Search Results for author:
Found 8 papers, 3 papers with code
Capturing the motion of every joint: 3D human pose and shape estimation with independent tokens
In this paper we present a novel method to estimate 3D human pose and shape from monocular videos.
Ranked #36 on
3D Human Pose Estimation
on 3DPW
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report
Various depth estimation models are now widely used on many mobile and IoT devices for image segmentation, bokeh effect rendering, object tracking and many other mobile tasks.
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation
Although vision transformers (ViTs) have achieved great success in computer vision, the heavy computational cost hampers their applications to dense prediction tasks such as semantic segmentation on mobile devices.
Sketch Me A Video
Video creation has been an attractive yet challenging task for artists to explore.
Shuffle Transformer with Feature Alignment for Video Face Parsing
This is a short technical report introducing the solution of the Team TCParser for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.
Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer
In this work, we revisit the spatial shuffle as an efficient way to build connections among windows.
Ranked #45 on
Semantic Segmentation
on ADE20K val
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
While many solutions have been proposed for this task, they are usually very computationally expensive and thus are not applicable for on-device inference.
Multi-Domain Pose Network for Multi-Person Pose Estimation and Tracking
Multi-person human pose estimation and tracking in the wild is important and challenging.
Multi-Person Pose Estimation
Multi-Person Pose Estimation and Tracking
+1
