Chengming Xu

Orcid: 0000-0003-3891-2227

Affiliations:
  • Tencent, Youtu Lab, Shenzhen, China
  • Fudan University, School of Data Science, Shanghai, China


According to our database1, Chengming Xu authored at least 43 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection.
CoRR, September, 2025

Visual Multi-Agent System: Mitigating Hallucination Snowballing via Visual Flow.
CoRR, September, 2025

From Large Angles to Consistent Faces: Identity-Preserving Video Generation via Mixture of Facial Experts.
CoRR, August, 2025

SwiftVideo: A Unified Framework for Few-Step Video Generation through Trajectory-Distribution Alignment.
CoRR, August, 2025

StrandDesigner: Towards Practical Strand Generation with Sketch Guidance.
CoRR, August, 2025

Disentangle Identity, Cooperate Emotion: Correlation-Aware Emotional Talking Portrait Generation.
CoRR, April, 2025

When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO.
CoRR, March, 2025

MagicFace: Slot-Driven High-Fidelity One-Shot Facial Appearance Editing.
IEEE Signal Process. Lett., 2025

CrossVTON: Mimicking the Logic Reasoning on Cross-Category Virtual Try-On Guided by Tri-Zone Priors.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

VividPose: Vividly 3D-driven Stable Pose Diffusion of High Facial Fidelity.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Unlocking Instance Semantic Awareness for Domain Adaptive Semantic Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

SVFR: A Unified Framework for Generalized Video Face Restoration.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

CustAny: Customizing Anything from A Single Example.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
FS-OreDet: Feature enhancement and relationship exploration for boosting few-shot object detector of ore images.
Eng. Appl. Artif. Intell., 2024

Exploring Real&Synthetic Dataset and Linear Attention in Image Restoration.
CoRR, 2024

FitDiT: Advancing the Authentic Garment Details for High-fidelity Virtual Try-on.
CoRR, 2024

Robust Network Learning via Inverse Scale Variational Sparsification.
CoRR, 2024

SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model.
CoRR, 2024

PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision.
CoRR, 2024

EFCNet: Every Feature Counts for Small Medical Object Segmentation.
CoRR, 2024

AnyMaker: Zero-shot General Object Customization via Decoupled Dual-Level ID Injection.
CoRR, 2024

VividPose: Advancing Stable Video Diffusion for Realistic Human Image Animation.
CoRR, 2024

StyleMaster: Towards Flexible Stylized Image Generation with Diffusion Models.
CoRR, 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.
CoRR, 2024

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning.
CoRR, 2024

DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation.
CoRR, 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Faster OreFSDet: A lightweight and effective few-shot object detector for ore images.
Pattern Recognit., September, 2023

PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Worst-case Feature Risk Minimization for Data-Efficient Learning.
Trans. Mach. Learn. Res., 2023

2022
Exploring Efficient Few-shot Adaptation for Vision Transformers.
Trans. Mach. Learn. Res., 2022

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

2021
The Image Local Autoregressive Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning a Few-shot Embedding Model with Contrastive Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Pose-Guided Person Image Synthesis in the Non-Iconic Views.
IEEE Trans. Image Process., 2020

Learning to Score Figure Skating Sport Videos.
IEEE Trans. Circuits Syst. Video Technol., 2020

Instance Credibility Inference for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Embarrassingly Simple Baseline to One-shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
Learning to score and summarize figure skating sport videos.
CoRR, 2018


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