activity
20122022
most citedConvolutional Pose Machines

291 citations · 382 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022★ 1 cited

EigenFairing: 3D Model Fairing using Image Coherence

Pragyana Mishra, Omead Amidi, Takeo Kanade

A surface is often modeled as a triangulated mesh of 3D points and textures associated with faces of the mesh. The 3D points could be either sampled from range data or derived from…

cs.CV2019

ReshapeGAN: Object Reshaping by Providing A Single Reference Image

Ziqiang Zheng, Yang Wu, Zhibin Yu +3

The aim of this work is learning to reshape the object in an input image to an arbitrary new shape, by just simply providing a single reference image with an object instance in the…

cs.CV2017★ 4 cited

Face Alignment Robust to Pose, Expressions and Occlusions

Vishnu Naresh Boddeti, Myung-Cheol Roh, Jongju Shin +2

We propose an Ensemble of Robust Constrained Local Models for alignment of faces in the presence of significant occlusions and of any unknown pose and expression. To account for pa…

cs.CV2016★ 9 cited

Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator

Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti +4

We introduce the concept of a Visual Compiler that generates a scene specific pedestrian detector and pose estimator without any pedestrian observations. Given a single image and a…

cs.CV2016★ 10 cited

Panoptic Studio: A Massively Multiview System for Social Interaction Capture

Hanbyul Joo, Tomas Simon, Xulong Li +10

We present an approach to capture the 3D motion of a group of people engaged in a social interaction. The core challenges in capturing social interactions are: (1) occlusion is fun…

cs.CV2016★ 18 cited

How useful is photo-realistic rendering for visual learning?

Yair Movshovitz-Attias, Takeo Kanade, Yaser Sheikh

Data seems cheap to get, and in many ways it is, but the process of creating a high quality labeled dataset from a mass of data is time-consuming and expensive. With the advent of…