Liang Liu

According to our database, Liang Liu authored at least 24 papers between 2018 and 2023.

Collaborative distances:

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

2023

Rethinking Mobile Block for Efficient Neural Models.

Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang

CoRR, 2023

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.

Teng Hu, Ran Yi, Haokun Zhu, Liang Liu, Jinlong Peng, Yabiao Wang, Chengjie Wang, Lizhuang Ma

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward High Quality Facial Representation Learning.

Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Liang Liu, Yabiao Wang, Chengjie Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Rethinking Mobile Block for Efficient Attention-based Models.

Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection.

Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Extended Feature Pyramid Network for Small Object Detection.

Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, Yunliang Jiang

IEEE Trans. Multim., 2022

FRIH: Fine-grained Region-aware Image Harmonization.

Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang, Tao Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin

CoRR, 2022

Iterative Few-shot Semantic Segmentation from Image Label Text.

Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.

Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.

Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning hierarchical and efficient Person re-identification for robotic navigation.

Jiangning Zhang, Chao Xu, Xiangrui Zhao, Liang Liu, Yong Liu, Jinqiang Yao, Zaisheng Pan

Int. J. Intell. Robotics Appl., 2021

SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network.

Xianfang Zeng, Jiangning Zhang, Liang Liu, Guangzhong Tian, Yong Liu

CoRR, 2021

HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation.

Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan

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

2020

PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning.

Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu, Yunliang Jiang

Pattern Recognit., 2020

Hierarchical and Efficient Learning for Person Re-Identification.

Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu

CoRR, 2020

APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals.

Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image.

Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang

Proceedings of the Computer Vision - ECCV 2020, 2020

FReeNet: Multi-Identity Face Reenactment.

Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation.

Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning-Based Hand Motion Capture and Understanding in Assembly Process.

Liang Liu, Yong Liu, Jiangning Zhang

IEEE Trans. Ind. Electron., 2019

ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks.

Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun

Neurocomputing, 2019

PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning.

Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu

CoRR, 2019

Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity.

Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot.

Yong Liu, Liang Liu

Robotics Auton. Syst., 2018