activity
20162023
most citedRLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

29 citations · 35 across the 14 of their papers we have counts for

collaborators

14 papers

cs.CV2023

Inflated 3D Convolution-Transformer for Weakly-supervised Carotid Stenosis Grading with Ultrasound Videos

Xinrui Zhou, Yuhao Huang, Wufeng Xue +7

Localization of the narrowest position of the vessel and corresponding vessel and remnant vessel delineation in carotid ultrasound (US) are essential for carotid stenosis grading (…

cs.CV2023

Instructive Feature Enhancement for Dichotomous Medical Image Segmentation

Lian Liu, Han Zhou, Jiongquan Chen +5

Deep neural networks have been widely applied in dichotomous medical image segmentation (DMIS) of many anatomical structures in several modalities, achieving promising performance.…

cs.CV2023

Fourier Test-time Adaptation with Multi-level Consistency for Robust Classification

Yuhao Huang, Xin Yang, Xiaoqiong Huang +7

Deep classifiers may encounter significant performance degradation when processing unseen testing data from varying centers, vendors, and protocols. Ensuring the robustness of deep…

eess.IV2023

Hierarchical Agent-based Reinforcement Learning Framework for Automated Quality Assessment of Fetal Ultrasound Video

Sijing Liu, Qilong Ying, Shuangchi He +3

Ultrasound is the primary modality to examine fetal growth during pregnancy, while the image quality could be affected by various factors. Quality assessment is essential for contr…

cs.CV202229 cited

RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection

Hangjie Yuan, Jianwen Jiang, Samuel Albanie +4

The task of Human-Object Interaction (HOI) detection targets fine-grained visual parsing of humans interacting with their environment, enabling a broad range of applications. Prior…

eess.IV2022

Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images

Van T. Manh, Jianqiao Zhou, Xiaohong Jia +7

Ultrasound (US) is the primary imaging technique for the diagnosis of thyroid cancer. However, accurate identification of nodule malignancy is a challenging task that can elude les…