163 citations · 966 across the 119 of their papers we have counts for
9 papers · 1 filter
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Jiafa He, Chengwei Pan, Can Yang +4
Automatic blood vessel extraction from 3D medical images is crucial for vascular disease diagnoses. Existing methods based on convolutional neural networks (CNNs) may suffer from d…
Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans
Sida Peng, Yuanqing Zhang, Yinghao Xu +4
This paper addresses the challenge of novel view synthesis for a human performer from a very sparse set of camera views. Some recent works have shown that learning implicit neural…
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Jianan Zhen, Qi Fang, Jiaming Sun +4
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view. Addressing…
Motion Capture from Internet Videos
Junting Dong, Qing Shuai, Yuanqing Zhang +3
Recent advances in image-based human pose estimation make it possible to capture 3D human motion from a single RGB video. However, the inherent depth ambiguity and self-occlusion i…
Coherent Reconstruction of Multiple Humans from a Single Image
Wen Jiang, Nikos Kolotouros, Georgios Pavlakos +2
In this work, we address the problem of multi-person 3D pose estimation from a single image. A typical regression approach in the top-down setting of this problem would first detec…
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Jiaming Sun, Linghao Chen, Yiming Xie +4
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering a point cloud with di…
Learning Feature Descriptors using Camera Pose Supervision
Qianqian Wang, Xiaowei Zhou, Bharath Hariharan +1
Recent research on learned visual descriptors has shown promising improvements in correspondence estimation, a key component of many 3D vision tasks. However, existing descriptor l…
Monocular Human Pose and Shape Reconstruction using Part Differentiable Rendering
Min Wang, Feng Qiu, Wentao Liu +3
Superior human pose and shape reconstruction from monocular images depends on removing the ambiguities caused by occlusions and shape variance. Recent works succeed in regression-b…
Deep Snake for Real-Time Instance Segmentation
Sida Peng, Wen Jiang, Huaijin Pi +3
This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. Unlike some recent methods that directly regress the coordinates of the o…