17 citations · 35 across the 18 of their papers we have counts for
6 papers · 1 filter
Stationarity Exploration for Multivariate Time Series Forecasting
Hao Liu, Chun Yang, Zhang xiaoxing +2
Deep learning-based time series forecasting has found widespread applications. Recently, converting time series data into the frequency domain for forecasting has become popular fo…
Unsupervised Real-World Super-Resolution via Rectified Flow Degradation Modelling
Hongyang Zhou, Xiaobin Zhu, Liuling Chen +4
Unsupervised real-world super-resolution (SR) faces critical challenges due to the complex, unknown degradation distributions in practical scenarios. Existing methods struggle to g…
Similarity Matters: A Novel Depth-guided Network for Image Restoration and A New Dataset
Junyi He, Liuling Chen, Hongyang Zhou +5
Image restoration has seen substantial progress in recent years. However, existing methods often neglect depth information, which hurts similarity matching, results in attention di…
Semantic-Enhanced Time-Series Forecasting via Large Language Models
Hao Liu, Xiaoxing Zhang, Chun Yang +1
Time series forecasting plays a significant role in finance, energy, meteorology, and IoT applications. Recent studies have leveraged the generalization capabilities of large langu…
VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation
Shi-Xue Zhang, Hongfa Wang, Duojun Huang +3
Video captions play a crucial role in text-to-video generation tasks, as their quality directly influences the semantic coherence and visual fidelity of the generated videos. Altho…
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework
Henrique Morimitsu, Xiaobin Zhu, Roberto M. Cesar +2
Optical flow estimation is essential for video processing tasks, such as restoration and action recognition. The quality of videos is constantly increasing, with current standards…