110 citations · 925 across the 79 of their papers we have counts for
10 papers · 2 filters
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…
Location-aware Single Image Reflection Removal
Zheng Dong, Ke Xu, Yin Yang +3
This paper proposes a novel location-aware deep-learning-based single image reflection removal method. Our network has a reflection detection module to regress a probabilistic refl…
Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
Wanquan Feng, Juyong Zhang, Hongrui Cai +3
Learning non-rigid registration in an end-to-end manner is challenging due to the inherent high degrees of freedom and the lack of labeled training data. In this paper, we resolve…
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Yan Xu, Zhaoyang Huang, Kwan-Yee Lin +5
Recent learning-based LiDAR odometry methods have demonstrated their competitiveness. However, most methods still face two substantial challenges: 1) the 2D projection representati…
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…
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…
BCNet: Learning Body and Cloth Shape from A Single Image
Boyi Jiang, Juyong Zhang, Yang Hong +3
In this paper, we consider the problem to automatically reconstruct garment and body shapes from a single near-front view RGB image. To this end, we propose a layered garment repre…
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
Ran Yi, Zipeng Ye, Juyong Zhang +2
Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pos…
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…