6 citations · 8 across the 5 of their papers we have counts for
5 papers
CALM-AH: An ABAW11-Calibrated Multimodal Ensemble with Reliability-Gated Multi-Expert Consensus for Video-Level Ambivalence and Hesitancy Recognition
Wenzhuo Sun, Mingjian Liang, Richard Attfield +3
Ambivalence and hesitancy (A/H) are subtle behavioural states that may be expressed through language, voice, facial activity, and other non-verbal cues. The ABAW11 A/H Video Recogn…
RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation
Kunyu Tan, Mingjian Liang
RGB-Thermal (RGB-T) semantic segmentation is essential for robotic systems operating in low-light or dark environments. However, traditional approaches often overemphasize modality…
Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks
Mingjian Liang, Junjie Hu, Chenyu Bao +3
Recently, RGB-Thermal based perception has shown significant advances. Thermal information provides useful clues when visual cameras suffer from poor lighting conditions, such as l…
Abnormal Occupancy Grid Map Recognition using Attention Network
Fuqin Deng, Hua Feng, Mingjian Liang +6
The occupancy grid map is a critical component of autonomous positioning and navigation in the mobile robotic system, as many other systems' performance depends heavily on it. To g…
FEANet: Feature-Enhanced Attention Network for RGB-Thermal Real-time Semantic Segmentation
Fuqin Deng, Hua Feng, Mingjian Liang +7
The RGB-Thermal (RGB-T) information for semantic segmentation has been extensively explored in recent years. However, most existing RGB-T semantic segmentation usually compromises…