5 papers
A Spatio-temporal Continuous Network for Stochastic 3D Human Motion Prediction
Hua Yu, Yaqing Hou, Xu Gui +3
Stochastic Human Motion Prediction (HMP) has received increasing attention due to its wide applications. Despite the rapid progress in generative fields, existing methods often fac…
From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
Xinyu Zhang, Shanshan Feng, Xutao Li +3
Using pre-trained large language models (LLMs) as a backbone for time series prediction has recently attracted growing research interest. Existing approaches typically split time s…
AsyncDSB: Schedule-Asynchronous Diffusion Schrödinger Bridge for Image Inpainting
Zihao Han, Baoquan Zhang, Lisai Zhang +6
Image inpainting is an important image generation task, which aims to restore corrupted image from partial visible area. Recently, diffusion Schrödinger bridge methods effectively…
UER: A Heuristic Bias Addressing Approach for Online Continual Learning
Huiwei Lin, Shanshan Feng, Baoquan Zhang +3
Online continual learning aims to continuously train neural networks from a continuous data stream with a single pass-through data. As the most effective approach, the rehearsal-ba…
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning
Huiwei Lin, Shanshan Feng, Baoquan Zhang +2
Online continual learning, aimed at developing a neural network that continuously learns new data from a single pass over an online data stream, generally suffers from catastrophic…