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ORCIDJunjie Liu 0003
Person information
- affiliation: Meituan, Beijing, China
- affiliation: City University of Hong Kong (CUHK), Department of Computer Science, Hong Kong
Other persons with the same name
- Junjie Liu (aka: JunJie Liu, Jun-Jie Liu) — disambiguation page
- Junjie Liu 0001
![[0000-0001-9202-9625]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9202-9625")
(aka: JunJie Liu 0001) — Zhaoqing University, School of Computer Science and Software, Guangdong, China (and 1 more) - Junjie Liu 0002 — Alibaba Cloud, Hangzhou, China (and 1 more)
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2020 – today
- 2025
[c9]Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang:
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models. CVPR 2025: 23464-23473- [i9]Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang:
Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models. CoRR abs/2503.18352 (2025) - [i8]Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang:
Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation. CoRR abs/2506.01331 (2025) - 2024
- [j3]Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, Di Huang:
OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning. IEEE Trans. Image Process. 33: 4231-4244 (2024) - 2023
- [j2]Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer 56(8): 28-37 (2023) - [i7]Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu:
Towards Accurate Post-Training Quantization for Vision Transformer. CoRR abs/2303.14341 (2023) - 2022
- [c8]Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu:
Compressing Models with Few Samples: Mimicking then Replacing. CVPR 2022: 691-700 - [c7]Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu:
Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia 2022: 5380-5388 - [i6]Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu:
Compressing Models with Few Samples: Mimicking then Replacing. CoRR abs/2201.02620 (2022) - 2021
- [i5]Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato:
Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps. CoRR abs/2104.14124 (2021) - 2020
- [c6]Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Fully Supervised and Guided Distillation for One-Stage Detectors. ACCV (3) 2020: 171-188 - [c5]Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CVPR Workshops 2020: 2880-2889 - [c4]Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework. ECCV Workshops (5) 2020: 38-53 - [i4]Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework. CoRR abs/2009.04626 (2020) - [i3]Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CoRR abs/2009.13799 (2020)
2010 – 2019
- 2019
- [c3]Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato:
Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. CVPR Workshops 2019: 149-157 - [c2]Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato:
DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. CVPR Workshops 2019: 168-177 - [c1]Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CVPR Workshops 2019: 638-646 - [i2]Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato:
Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CoRR abs/1911.05329 (2019) - [i1]Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato:
DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection. CoRR abs/1911.05341 (2019) - 2018
- [j1]Junjie Liu, Shengfeng He, Rynson W. H. Lau:
L0-Regularized Image Downscaling. IEEE Trans. Image Process. 27(3): 1076-1085 (2018)
Coauthor Index
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