Zhiliang Peng

Orcid: 0000-0002-6643-9329

According to our database1, Zhiliang Peng authored at least 15 papers between 2021 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Conformer: Local Features Coupling Global Representations for Recognition and Detection.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A Unified View of Masked Image Modeling.
Trans. Mach. Learn. Res., 2023

Kosmos-G: Generating Images in Context with Multimodal Large Language Models.
CoRR, 2023

Kosmos-2: Grounding Multimodal Large Language Models to the World.
CoRR, 2023

Magneto: A Foundation Transformer.
Proceedings of the International Conference on Machine Learning, 2023

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Image as a Foreign Language: BEIT Pretraining for Vision and Vision-Language Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generic-to-Specific Distillation of Masked Autoencoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Foundation Transformers.
CoRR, 2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks.
CoRR, 2022

BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers.
CoRR, 2022

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection.
CoRR, 2022

2021
Long-tailed Distribution Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Conformer: Local Features Coupling Global Representations for Visual Recognition.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021


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