Pengkai Zhu

Orcid: 0000-0002-7811-8856

According to our database1, Pengkai Zhu authored at least 17 papers between 2017 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Interpretable Compositional Representations for Robust Few-Shot Generalization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Enhancing Vision-Language Pre-training with Rich Supervisions.
CoRR, 2024

2023
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models.
CoRR, 2023

Fine-grained Few-shot Recognition by Deep Object Parsing.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Learning Compositional Representations for Effective Low-Shot Generalization.
CoRR, 2022

Contrastive Neighborhood Alignment.
CoRR, 2022

2021
Machine learning under limited resources
PhD thesis, 2021

2020
Zero Shot Detection.
IEEE Trans. Circuits Syst. Video Technol., 2020

Low Dimensional Visual Attributes: An Interpretable Image Encoding.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Don't Even Look Once: Synthesizing Features for Zero-Shot Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Dont Even Look Once: Synthesizing Features for Zero-Shot Detection.
CoRR, 2019

Learning for New Visual Environments with Limited Labels.
CoRR, 2019

Learning Classifiers for Target Domain with Limited or No Labels.
Proceedings of the 36th International Conference on Machine Learning, 2019

Generalized Zero-Shot Recognition Based on Visually Semantic Embedding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cost aware Inference for IoT Devices.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Zero-Shot Detection.
CoRR, 2018

2017
Ship Fuzzy Recognition Based on Superstructure with Maximum Membership Rule.
Proceedings of the Communications, Signal Processing, and Systems, 2017


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