Xiaopeng Yan (严肖朋)

Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria.

Keze Wang, Liang Lin, Xiaopeng Yan, ZiLiang Chen, Dongyu Zhang, and Lei Zhang.

IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018.

Semantically Coherent Out-of-Distribution Detection.

Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu.

IEEE International Conference on Computer Vision (ICCV), 2021.

Learning Image Classifier from Only Web Labels and Metadata: Automatic Label Correction through Graph.

Jingkang Yang, Weirong Chen, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang.

ACM International Conference on Multimedia (ACM-MM Oral Presentation), 2020.

Webly Supervised Image Classification with Self-Contained Confidence.

Jingkang Yang, Litong Feng, Weirong Chen, Xiaopeng Yan, Huabin Zheng, Luo Ping, Wayne Zhang.

IEEE European Conference on Computer Vision (ECCV), 2020.

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning.

Xiaopeng Yan^*, Ziliang Chen^*, Anni Xu, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Xiaodan Liang, and Liang Lin.

IEEE International Conference on Computer Vision (ICCV), 2019.

Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching.

Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, and Liang Lin.

IEEE International Conference on Machine Learning (ICML Oral Presentation), 2019.

Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection.

Keze Wang, Xiaopeng Yan, Donyu Zhang, Lei Zhang, and Liang Lin.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

Progressive Representative Labeling for Deep Semi-Supervised Learning

Xiaopeng Yan, Riquan Chen, Litong Feng, Jingkang Yang, Huabin Zheng, Wayne Zhang.