EventHPE: Event-based 3D Human Pose and Shape Estimation

1 code implementation • ICCV 2021 • Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng

Event camera is an emerging imaging sensor for capturing dynamics of moving objects as events, which motivates our work in estimating 3D human pose and shape from the event signals.

3D human pose and shape estimation Optical Flow Estimation

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

1 code implementation • 17 Oct 2017 • Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qi-Xing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas

We introduce a large-scale 3D shape understanding benchmark using data and annotation from ShapeNet 3D object database.

3D Part Segmentation 3D Reconstruction +1

3D Shape Segmentation via Shape Fully Convolutional Networks

no code implementations • 28 Feb 2017 • Pengyu Wang, Yuan Gan, Panpan Shui, Fenggen Yu, Yan Zhang, Songle Chen, Zhengxing Sun

3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images.

Semantic Segmentation

Stochastic Collapsed Variational Inference for Hidden Markov Models

no code implementations • 5 Dec 2015 • Pengyu Wang, Phil Blunsom

In this paper, we propose a stochastic collapsed variational inference algorithm for hidden Markov models, in a sequential data setting.

Variational Inference

Stochastic Collapsed Variational Inference for Sequential Data

no code implementations • 5 Dec 2015 • Pengyu Wang, Phil Blunsom

Stochastic variational inference for collapsed models has recently been successfully applied to large scale topic modelling.

Variational Inference

Collapsed Variational Bayesian Inference for PCFGs

no code implementations • WS 2013 • Pengyu Wang, Phil Blunsom

Bayesian Inference