N Ma, Z Wu, Y Cheung, Y Guo, Y Gao… - Tsinghua Science …, 2022 - ieeexplore.ieee.org
Human action recognition and posture prediction aim to recognize and predict respectively the action and postures of persons in videos. They are both active research topics in …
Extreme precipitation is a considerable contributor to meteorological disasters and there is a great need to mitigate its socioeconomic effects through skilful nowcasting that has high …
Z Gao, C Tan, L Wu, SZ Li - … of the IEEE/CVF conference on …, 2022 - openaccess.thecvf.com
Abstract From CNN, RNN, to ViT, we have witnessed remarkable advancements in video prediction, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated …
Conventionally, Earth system (eg, weather and climate) forecasting relies on numerical simulation with complex physical models and hence is both expensive in computation and …
Spatiotemporal predictive learning aims to generate future frames by learning from historical frames. In this paper, we investigate existing methods and present a general framework of …
C Tan, S Li, Z Gao, W Guan, Z Wang… - Advances in …, 2023 - proceedings.neurips.cc
Spatio-temporal predictive learning is a learning paradigm that enables models to learn spatial and temporal patterns by predicting future frames from given past frames in an …
Video prediction is a challenging task due to its nature of uncertainty especially for forecasting a long period. To model the temporal dynamics advanced methods benefit from …
C Tan, Z Gao, S Li, SZ Li - arXiv preprint arXiv:2211.12509, 2022 - arxiv.org
Recent years have witnessed remarkable advances in spatiotemporal predictive learning, incorporating auxiliary inputs, elaborate neural architectures, and sophisticated training …
Y Zhong, L Liang, I Zharkov… - Proceedings of the …, 2023 - openaccess.thecvf.com
A central challenge of video prediction lies where the system has to reason the object's future motion from image frames while simultaneously maintaining the consistency of its …