2 citations · 3 across the 2 of their papers we have counts for
5 papers
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
Chengkun Sun, Russell Stevens Terry, Jiang Bian +1
Accurate segmentation of multiple organs and the differentiation of pathological tissues in medical imaging are crucial but challenging, especially for nuanced classifications and…
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Chengkun Sun, Jinqian Pan, Russell Stevens Terry +2
Generative models can enhance discriminative classifiers by constructing complex feature spaces, thereby improving performance on intricate datasets. Conventional methods typically…
Towards Unified Interactive Visual Grounding in The Wild
Jie Xu, Hanbo Zhang, Qingyi Si +3
Interactive visual grounding in Human-Robot Interaction (HRI) is challenging yet practical due to the inevitable ambiguity in natural languages. It requires robots to disambiguate…
InViG: Benchmarking Interactive Visual Grounding with 500K Human-Robot Interactions
Hanbo Zhang, Jie Xu, Yuchen Mo +1
Ambiguity is ubiquitous in human communication. Previous approaches in Human-Robot Interaction (HRI) have often relied on predefined interaction templates, leading to reduced perfo…
Improving Intention Detection in Single-Trial Classification through Fusion of EEG and Eye-tracker Data
Xianliang Ge, Yunxian Pan, Sujie Wang +5
Intention decoding is an indispensable procedure in hands-free human-computer interaction (HCI). Conventional eye-tracking system using single-model fixation duration possibly issu…