Liu, Haifeng

25 publications

ICLR 2025 Depth Any Video with Scalable Synthetic Data Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He
AAAI 2024 Boosting Few-Shot Learning via Attentive Feature Regularization Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
AAAI 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
CVPR 2024 TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang
AAAI 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
CVPR 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
ECCV 2022 Convolutional Embedding Makes Hierarchical Vision Transformer Stronger Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu
ECCV 2022 DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai
ECCV 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
CVPR 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
ICML 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
ICML 2021 Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu
AAAI 2021 RESA: Recurrent Feature-Shift Aggregator for Lane Detection Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai
AAAI 2020 Adversarial-Learned Loss for Domain Adaptation Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
NeurIPS 2020 Part-Dependent Label Noise: Towards Instance-Dependent Label Noise Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama
AAAI 2020 Training-Time-Friendly Network for Real-Time Object Detection Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai
AAAI 2018 PixelLink: Detecting Scene Text via Instance Segmentation Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai
AAAI 2017 TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang
IJCAI 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
CVPR 2014 Separable Kernel for Image Deblurring Lu Fang, Haifeng Liu, Feng Wu, Xiaoyan Sun, Houqiang Li
CVPR 2012 A-Optimal Non-Negative Projection for Image Representation Haifeng Liu, Zheng Yang, Zhaohui Wu, Xuelong Li
CVPR 2012 Metric Learning with Two-Dimensional Smoothness for Visual Analysis Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai
IJCAI 2011 Locality-Constrained Concept Factorization Haifeng Liu, Zheng Yang, Zhaohui Wu
AAAI 2010 Non-Negative Matrix Factorization with Constraints Haifeng Liu, Zhaohui Wu
ICML 2002 Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection Loo-Nin Teow, Haifeng Liu, Hwee Tou Ng, Eric Yap