238 citations · 268 across the 8 of their papers we have counts for
8 papers
Large AI Models in Health Informatics: Applications, Challenges, and the Future
Jianing Qiu, Lin Li, Jiankai Sun +11
Large AI models, or foundation models, are models recently emerging with massive scales both parameter-wise and data-wise, the magnitudes of which can reach beyond billions. Once p…
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions
Peilun Shi, Jiachuan Peng, Jianing Qiu +3
Accurate depth estimation under adverse night conditions has practical impact and applications, such as on autonomous driving and rescue robots. In this work, we studied monocular…
MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model
Xinwei Ju, Frank Po Wen Lo, Jianing Qiu +3
Food recommendation system has proven as an effective technology to provide guidance on dietary choices, and this is especially important for patients suffering from chronic diseas…
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery
Ruiqi Zhu, Dandan Zhang, Benny Lo
In recent decades, the tremendous benefits surgical robots have brought to surgeons and patients have been witnessed. With the dexterous operation and the great precision, surgical…
Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-Modal Fusion
Jianing Qiu, Lipeng Chen, Xiao Gu +5
In this paper, we address the problem of forecasting the trajectory of an egocentric camera wearer (ego-person) in crowded spaces. The trajectory forecasting ability learned from t…
Occlusion-Invariant Rotation-Equivariant Semi-Supervised Depth Based Cross-View Gait Pose Estimation
Xiao Gu, Jianxin Yang, Hanxiao Zhang +5
Accurate estimation of three-dimensional human skeletons from depth images can provide important metrics for healthcare applications, especially for biomechanical gait analysis. Ho…
Surgical Gesture Recognition Based on Bidirectional Multi-Layer Independently RNN with Explainable Spatial Feature Extraction
Dandan Zhang, Ruoxi Wang, Benny Lo
Minimally invasive surgery mainly consists of a series of sub-tasks, which can be decomposed into basic gestures or contexts. As a prerequisite of autonomic operation, surgical ges…
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution
Ruoxi Wang, Dandan Zhang, Qingbiao Li +2
In Robot-Assisted Minimally Invasive Surgery (RAMIS), a camera assistant is normally required to control the position and zooming ratio of the laparoscope, following the surgeon's…