activity
20172021
most citedReinventing 2D Convolutions for 3D Images

116 citations · 169 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2021

Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online Adaptation

Shanyan Guan, Jingwei Xu, Michelle Z. He +3

We consider a new problem of adapting a human mesh reconstruction model to out-of-domain streaming videos, where performance of existing SMPL-based models are significantly affecte…

cs.RO2021

PyTouch: A Machine Learning Library for Touch Processing

Mike Lambeta, Huazhe Xu, Jingwei Xu +4

With the increased availability of rich tactile sensors, there is an equally proportional need for open-source and integrated software capable of efficiently and effectively proces…

cs.CV2021★ 4 cited

Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction

Shanyan Guan, Jingwei Xu, Yunbo Wang +2

This paper considers a new problem of adapting a pre-trained model of human mesh reconstruction to out-of-domain streaming videos. However, most previous methods based on the param…

cs.CV2020★ 6 cited

Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes

Jiashun Wang, Huazhe Xu, Jingwei Xu +2

Synthesizing 3D human motion plays an important role in many graphics applications as well as understanding human activity. While many efforts have been made on generating realisti…

cs.CV2020★ 1 cited

Hierarchical Style-based Networks for Motion Synthesis

Jingwei Xu, Huazhe Xu, Bingbing Ni +3

Generating diverse and natural human motion is one of the long-standing goals for creating intelligent characters in the animated world. In this paper, we propose a self-supervised…

cs.CV2020★ 9 cited

Video Prediction via Example Guidance

Jingwei Xu, Huazhe Xu, Bingbing Ni +2

In video prediction tasks, one major challenge is to capture the multi-modal nature of future contents and dynamics. In this work, we propose a simple yet effective framework that…

eess.IV2020★ 13 cited

Learning Tumor Growth via Follow-Up Volume Prediction for Lung Nodules

Yamin Li, Jiancheng Yang, Yi Xu +5

Follow-up serves an important role in the management of pulmonary nodules for lung cancer. Imaging diagnostic guidelines with expert consensus have been made to help radiologists m…

cs.CV2020★ 16 cited

AlignShift: Bridging the Gap of Imaging Thickness in 3D Anisotropic Volumes

Jiancheng Yang, Yi He, Xiaoyang Huang +4

This paper addresses a fundamental challenge in 3D medical image processing: how to deal with imaging thickness. For anisotropic medical volumes, there is a significant performance…

eess.IV2019★ 116 cited

Reinventing 2D Convolutions for 3D Images

Jiancheng Yang, Xiaoyang Huang, Yi He +4

There have been considerable debates over 2D and 3D representation learning on 3D medical images. 2D approaches could benefit from large-scale 2D pretraining, whereas they are gene…

cs.CV2017★ 1 cited

Skeleton-aided Articulated Motion Generation

Yichao Yan, Jingwei Xu, Bingbing Ni +1

This work make the first attempt to generate articulated human motion sequence from a single image. On the one hand, we utilize paired inputs including human skeleton information a…

cs.CV2017★ 3 cited

Depth Structure Preserving Scene Image Generation

Wendong Zhang, Bingbing Ni, Yichao Yan +2

Key to automatically generate natural scene images is to properly arrange among various spatial elements, especially in the depth direction. To this end, we introduce a novel depth…