Personal information

No personal information available

Activities

Works (7)

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 | Conference paper
Contributors: Wang, Yaoming; Shi, Bowen; Zhang, Xiaopeng; Li, Jin; Liu, Yuchen; Dai, Wenrui; Li, Chenglin; Xiong, Hongkai; Tian, Qi
Source: Self-asserted source
Yaoming Wang

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

arXiv preprint arXiv:2306.15876
2023 | Journal article
Contributors: Shi, Bowen; Zhang, Xiaopeng; Wang, Yaoming; Li, Jin; Dai, Wenrui; Zou, Junni; Xiong, Hongkai; Tian, Qi
Source: Self-asserted source
Yaoming Wang

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 | Conference paper
Contributors: Liu, Yuchen; Wang, Yaoming; Chen, Yabo; Dai, Wenrui; Li, Chenglin; Zou, Junni; Xiong, Hongkai
Source: Self-asserted source
Yaoming Wang

Contrastive regression for domain adaptation on gaze estimation

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
Contributors: Wang, Yaoming; Jiang, Yangzhou; Li, Jin; Ni, Bingbing; Dai, Wenrui; Li, Chenglin; Xiong, Hongkai; Li, Teng
Source: Self-asserted source
Yaoming Wang

Progressively Compressed Auto-Encoder for Self-supervised Representation Learning

The Eleventh International Conference on Learning Representations
2022 | Conference paper
Contributors: Li, Jin; Wang, Yaoming; Zhang, Xiaopeng; Chen, Yabo; Jiang, Dongsheng; Dai, Wenrui; Li, Chenglin; Xiong, Hongkai; Tian, Qi
Source: Self-asserted source
Yaoming Wang

Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)
2021 | Conference paper
Contributors: Wang, Yaoming; Liu, Yuchen; Dai, Wenrui; Li, Chenglin; Zou, Junni; Xiong, Hongkai
Source: Self-asserted source
Yaoming Wang

SI-VDNAS: Semi-implicit variational dropout for hierarchical one-shot neural architecture search

Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence
2021 | Conference paper
Contributors: Wang, Yaoming; Dai, Wenrui; Li, Chenglin; Zou, Junni; Xiong, Hongkai
Source: Self-asserted source
Yaoming Wang