Haohang Xu

According to our database, Haohang Xu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation.

Shuangrui Ding, Rui Qian, Haohang Xu, Dahua Lin, Hongkai Xiong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning.

Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Wenrui Dai, Hongkai Xiong, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Semi-Supervised Contrastive Learning With Similarity Co-Calibration.

Yuhang Zhang, Xiaopeng Zhang, Jie Li, Robert C. Qiu, Haohang Xu, Qi Tian

IEEE Trans. Multim., 2023

2022

$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations.

Haohang Xu, Hongkai Xiong, Guo-Jun Qi

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Masked Autoencoders are Robust Data Augmentors.

Haohang Xu, Shuangrui Ding, Xiaopeng Zhang, Hongkai Xiong, Qi Tian

CoRR, 2022

Bag of Instances Aggregation Boosts Self-supervised Distillation.

Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian

Proceedings of the Tenth International Conference on Learning Representations, 2022

Motion-aware Contrastive Video Representation Learning via Foreground-background Merging.

Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang, Hongkai Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Semantic-Aware Generation for Self-Supervised Visual Representation Learning.

Yunjie Tian, Lingxi Xie, Xiaopeng Zhang, Jiemin Fang, Haohang Xu, Wei Huang, Jianbin Jiao, Qi Tian, Qixiang Ye

CoRR, 2021

Motion-aware Self-supervised Video Representation Learning via Foreground-background Merging.

Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang

CoRR, 2021

Bag of Instances Aggregation Boosts Self-supervised Learning.

Haohang Xu, Jiemin Fang, Xiaopeng Zhang, Lingxi Xie, Xinggang Wang, Wenrui Dai, Hongkai Xiong, Qi Tian

CoRR, 2021

Multi-dataset Pretraining: A Unified Model for Semantic Segmentation.

Bowen Shi, Xiaopeng Zhang, Haohang Xu, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

CoRR, 2021

Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning.

Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Hierarchical Semantic Aggregation for Contrastive Representation Learning.

Haohang Xu, Xiaopeng Zhang, Hao Li, Lingxi Xie, Hongkai Xiong, Qi Tian

CoRR, 2020

K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations.

Haohang Xu, Hongkai Xiong, Guo-Jun Qi

CoRR, 2020

FedMax: Enabling a Highly-Efficient Federated Learning Framework.

Haohang Xu, Jin Li, Hongkai Xiong, Hui Lu

Proceedings of the 13th IEEE International Conference on Cloud Computing, 2020

2019

FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers.

Haohang Xu, Hongkai Xiong, Guojun Qi

CoRR, 2019

AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups.

Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi

CoRR, 2019