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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