3 citations · 3 across the 4 of their papers we have counts for
4 papers
Iterative Closed-Loop Motion Synthesis for Scaling the Capabilities of Humanoid Control
Weisheng Xu, Qiwei Wu, Jiaxi Zhang +7
Physics-based humanoid control relies on training with motion datasets that have diverse data distributions. However, the fixed difficulty distribution of datasets limits the perfo…
Spherical Latent Motion Prior for Physics-Based Simulated Humanoid Control
Jing Tan, Weisheng Xu, Xiangrui Jiang +11
Learning motion priors for physics-based humanoid control is an active research topic. Existing approaches mainly include variational autoencoders (VAE) and adversarial motion prio…
Uncertainty-Aware Concept and Motion Segmentation for Semi-Supervised Angiography Videos
Yu Luo, Guangyu Wei, Yangfan Li +2
Segmentation of the main coronary artery from X-ray coronary angiography (XCA) sequences is crucial for the diagnosis of coronary artery diseases. However, this task is challenging…
Emergence of Shape Bias in Convolutional Neural Networks through Activation Sparsity
Tianqin Li, Ziqi Wen, Yangfan Li +1
Current deep-learning models for object recognition are known to be heavily biased toward texture. In contrast, human visual systems are known to be biased toward shape and structu…