Junjie Liu - RankMe

21 papers A* 3Journal 12Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models. CVPR Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang
2025	J	`jnl`	Diffusion-4K: Ultra-High-Resolution Image Synthesis with Latent Diffusion Models. CoRR Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang
2025	J	`jnl`	Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation. CoRR Jinjin Zhang, Qiuyu Huang, Junjie Liu, Xiefan Guo, Di Huang
2024	J	`jnl`	OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning. IEEE Trans. Image Process. Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, Di Huang
2023	J	`jnl`	Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2023	J	`jnl`	Towards Accurate Post-Training Quantization for Vision Transformer. CoRR Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2022	A*	`conf`	Compressing Models with Few Samples: Mimicking then Replacing. CVPR Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
2022	J	`jnl`	Compressing Models with Few Samples: Mimicking then Replacing. CoRR Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu
2022	A*	`conf`	Towards Accurate Post-Training Quantization for Vision Transformer. ACM Multimedia Yifu Ding, Haotong Qin, Qinghua Yan, Zhenhua Chai, Junjie Liu, Xiaolin Wei, Xianglong Liu
2021	J	`jnl`	Condensation-Net: Memory-Efficient Network Architecture with Cross-Channel Pooling Layers and Virtual Feature Maps. CoRR Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato
2020	—	`conf`	BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CVPR Workshops Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2020	J	`jnl`	BAMSProd: A Step towards Generalizing the Adaptive Optimization Methods to Deep Binary Model. CoRR Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2020	—	`conf`	Fully Supervised and Guided Distillation for One-Stage Detectors. ACCV (3) Deyu Wang, Dongchao Wen, Junjie Liu, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2020	—	`conf`	QuantNet: Learning to Quantize by Learning Within Fully Differentiable Framework. ECCV Workshops (5) Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2020	J	`jnl`	QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework. CoRR Junjie Liu, Dongchao Wen, Deyu Wang, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2019	—	`conf`	Condensation-Net: Memory-Efficient Network Architecture With Cross-Channel Pooling Layers and Virtual Feature Maps. CVPR Workshops Tse-Wei Chen, Motoki Yoshinaga, Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Kinya Osa, Masami Kato
2019	—	`conf`	DupNet: Towards Very Tiny Quantized CNN With Improved Accuracy for Face Detection. CVPR Workshops Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato
2019	J	`jnl`	DupNet: Towards Very Tiny Quantized CNN with Improved Accuracy for Face Detection. CoRR Hongxing Gao, Wei Tao, Dongchao Wen, Junjie Liu, Tse-Wei Chen, Kinya Osa, Masami Kato
2019	—	`conf`	Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CVPR Workshops Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2019	J	`jnl`	Knowledge Representing: Efficient, Sparse Representation of Prior Knowledge for Knowledge Distillation. CoRR Junjie Liu, Dongchao Wen, Hongxing Gao, Wei Tao, Tse-Wei Chen, Kinya Osa, Masami Kato
2018	J	`jnl`	L IEEE Trans. Image Process. Junjie Liu, Shengfeng He, Rynson W. H. Lau