Junjie Liu

Orcid: 0000-0001-7373-9074

Affiliations:
  • Meituan, Beijing, China
  • City University of Hong Kong (CUHK), Department of Computer Science, Hong Kong


According to our database1, Junjie Liu authored at least 13 papers between 2018 and 2025.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation.
CoRR, June, 2025

Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning.
IEEE Trans. Image Process., 2024

2023
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge.
Computer, August, 2023

2022
Towards Accurate Post-Training Quantization for Vision Transformer.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Compressing Models with Few Samples: Mimicking then Replacing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fully Supervised and Guided Distillation for One-Stage Detectors.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
L<sub>0</sub>-Regularized Image Downscaling.
IEEE Trans. Image Process., 2018


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