Yaoming Wang

Orcid: 0000-0002-0026-4247

According to our database1, Yaoming Wang authored at least 14 papers between 2020 and 2023.

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

Timeline

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Bibliography

2023
AiluRus: A Scalable ViT Framework for Dense Prediction.
CoRR, 2023

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners.
CoRR, 2023

AiluRus: A Scalable ViT Framework for Dense Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VioLET: Vision-Language Efficient Tuning with Collaborative Multi-modal Gradients.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Domain Generalization for Face Anti-Spoofing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Integrating Appearance and Spatial-Temporal Information for Multi-Camera People Tracking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Efficient Search for Efficient Architecture.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Contrastive Regression for Domain Adaptation on Gaze Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020


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