Chuanjian Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Semantic Segmentation

Top Venues

Publications

Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
Large OCR Model: An Empirical Study of Scaling Law for OCR. CoRR (2024)
Runqi Wang, Huixin Sun, Linlin Yang, Shaohui Lin, Chuanjian Liu, Yan Gao, Yao Hu, Baochang Zhang
AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries. AAAI (2024)
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. AAAI (2024)
Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR (2024)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR (2023)
Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. ICCV (2023)
Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin
Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. CoRR (2023)
Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
Category Feature Transformer for Semantic Segmentation. CoRR (2023)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS (2023)
Yanjing Li, Sheng Xu, Mingbao Lin, Xianbin Cao, Chuanjian Liu, Xiao Sun, Baochang Zhang
Bi-ViT: Pushing the Limit of Vision Transformer Quantization. CoRR (2023)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. CoRR (2022)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS (2022)
Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022)
Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang
Network Amplification with Efficient MACs Allocation. CVPR Workshops (2022)
Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang
Greedy Network Enlarging. CoRR (2021)
Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR (2020)
Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS (2020)
Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR (2019)
Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR (2019)
Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML (2019)
Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI (2019)
Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
Data-Free Learning of Student Networks. CoRR (2019)
Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI (2019)
Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
Data-Free Learning of Student Networks. ICCV (2019)