, Brian Knott, Wahyudinata Setiawan, Forrest Briggs, Keith Klumb, Freddy Abnousi, Prasad Chakka, Frances Lau, Ali Israr

June 1, 2018

The Immersive VR Self: Performance, Embodiment and Presence in Immersive Virtual Reality Environments

Book chapter from A Networked Self and Human Augmentics, AI, Sentience

Virtual avatars are a common way to present oneself in online social interactions. From cartoonish emoticons to hyper-realistic humanoids, these online representations help us portray a certain image to our respective audiences.

By: Raz Schwartz, William Steptoe