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Liang Liu 0007
Person information
- affiliation: Zhejiang University, Department of Control Science and Engineering, Institute of Cyber-Systems and Control, Hangzhou, China
Other persons with the same name
- Liang Liu — disambiguation page
- Liang Liu 0001
— Beijing University of Posts and Telecommunications, Beijing Key Lab of Intelligent Telecommunications Software and Multimedia, China (and 2 more)
- Liang Liu 0002
- Liang Liu 0003
- Liang Liu 0004
- Liang Liu 0005
- Liang Liu 0006
- Liang Liu 0008
- Liang Liu 0009
- Liang Liu 0010 — IBM China Research Laboratory, Beijing, China
- Liang Liu 0011 — National University of Defense Technology, Changsha, China
- Liang Liu 0012
- Liang Liu 0013 — Georgia Institute of Technology, Atlanta, GA, USA
- Liang Liu 0014 — Northwestern University, Department of Industrial Engineering and Management Science, Evanston, IL, USA (and 2 more)
- Liang Liu 0015
- Liang Liu 0016
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Journal Articles
- 2022
- [j7]Chunfang Deng
Extended Feature Pyramid Network for Small Object Detection. IEEE Trans. Multim. 24: 1968-1979 (2022) - 2021
- [j6]Jiangning Zhang
Learning hierarchical and efficient Person re-identification for robotic navigation. Int. J. Intell. Robotics Appl. 5(2): 104-118 (2021) - [j5]Jun Chen
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs. IEEE Trans. Neural Networks Learn. Syst. 32(3): 1067-1081 (2021) - 2020
- [j4]Guangyao Zhai, Liang Liu
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. Pattern Recognit. 102: 107187 (2020) - 2019
- [j3]Guanzhong Tian
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks. Neurocomputing 345: 3-14 (2019) - [j2]Liang Liu
Learning-Based Hand Motion Capture and Understanding in Assembly Process. IEEE Trans. Ind. Electron. 66(12): 9703-9712 (2019) - 2018
- [j1]Yong Liu
Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot. Robotics Auton. Syst. 101: 34-44 (2018)
Conference and Workshop Papers
- 2024
- [c25]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: 8445-8453 - [c24]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: 8526-8534 - [c23]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: 21637-21645 - [c22]Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu:
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CVPR 2024: 26541-26551 - [c21]Yuanpeng Tu
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection. ECCV (2) 2024: 75-91 - [c20]Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang:
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. ECCV (67) 2024: 216-232 - [c19]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: 337-344 - 2023
- [c18]Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. AAAI 2023: 2519-2527 - [c17]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CVPR 2023: 7370-7379 - [c16]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking. CVPR 2023: 16186-16195 - [c15]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning from Noisy Labels with Decoupled Meta Label Purifier. CVPR 2023: 19934-19943 - [c14]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: 1389-1400 - [c13]Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. ICCV 2023: 2406-2415 - [c12]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: 16355-16363 - [c11]Yue Wang
Toward High Quality Facial Representation Learning. ACM Multimedia 2023: 5048-5058 - [c10]Teng Hu
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region. ACM Multimedia 2023: 7470-7480 - 2022
- [c9]Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation. CVPR 2022: 4351-4360 - [c8]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: 539-556 - [c7]Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Iterative Few-shot Semantic Segmentation from Image Label Text. IJCAI 2022: 1385-1392 - 2021
- [c6]Xiaoyang Lyu
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. AAAI 2021: 2294-2301 - 2020
- [c5]Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu
FReeNet: Multi-Identity Face Reenactment. CVPR 2020: 5325-5334 - [c4]Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR 2020: 6488-6497 - [c3]Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu
DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image. ECCV (5) 2020: 300-315 - [c2]Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. ICASSP 2020: 4402-4406 - 2019
- [c1]Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity. IJCAI 2019: 876-882
Informal and Other Publications
- 2024
- [i27]Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Xuhai Chen, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection. CoRR abs/2401.03145 (2024) - [i26]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 abs/2403.04151 (2024) - [i25]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 abs/2403.11561 (2024) - [i24]Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu:
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. CoRR abs/2403.16002 (2024) - [i23]Yu Yang, Jianbiao Mei, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu:
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries. CoRR abs/2408.15813 (2024) - 2023
- [i22]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 abs/2301.01146 (2023) - [i21]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking. CoRR abs/2302.06805 (2023) - [i20]Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Learning from Noisy Labels with Decoupled Meta Label Purifier. CoRR abs/2302.06810 (2023) - [i19]Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao:
Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes. CoRR abs/2302.06815 (2023) - [i18]Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Iterative Few-shot Semantic Segmentation from Image Label Text. CoRR abs/2303.05646 (2023) - [i17]Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang:
Calibrated Teacher for Sparsely Annotated Object Detection. CoRR abs/2303.07582 (2023) - [i16]Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang:
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection. CoRR abs/2303.09061 (2023) - [i15]Zhengkai Jiang, Liang Liu, Jiangning Zhang, Yabiao Wang, Mingang Chen, Chengjie Wang:
Dual Path Transformer with Partition Attention. CoRR abs/2305.14768 (2023) - [i14]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. CoRR abs/2309.03504 (2023) - [i13]Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Liang Liu, Yabiao Wang, Chengjie Wang:
Toward High Quality Facial Representation Learning. CoRR abs/2309.03575 (2023) - [i12]Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. CoRR abs/2309.03729 (2023) - [i11]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. CoRR abs/2312.05767 (2023) - 2022
- [i10]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 abs/2202.03747 (2022) - [i9]Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang, Tao Wang, Yabiao Wang
FRIH: Fine-grained Region-aware Image Harmonization. CoRR abs/2205.06448 (2022) - 2021
- [i8]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 abs/2112.10683 (2021) - 2020
- [i7]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 abs/2003.13045 (2020) - [i6]Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng:
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs. CoRR abs/2004.02396 (2020) - [i5]Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu:
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals. CoRR abs/2004.14569 (2020) - [i4]Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu:
Hierarchical and Efficient Learning for Person Re-Identification. CoRR abs/2005.08812 (2020) - [i3]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 abs/2008.04776 (2020) - [i2]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 abs/2012.07356 (2020) - 2019
- [i1]Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu:
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning. CoRR abs/1906.08095 (2019)
Coauthor Index
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