Liang Liu

According to our database, Liang Liu authored at least 42 papers between 2018 and 2024.

Collaborative distances:

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

2024

DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries.

Yu Yang, Jianbiao Mei, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu

CoRR, 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.

Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang

CoRR, 2024

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.

Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Xuhai Chen, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

CoRR, 2024

Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer.

Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.

Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.

Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking.

Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.

Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao

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

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model.

Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang

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

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection.

Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma

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

2023

Dual Path Transformer with Partition Attention.

Zhengkai Jiang, Liang Liu, Jiangning Zhang, Yabiao Wang, Mingang Chen, Chengjie Wang

CoRR, 2023

Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.

Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

CoRR, 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

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.

Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma

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

Learning with Noisy labels via Self-supervised Adversarial Noisy Masking.

Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao

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

Learning from Noisy Labels with Decoupled Meta Label Purifier.

Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao

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

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.

Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang

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

Calibrated Teacher for Sparsely Annotated Object Detection.

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation.

Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu

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