activity
20172021
most citedPyTorch: An Imperative Style, High-Performance Deep Learning Library

16.2k citations · 16.4k across the 11 of their papers we have counts for

collaborators

17 papers

cs.CV2021

RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream

Zhuo Su, Lan Xu, Dawei Zhong +4

High-quality 4D reconstruction of human performance with complex interactions to various objects is essential in real-world scenarios, which enables numerous immersive VR/AR applic…

cs.CV2021

Revisiting Light Field Rendering with Deep Anti-Aliasing Neural Network

Gaochang Wu, Yebin Liu, Lu Fang +1

The light field (LF) reconstruction is mainly confronted with two challenges, large disparity and the non-Lambertian effect. Typical approaches either address the large disparity c…

eess.IV2021165 cited

Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications

Gaochang Wu, Yebin Liu, Lu Fang +2

In this paper, a novel convolutional neural network (CNN)-based framework is developed for light field reconstruction from a sparse set of views. We indicate that the reconstructio…

cs.CV2020

Zoom in to the details of human-centric videos

Guanghan Li, Yaping Zhao, Mengqi Ji +2

Presenting high-resolution (HR) human appearance is always critical for the human-centric videos. However, current imagery equipment can hardly capture HR details all the time. Exi…

cs.CV202034 cited

SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis

Mengqi Ji, Jinzhi Zhang, Qionghai Dai +1

Multi-view stereopsis (MVS) tries to recover the 3D model from 2D images. As the observations become sparser, the significant 3D information loss makes the MVS problem more challen…

cs.CV20205 cited

OccuSeg: Occupancy-aware 3D Instance Segmentation

Lei Han, Tian Zheng, Lan Xu +1

3D instance segmentation, with a variety of applications in robotics and augmented reality, is in large demands these days. Unlike 2D images that are projective observations of the…