1 citations · 1 across the 9 of their papers we have counts for
9 papers
UniBioTransfer: A Unified Framework for Multiple Biometrics Transfer
Caiyi Sun, Yujing Sun, Xiangyu Li +5
Deepface generation has traditionally followed a task-driven paradigm, where distinct tasks (e.g., face transfer and hair transfer) are addressed by task-specific models. Neverthel…
Driving Like Yourself: A Benchmark for Closed-Loop Personalized End-to-End Autonomous Driving
Xiaoru Dong, Ruiqin Li, Xiao Han +7
Human driving behavior is inherently diverse, yet most end-to-end autonomous driving (E2E-AD) systems learn a single average driving style, neglecting individual differences. Achie…
HUMOF: Human Motion Forecasting in Interactive Social Scenes
Caiyi Sun, Yujing Sun, Xiao Han +5
Complex scenes present significant challenges for predicting human behaviour due to the abundance of interaction information, such as human-human and humanenvironment interactions.…
UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis
Zemin Yang, Yujing Sun, Xidong Peng +2
Image demoiréing poses one of the most formidable challenges in image restoration, primarily due to the unpredictable and anisotropic nature of moiré patterns. Limited by the quant…
Enhancing Few-Shot Stock Trend Prediction with Large Language Models
Yiqi Deng, Xingwei He, Jiahao Hu +1
The goal of stock trend prediction is to forecast future market movements for informed investment decisions. Existing methods mostly focus on predicting stock trends with supervise…
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
Shijie Na, Yuzhi Liang, Siu-Ming Yiu
Federated learning client selection is crucial for determining participant clients while balancing model accuracy and communication efficiency. Existing methods have limitations in…
Extreme Two-View Geometry From Object Poses with Diffusion Models
Yujing Sun, Caiyi Sun, Yuan Liu +2
Human has an incredible ability to effortlessly perceive the viewpoint difference between two images containing the same object, even when the viewpoint change is astonishingly vas…
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
Ke Zhang, Lichao Sun, Bolin Ding +2
Behemoth graphs are often fragmented and separately stored by multiple data owners as distributed subgraphs in many realistic applications. Without harming data privacy, it is natu…
Deep Multiple Instance Learning For Forecasting Stock Trends Using Financial News
Yiqi Deng, Siu Ming Yiu
A major source of information can be taken from financial news articles, which have some correlations about the fluctuation of stock trends. In this paper, we investigate the influ…