activity
20162020
most citedEfficient Continuous Pareto Exploration in Multi-Task Learning

30 citations · 54 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2020

Monocular Reconstruction of Neural Face Reflectance Fields

Mallikarjun B R., Ayush Tewari, Tae-Hyun Oh +7

The reflectance field of a face describes the reflectance properties responsible for complex lighting effects including diffuse, specular, inter-reflection and self shadowing. Most…

cs.LG202030 cited

Efficient Continuous Pareto Exploration in Multi-Task Learning

Pingchuan Ma, Tao Du, Wojciech Matusik

Tasks in multi-task learning often correlate, conflict, or even compete with each other. As a result, a single solution that is optimal for all tasks rarely exists. Recent papers i…

cs.CV2019

Gaze360: Physically Unconstrained Gaze Estimation in the Wild

Petr Kellnhofer, Adria Recasens, Simon Stent +2

Understanding where people are looking is an informative social cue. In this work, we present Gaze360, a large-scale gaze-tracking dataset and method for robust 3D gaze estimation…

cs.CV2019

Speech2Face: Learning the Face Behind a Voice

Tae-Hyun Oh, Tali Dekel, Changil Kim +4

How much can we infer about a person's looks from the way they speak? In this paper, we study the task of reconstructing a facial image of a person from a short audio recording of…

cs.HC2019

Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments

Alexandre Kaspar, Liane Makatura, Wojciech Matusik

This work presents a novel interactive system for simple garment composition and surface patterning. Our approach makes it easier for casual users to customize machine-knitted garm…

cs.CV20199 cited

Neural Inverse Knitting: From Images to Manufacturing Instructions

Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura +3

Motivated by the recent potential of mass customization brought by whole-garment knitting machines, we introduce the new problem of automatic machine instruction generation using a…