9 citations · 18 across the 6 of their papers we have counts for
6 papers
L-CAD: Language-based Colorization with Any-level Descriptions using Diffusion Priors
Zheng Chang, Shuchen Weng, Peixuan Zhang +3
Language-based colorization produces plausible and visually pleasing colors under the guidance of user-friendly natural language descriptions. Previous methods implicitly assume th…
STIP: A SpatioTemporal Information-Preserving and Perception-Augmented Model for High-Resolution Video Prediction
Zheng Chang, Xinfeng Zhang, Shanshe Wang +2
Although significant achievements have been achieved by recurrent neural network (RNN) based video prediction methods, their performance in datasets with high resolutions is still…
STAU: A SpatioTemporal-Aware Unit for Video Prediction and Beyond
Zheng Chang, Xinfeng Zhang, Shanshe Wang +2
Video prediction aims to predict future frames by modeling the complex spatiotemporal dynamics in videos. However, most of the existing methods only model the temporal information…
STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction
Zheng Chang, Xinfeng Zhang, Shanshe Wang +2
Although many video prediction methods have obtained good performance in low-resolution (64128) videos, predictive models for high-resolution (5124K) videos have not be…
Deep Reinforcement Learning based Joint Active and Passive Beamforming Design for RIS-Assisted MISO Systems
Yuqian Zhu, Zhu Bo, Ming Li +4
Owing to the unique advantages of low cost and controllability, reconfigurable intelligent surface (RIS) is a promising candidate to address the blockage issue in millimeter wave (…
DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks
Yuqian Zhu, Ming Li, Yang Liu +3
Reconfigurable intelligent surface (RIS) is considered as an extraordinarily promising technology to solve the blockage problem of millimeter wave (mmWave) communications owing to…