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ORCIDHaifeng Liu 0001
Person information
- affiliation: Zhejiang University, State Key Lab of CAD&CG, College of Computer Science, China
- affiliation (Phd 2009): University of Toronto, Department of Computer Science, Canada
Other persons with the same name
- Haifeng Liu (aka: Hai-Feng Liu) — disambiguation page
- Haifeng Liu 0002
![[0000-0002-3619-1211]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3619-1211")
— Dalian University of Technology, Department of Computer Science, Liaoning, China - Haifeng Liu 0003 — Huazhong University of Science and Technology, Clusters and Grid Computing Lab, National Engineering Research Center for Big Data Technology, Wuhan, China
- Haifeng Liu 0004 — Guangdong OPPO Mobile Telecommunications Corp., Ltd, Guangdong, China (and 1 more)
- Haifeng Liu 0005 — IBM Research, Information and Knowledge Department, ZGC Software Park, Beijing, China
- Haifeng Liu 0006 — Zhejiang University, College of Computer Science, China (and 1 more)
- Haifeng Liu 0007 — Nanyang Technological University, Centre for Advanced Information Systems, School of Computer Engineering, Singapore
- Haifeng Liu 0008 (aka: Hai-Feng Liu 0008) — Guilin University of Technology, College of Geomatics and Geoinformation, China
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2020 – today
- 2024
[c17]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI 2024: 3513-3521- [c16]Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang:
Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. AAAI 2024: 6153-6161 - 2023
- [c15]Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He:
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR 2023: 15305-15314 - [i17]Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai:
TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR abs/2312.12828 (2023) - 2022
- [j14]Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He:
PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud. Int. J. Mach. Learn. Cybern. 13(1): 39-47 (2022) - [c14]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CVPR 2022: 5408-5417 - [c13]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. ECCV (1) 2022: 71-88 - [c12]Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai:
Lidar Point Cloud Guided Monocular 3D Object Detection. ECCV (1) 2022: 123-139 - [c11]Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai:
Domain Reconstruction and Resampling for Robust Salient Object Detection. ACM Multimedia 2022: 5417-5426 - [i16]Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai:
Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. CoRR abs/2203.09780 (2022) - [i15]Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai:
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. CoRR abs/2207.08531 (2022) - [i14]Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang:
Boosting Semi-Supervised 3D Object Detection with Semi-Sampling. CoRR abs/2211.07084 (2022) - [i13]Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He:
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR abs/2212.09506 (2022) - 2021
- [j13]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
TTFNeXt for real-time object detection. Neurocomputing 433: 59-70 (2021) - [j12]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. 30: 2898-2907 (2021) - [c10]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. AAAI 2021: 3547-3554 - [c9]Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu:
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML 2021: 10717-10726 - [i12]Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai:
Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR abs/2101.12521 (2021) - [i11]Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai:
SparsePoint: Fully End-to-End Sparse 3D Object Detector. CoRR abs/2103.10042 (2021) - 2020
- [j11]Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. IEEE Trans. Knowl. Data Eng. 32(4): 631-644 (2020) - [c8]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. AAAI 2020: 3521-3528 - [c7]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. AAAI 2020: 11685-11692 - [i10]Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai:
Adversarial-Learned Loss for Domain Adaptation. CoRR abs/2001.01046 (2020) - [i9]Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai:
Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds. CoRR abs/2004.00186 (2020) - [i8]Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. CoRR abs/2008.13719 (2020) - [i7]Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu:
Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR abs/2010.04879 (2020)
2010 – 2019
- 2019
- [j10]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Conditional Image Synthesis With Semantic Layouts. IEEE Trans. Image Process. 28(6): 2898-2907 (2019) - [i6]Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai:
Training-Time-Friendly Network for Real-Time Object Detection. CoRR abs/1909.00700 (2019) - [i5]Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu:
DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR abs/1912.10178 (2019) - 2018
- [j9]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. Neurocomputing 290: 26-33 (2018) - [c6]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. AAAI 2018: 6773-6780 - [i4]Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai:
PixelLink: Detecting Scene Text via Instance Segmentation. CoRR abs/1801.01315 (2018) - [i3]Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
Addressing the Item Cold-start Problem by Attribute-driven Active Learning. CoRR abs/1805.09023 (2018) - 2017
- [c5]Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai:
What to Do Next: Modeling User Behaviors by Time-LSTM. IJCAI 2017: 3602-3608 - [c4]Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai:
User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. WWW 2017: 907-915 - [i2]Junying Li, Zichen Yang, Haifeng Liu, Deng Cai:
Deep Rotation Equivariant Network. CoRR abs/1705.08623 (2017) - [i1]Zichen Yang, Haifeng Liu, Deng Cai:
On the Diversity of Realistic Image Synthesis. CoRR abs/1712.07329 (2017) - 2016
- [j8]Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu:
A-Optimal Non-negative Projection with Hessian regularization. Neurocomputing 174: 838-849 (2016) - [j7]Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai:
Atom Decomposition Based Subgradient Descent for matrix classification. Neurocomputing 205: 222-228 (2016) - [j6]Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He:
Heterogeneous hypergraph embedding for document recommendation. Neurocomputing 216: 150-162 (2016) - 2014
- [j5]Cheng Li, Haifeng Liu, Deng Cai:
Active learning on manifolds. Neurocomputing 123: 398-405 (2014) - [j4]Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai:
Spatially correlated nonnegative matrix factorization. Neurocomputing 139: 15-21 (2014) - [j3]Haifeng Liu, Genmao Yang, Zhaohui Wu, Deng Cai:
Constrained Concept Factorization for Image Representation. IEEE Trans. Cybern. 44(7): 1214-1224 (2014) - 2012
- [j2]Haifeng Liu, Zhaohui Wu, Xuelong Li, Deng Cai, Thomas S. Huang:
Constrained Nonnegative Matrix Factorization for Image Representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(7): 1299-1311 (2012) - [j1]Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai:
Locally discriminative topic modeling. Pattern Recognit. 45(1): 617-625 (2012) - [c3]Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai:
Metric learning with two-dimensional smoothness for visual analysis. CVPR 2012: 2533-2538
2000 – 2009
- 2005
- [c2]Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han:
Image clustering with tensor representation. ACM Multimedia 2005: 132-140 - 2004
- [c1]Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma:
Locality preserving indexing for document representation. SIGIR 2004: 96-103
Coauthor Index
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last updated on 2024-05-14 22:50 CEST by the dblp team
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