33 citations · 178 across the 28 of their papers we have counts for
5 papers · 1 filter
Accounting for Temporal Variability in Functional Magnetic Resonance Imaging Improves Prediction of Intelligence
Yang Li, Xin Ma, Raj Sunderraman +2
Neuroimaging-based prediction methods for intelligence and cognitive abilities have seen a rapid development in literature. Among different neuroimaging modalities, prediction base…
APSNet: Attention Based Point Cloud Sampling
Yang Ye, Xiulong Yang, Shihao Ji
Processing large point clouds is a challenging task. Therefore, the data is often downsampled to a smaller size such that it can be stored, transmitted and processed more efficient…
Towards Bridging the Performance Gaps of Joint Energy-based Models
Xiulong Yang, Qing Su, Shihao Ji
Can we train a hybrid discriminative-generative model within a single network? This question has recently been answered in the affirmative, introducing the field of Joint Energy-ba…
Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model
Xiulong Yang, Sheng-Min Shih, Yinlin Fu +2
Diffusion Denoising Probability Models (DDPM) and Vision Transformer (ViT) have demonstrated significant progress in generative tasks and discriminative tasks, respectively, and th…
ChiTransformer:Towards Reliable Stereo from Cues
Qing Su, Shihao Ji
Current stereo matching techniques are challenged by restricted searching space, occluded regions and sheer size. While single image depth estimation is spared from these challenge…