Liang Liu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 37

Top Topics

Unsupervised Learning

Single Still Image

Scene Flow Estimation

Top Venues

Publications

Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. CoRR (2024)
Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu
Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer. ICRA (2024)
Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection. AAAI (2024)
Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. AAAI (2024)
Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang
Dual-path Frequency Discriminators for Few-shot Anomaly Detection. CoRR (2024)
Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model. AAAI (2024)
Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma
Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection. ICCV (2023)
Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Liang Liu, Yabiao Wang, Chengjie Wang
Toward High Quality Facial Representation Learning. ACM Multimedia (2023)
Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang
Rethinking Mobile Block for Efficient Attention-based Models. ICCV (2023)
Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang
Rethinking Mobile Block for Efficient Neural Models. CoRR (2023)
Teng Hu, Ran Yi, Haokun Zhu, Liang Liu, Jinlong Peng, Yabiao Wang, Chengjie Wang, Lizhuang Ma
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region. ACM Multimedia (2023)
Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang, Tao Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
FRIH: Fine-grained Region-aware Image Harmonization. CoRR (2022)
Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, Yunliang Jiang
Extended Feature Pyramid Network for Small Object Detection. IEEE Trans. Multim. 24 (2022)
Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. ECCV Workshops (4) (2022)
Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation. CoRR (2022)
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Trans. Neural Networks Learn. Syst. 32 (3) (2021)
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. AAAI (2021)
Jiangning Zhang, Chao Xu, Xiangrui Zhao, Liang Liu, Yong Liu, Jinqiang Yao, Zaisheng Pan
Learning hierarchical and efficient Person re-identification for robotic navigation. Int. J. Intell. Robotics Appl. 5 (2) (2021)
Xianfang Zeng, Jiangning Zhang, Liang Liu, Guangzhong Tian, Yong Liu
SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network. CoRR (2021)
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR (2020)
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. CoRR (2020)
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image. CoRR (2020)
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. CoRR (2020)
Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan
FReeNet: Multi-Identity Face Reenactment. CVPR (2020)
Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu, Yunliang Jiang
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Pattern Recognit. 102 (2020)
Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu
Hierarchical and Efficient Learning for Person Re-Identification. CoRR (2020)
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. CoRR (2020)
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. ICASSP (2020)
Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu
Extended Feature Pyramid Network for Small Object Detection. CoRR (2020)
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals. CoRR (2020)
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image. ECCV (5) (2020)
Liang Liu, Yong Liu, Jiangning Zhang
Learning-Based Hand Motion Capture and Understanding in Assembly Process. IEEE Trans. Ind. Electron. 66 (12) (2019)
Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks. Neurocomputing 345 (2019)
Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. CoRR (2019)
Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. IJCAI (2019)
JongHyok Ri, Liang Liu, Yong Liu, Huifeng Wu, Wenliang Huang, Hun Kim
Optimal Weighted Extreme Learning Machine for Imbalanced Learning with Differential Evolution [Research Frontier]. IEEE Comput. Intell. Mag. 13 (3) (2018)
Yong Liu, Liang Liu
Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot. Robotics Auton. Syst. 101 (2018)