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- Yongdong ZhangSuggested from co-authorship
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Works79 from public data
- MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model426
This work introduces Magic/snimate, a diffusion-based framework that aims at enhancing temporal consistency, preserving reference image faithfully, and improving animation fidelity, and outperforms the strongest baseline on the challenging TikTok dancing dataset.
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- Residual Denoising Diffusion Models155
RDDM enables a generic UNet, trained with only an L1 loss and a batch size of 1, to compete with state-of-the-art image restoration methods and demonstrates that the sampling process is consistent with that of DDPM and DDIM through coefficient transformation.
- PD-Quant: Post-Training Quantization Based on Prediction Difference Metric124
PD-Quant is proposed, a method that determines the quantization parameters by using the information of differences between network prediction before and after quantization, and improves the prediction accuracy of quantized models, especially in low-bit settings.
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- Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos80
A novel Spatial-Temporal Correlation and Topology Learning framework is proposed to pursue discriminative and robust representation by modeling cross-scale spatial-temporal correlation by utilizing a CNN backbone and a key-points estimator to extract semantic local features from human body at multiple granularities as graph nodes.
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- Multi-Channel Attentive Feature Fusion for Radio Frequency Fingerprinting64
Experimental results show that the proposed McAFF method significantly outperforms the single-channel-based as well as the existing DL-based RF fingerprinting methods in terms of identification accuracy and robustness.
- STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition53
A novel framework STPrivacy is proposed to perform video-level PPAR and introduces vision Transformers into PPAR by treating a video as a tubelet sequence, and accordingly design two complementary mechanisms, i.e., sparsification and anonymization, to remove privacy from a spatio-temporal perspective.
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- A Structured Graph Attention Network for Vehicle Re-Identification44
A Structured Graph ATtention network (SGAT) is proposed to fully exploit these relationships and allow the message propagation to update the features of graph nodes and achieve significant improvements over the state-of-the-art methods.
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- ShowRoom3D: Text to High-Quality 3D Room Generation Using 3D Priors8
ShowRoom3D enables the generation of rooms with improved structural integrity, enhanced clarity from any view, reduced content repetition, and higher consistency across different perspectives, and significantly outperforms state-of-the-art approaches by a large margin in terms of user study.
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Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-13. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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