Kekai Sheng

According to our database, Kekai Sheng authored at least 22 papers between 2015 and 2024.

Collaborative distances:

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

2024

Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution.

Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji

IEEE Trans. Pattern Anal. Mach. Intell., October, 2024

2023

Reciprocal normalization for domain adaptation.

Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, Xing Sun

Pattern Recognit., August, 2023

2022

Towards Corruption-Agnostic Robust Domain Adaptation.

Yifan Xu, Kekai Sheng, Weiming Dong, Baoyuan Wu, Changsheng Xu, Bao-Gang Hu

ACM Trans. Multim. Comput. Commun. Appl., 2022

Transformers in computational visual media: A survey.

Yifan Xu, HuaPeng Wei, Minxuan Lin, Yingying Deng, Kekai Sheng, Mengdan Zhang, Fan Tang, Weiming Dong, Feiyue Huang, Changsheng Xu

Comput. Vis. Media, 2022

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization.

Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, Chunhua Shen

CoRR, 2022

Generative Domain Adaptation for Face Anti-Spoofing.

Qianyu Zhou, Ke-Yue Zhang, Taiping Yao, Ran Yi, Kekai Sheng, Shouhong Ding, Lizhuang Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

Efficient Decoder-Free Object Detection with Transformers.

Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao, Xing Sun, Ke Li, Chunhua Shen

Proceedings of the Computer Vision - ECCV 2022, 2022

ARM: Any-Time Super-Resolution Method.

Bohong Chen, Mingbao Lin, Kekai Sheng, Mengdan Zhang, Peixian Chen, Ke Li, Liujuan Cao, Rongrong Ji

Proceedings of the Computer Vision - ECCV 2022, 2022

Training-free Transformer Architecture Search.

Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

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

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer.

Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Learning to assess visual aesthetics of food images.

Kekai Sheng, Weiming Dong, Haibin Huang, Menglei Chai, Yong Zhang, Chongyang Ma, Bao-Gang Hu

Comput. Vis. Media, 2021

On Evolving Attention Towards Domain Adaptation.

Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, Weiming Dong, Feiyue Huang, Rongrong Ji, Xing Sun

CoRR, 2021

Dual Reweighting Domain Generalization for Face Presentation Attack Detection.

Shubao Liu, Ke-Yue Zhang, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Yuan Xie, Lizhuang Ma

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing.

Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, Xinyu Jin

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

2020

HAM: Hidden Anchor Mechanism for Scene Text Detection.

Jie-Bo Hou, Xiaobin Zhu, Chang Liu, Kekai Sheng, Long-Huang Wu, Hongfa Wang, Xu-Cheng Yin

IEEE Trans. Image Process., 2020

Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation.

Zhiyong Huang, Kekai Sheng, Weiming Dong, Xing Mei, Chongyang Ma, Feiyue Huang, Dengwen Zhou, Changsheng Xu

CoRR, 2020

Dynamic Refinement Network for Oriented and Densely Packed Object Detection.

Xingjia Pan, Yuqiang Ren, Kekai Sheng, Weiming Dong, Haolei Yuan, Xiaowei Guo, Chongyang Ma, Changsheng Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning.

Kekai Sheng, Weiming Dong, Menglei Chai, Guohui Wang, Peng Zhou, Feiyue Huang, Bao-Gang Hu, Rongrong Ji, Chongyang Ma

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Gourmet photography dataset for aesthetic assessment of food images.

Kekai Sheng, Weiming Dong, Haibin Huang, Chongyang Ma, Bao-Gang Hu

Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Attention-based Multi-Patch Aggregation for Image Aesthetic Assessment.

Kekai Sheng, Weiming Dong, Chongyang Ma, Xing Mei, Feiyue Huang, Bao-Gang Hu

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017

Centroid-aware local discriminative metric learning in speaker verification.

Kekai Sheng, Weiming Dong, Wei Li, Joseph Razik, Feiyue Huang, Bao-Gang Hu

Pattern Recognit., 2017

2015

Evaluating the Quality of Face Alignment without Ground Truth.

Kekai Sheng, Weiming Dong, Yan Kong, Xing Mei, Ji-Lin Li, Chengjie Wang, Feiyue Huang, Bao-Gang Hu

Comput. Graph. Forum, 2015