Haifeng Liu

According to our database, Haifeng Liu authored at least 38 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix.

Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training.

Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation.

Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

PointCSE: Context-sensitive encoders for efficient 3D object detection from point cloud.

Kuoliang Wu, Guodong Xu, Zili Liu, Haifeng Liu, Deng Cai, Xiaofei He

Int. J. Mach. Learn. Cybern., 2022

Boosting Semi-Supervised 3D Object Detection with Semi-Sampling.

Xiaopei Wu, Yang Zhao, Liang Peng, Hua Chen, Xiaoshui Huang, Binbin Lin, Haifeng Liu, Deng Cai, Wanli Ouyang

CoRR, 2022

Domain Reconstruction and Resampling for Robust Salient Object Detection.

Senbo Yan, Liang Peng, Chuer Yu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection.

Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Lidar Point Cloud Guided Monocular 3D Object Detection.

Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Computer Vision - ECCV 2022, 2022

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion.

Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai

IEEE Trans. Image Process., 2021

TTFNeXt for real-time object detection.

Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

Neurocomputing, 2021

SparsePoint: Fully End-to-End Sparse 3D Object Detector.

Zili Liu, Guodong Xu, Honghui Yang, Haifeng Liu, Deng Cai

CoRR, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

RESA: Recurrent Feature-Shift Aggregator for Lane Detection.

Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning.

Yu Zhu, Jinghao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

IEEE Trans. Knowl. Data Eng., 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Boundary-Aware Dense Feature Indicator for Single-Stage 3D Object Detection from Point Clouds.

Guodong Xu, Wenxiao Wang, Zili Liu, Liang Xie, Zheng Yang, Haifeng Liu, Deng Cai

CoRR, 2020

Training-Time-Friendly Network for Real-Time Object Detection.

Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Adversarial-Learned Loss for Domain Adaptation.

Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

On the Diversity of Conditional Image Synthesis With Semantic Layouts.

Zichen Yang, Haifeng Liu, Deng Cai

IEEE Trans. Image Process., 2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

CoRR, 2019

2018

Deep Rotation Equivariant Network.

Junying Li, Zichen Yang, Haifeng Liu, Deng Cai

Neurocomputing, 2018

Addressing the Item Cold-start Problem by Attribute-driven Active Learning.

Yu Zhu, Jinhao Lin, Shibi He, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

CoRR, 2018

PixelLink: Detecting Scene Text via Instance Segmentation.

Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

On the Diversity of Realistic Image Synthesis.

Zichen Yang, Haifeng Liu, Deng Cai

CoRR, 2017

User Personalized Satisfaction Prediction via Multiple Instance Deep Learning.

Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai

Proceedings of the 26th International Conference on World Wide Web, 2017

What to Do Next: Modeling User Behaviors by Time-LSTM.

Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Heterogeneous hypergraph embedding for document recommendation.

Yu Zhu, Ziyu Guan, Shulong Tan, Haifeng Liu, Deng Cai, Xiaofei He

Neurocomputing, 2016

A-Optimal Non-negative Projection with Hessian regularization.

Zheng Yang, Haifeng Liu, Deng Cai, Zhaohui Wu

Neurocomputing, 2016

Atom Decomposition Based Subgradient Descent for matrix classification.

Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai

Neurocomputing, 2016

2014

Constrained Concept Factorization for Image Representation.

Haifeng Liu, Genmao Yang, Zhaohui Wu, Deng Cai

IEEE Trans. Cybern., 2014

Active learning on manifolds.

Cheng Li, Haifeng Liu, Deng Cai

Neurocomputing, 2014

Spatially correlated nonnegative matrix factorization.

Xinlei Chen, Cheng Li, Haifeng Liu, Deng Cai

Neurocomputing, 2014

2012

Locally discriminative topic modeling.

Hao Wu, Jiajun Bu, Chun Chen, Jianke Zhu, Lijun Zhang, Haifeng Liu, Can Wang, Deng Cai

Pattern Recognit., 2012

Constrained Nonnegative Matrix Factorization for Image Representation.

Haifeng Liu, Zhaohui Wu, Xuelong Li, Deng Cai, Thomas S. Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Metric learning with two-dimensional smoothness for visual analysis.

Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2005

Image clustering with tensor representation.

Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han

Proceedings of the 13th ACM International Conference on Multimedia, 2005

2004

Locality preserving indexing for document representation.

Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma

Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004