462 citations · 778 across the 26 of their papers we have counts for
6 papers · 1 filter
Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling
Qi Zhang, Shanshe Wang, Xinfeng Zhang +4
Video Coding for Machines (VCM) aims to compress visual signals for machine analysis. However, existing methods only consider a few machines, neglecting the majority. Moreover, the…
Cross Modal Compression: Towards Human-comprehensible Semantic Compression
Jiguo Li, Chuanmin Jia, Xinfeng Zhang +2
Traditional image/video compression aims to reduce the transmission/storage cost with signal fidelity as high as possible. However, with the increasing demand for machine analysis…
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…
P-STMO: Pre-Trained Spatial Temporal Many-to-One Model for 3D Human Pose Estimation
Wenkang Shan, Zhenhua Liu, Xinfeng Zhang +3
This paper introduces a novel Pre-trained Spatial Temporal Many-to-One (P-STMO) model for 2D-to-3D human pose estimation task. To reduce the difficulty of capturing spatial and tem…