29 citations · 35 across the 5 of their papers we have counts for
6 papers
From Denoising Training to Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
Ruxue Wen, Hangjie Yuan, Dong Ni +2
In medical image segmentation, domain generalization poses a significant challenge due to domain shifts caused by variations in data acquisition devices and other factors. These sh…
RLIPv2: Fast Scaling of Relational Language-Image Pre-training
Hangjie Yuan, Shiwei Zhang, Xiang Wang +7
Relational Language-Image Pre-training (RLIP) aims to align vision representations with relational texts, thereby advancing the capability of relational reasoning in computer visio…
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Weishan Ye, Zhiguo Zhang, Fei Teng +6
Electroencephalography (EEG) is an objective tool for emotion recognition with promising applications. However, the scarcity of labeled data remains a major challenge in this field…
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…
Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics
Hangjie Yuan, Mang Wang, Dong Ni +1
Human-Object Interaction (HOI) detection is an essential task to understand human-centric images from a fine-grained perspective. Although end-to-end HOI detection models thrive, t…
Spatio-Temporal Dynamic Inference Network for Group Activity Recognition
Hangjie Yuan, Dong Ni, Mang Wang
Group activity recognition aims to understand the activity performed by a group of people. In order to solve it, modeling complex spatio-temporal interactions is the key. Previous…