10 citations · 18 across the 6 of their papers we have counts for
7 papers
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation
Lingdong Kong, Yaru Niu, Shaoyuan Xie +39
Accurate depth estimation under out-of-distribution (OoD) scenarios, such as adverse weather conditions, sensor failure, and noise contamination, is desirable for safety-critical a…
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds
Ziyang Song, Bo Yang
In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike all existing methods which usually require a large amount of human annotations for full…
ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation
Liang Xu, Ziyang Song, Dongliang Wang +9
We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including not only single-person actions but also multi-person interactive actions. Ou…
Multi-scale Matching Networks for Semantic Correspondence
Dongyang Zhao, Ziyang Song, Zhenghao Ji +3
Deep features have been proven powerful in building accurate dense semantic correspondences in various previous works. However, the multi-scale and pyramidal hierarchy of convoluti…
Supervised multi-specialist topic model with applications on large-scale electronic health record data
Ziyang Song, Xavier Sumba Toral, Yixin Xu +7
Motivation: Electronic health record (EHR) data provides a new venue to elucidate disease comorbidities and latent phenotypes for precision medicine. To fully exploit its potential…
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation
Ziyang Song, Zejian Yuan, Chong Zhang +3
In recognition-based action interaction, robots' responses to human actions are often pre-designed according to recognized categories and thus stiff. In this paper, we specify a ne…