Liang Liu

62 papers A* 21A 1Misc 1Journal 35Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking.
ACM Multimedia
Yuehao Huang, Liang Liu, Shuangming Lei, Yukai Ma, Hao Su, Jianbiao Mei, Pengxiang Zhao, Yaqing Gu, Yong Liu, Jiajun Lv
2025 J jnl
CogDDN: A Cognitive Demand-Driven Navigation with Decision Optimization and Dual-Process Thinking.
CoRR
Yuehao Huang, Liang Liu, Shuangming Lei, Yukai Ma, Hao Su, Jianbiao Mei, Pengxiang Zhao, Yaqing Gu, Yong Liu, Jiajun Lv
2024 A conf
A Robotic-centric Paradigm for 3D Human Tracking Under Complex Environments Using Multi-modal Adaptation.
IROS
Shuo Xin, Zhen Zhang, Liang Liu, Xiaojun Hou, Deye Zhu, Mengmeng Wang, Yong Liu
2024 A* conf
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model.
AAAI
Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang
2024 J jnl
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries.
CoRR
Yu Yang, Jianbiao Mei, Liang Liu, Siliang Du, Yilin Xiao, Jongwon Ra, Yong Liu, Xiao Xu, Huifeng Wu
2024 J jnl
Dual-path Frequency Discriminators for Few-shot Anomaly Detection.
CoRR
Yuhu Bai, Jiangning Zhang, Yuhang Dong, Guanzhong Tian, Liang Liu, Yunkang Cao, Yabiao Wang, Chengjie Wang
2024 — conf
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.
ECCV (67)
Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2024 J jnl
Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.
CoRR
Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
2024 A* conf
Multi-modal 3D Human Tracking for Robots in Complex Environment with Siamese Point-Video Transformer.
ICRA
Shuo Xin, Zhen Zhang, Mengmeng Wang, Xiaojun Hou, Yaowei Guo, Xiao Kang, Liang Liu, Yong Liu
2024 A* conf
Rethinking Reverse Distillation for Multi-Modal Anomaly Detection.
AAAI
Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng, Zhenye Gan, Guannan Jiang, Annan Shu, Yabiao Wang, Lizhuang Ma
2024 A* conf
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking.
CVPR
Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
2024 J jnl
SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking.
CoRR
Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu
2024 A* conf
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.
AAAI
Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Cairong Zhao
2024 — conf
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.
ECCV (2)
Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
2024 J jnl
Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.
CoRR
Yuanpeng Tu, Boshen Zhang, Liang Liu, Yuxi Li, Xuhai Chen, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 J jnl
AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model.
CoRR
Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen, Liang Liu, Yabiao Wang, Chengjie Wang
2023 A* conf
Calibrated Teacher for Sparsely Annotated Object Detection.
AAAI
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 J jnl
Calibrated Teacher for Sparsely Annotated Object Detection.
CoRR
Haohan Wang, Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 J jnl
Dual Path Transformer with Partition Attention.
CoRR
Zhengkai Jiang, Liang Liu, Jiangning Zhang, Yabiao Wang, Mingang Chen, Chengjie Wang
2023 J jnl
Iterative Few-shot Semantic Segmentation from Image Label Text.
CoRR
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2023 A* conf
Learning from Noisy Labels with Decoupled Meta Label Purifier.
CVPR
Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 J jnl
Learning from Noisy Labels with Decoupled Meta Label Purifier.
CoRR
Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 A* conf
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking.
CVPR
Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 J jnl
Learning with Noisy labels via Self-supervised Adversarial Noisy Masking.
CoRR
Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 A* conf
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.
CVPR
Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang
2023 J jnl
MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.
CoRR
Liang Liu, Boshen Zhang, Jiangning Zhang, Wuhao Zhang, Zhenye Gan, Guanzhong Tian, Wenbing Zhu, Yabiao Wang, Chengjie Wang
2023 A* conf
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.
ICCV
Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma
2023 J jnl
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.
CoRR
Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma
2023 A* conf
Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection.
ICCV
Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma
2023 A* conf
Rethinking Mobile Block for Efficient Attention-based Models.
ICCV
Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang
2023 J jnl
Rethinking Mobile Block for Efficient Neural Models.
CoRR
Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang
2023 J jnl
Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.
CoRR
Yuanpeng Tu, Yuxi Li, Boshen Zhang, Liang Liu, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cairong Zhao
2023 A* conf
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
ACM Multimedia
Teng Hu, Ran Yi, Haokun Zhu, Liang Liu, Jinlong Peng, Yabiao Wang, Chengjie Wang, Lizhuang Ma
2023 J jnl
Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
CoRR
Teng Hu, Ran Yi, Haokun Zhu, Liang Liu, Jinlong Peng, Yabiao Wang, Chengjie Wang, Lizhuang Ma
2023 A* conf
Toward High Quality Facial Representation Learning.
ACM Multimedia
Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Liang Liu, Yabiao Wang, Chengjie Wang
2023 J jnl
Toward High Quality Facial Representation Learning.
CoRR
Yue Wang, Jinlong Peng, Jiangning Zhang, Ran Yi, Liang Liu, Yabiao Wang, Chengjie Wang
2022 J jnl
Extended Feature Pyramid Network for Small Object Detection.
IEEE Trans. Multim.
Chunfang Deng, Mengmeng Wang, Liang Liu, Yong Liu, Yunliang Jiang
2022 J jnl
FRIH: Fine-grained Region-aware Image Harmonization.
CoRR
Jinlong Peng, Zekun Luo, Liang Liu, Boshen Zhang, Tao Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Weiyao Lin
2022 A* conf
ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation.
CVPR
Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu
2022 A* conf
Iterative Few-shot Semantic Segmentation from Image Label Text.
IJCAI
Haohan Wang, Liang Liu, Wuhao Zhang, Jiangning Zhang, Zhenye Gan, Yabiao Wang, Chengjie Wang, Haoqian Wang
2022 — conf
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.
ECCV Workshops (4)
Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang
2022 J jnl
STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.
CoRR
Zhengkai Jiang, Zhangxuan Gu, Jinlong Peng, Hang Zhou, Liang Liu, Yabiao Wang, Ying Tai, Chengjie Wang, Liqing Zhang
2021 J jnl
A Learning Framework for n-Bit Quantized Neural Networks Toward FPGAs.
IEEE Trans. Neural Networks Learn. Syst.
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2021 A* conf
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation.
AAAI
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
2021 J jnl
Learning hierarchical and efficient Person re-identification for robotic navigation.
Int. J. Intell. Robotics Appl.
Jiangning Zhang, Chao Xu, Xiangrui Zhao, Liang Liu, Yong Liu, Jinqiang Yao, Zaisheng Pan
2021 J jnl
SelFSR: Self-Conditioned Face Super-Resolution in the Wild via Flow Field Degradation Network.
CoRR
Xianfang Zeng, Jiangning Zhang, Liang Liu, Guanzhong Tian, Yong Liu
2020 J jnl
A Learning Framework for n-bit Quantized Neural Networks toward FPGAs.
CoRR
Jun Chen, Liang Liu, Yong Liu, Xianfang Zeng
2020 Misc conf
APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals.
ICASSP
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
2020 J jnl
APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals.
CoRR
Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu
2020 — conf
DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image.
ECCV (5)
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
2020 J jnl
DTVNet: Dynamic Time-lapse Video Generation via Single Still Image.
CoRR
Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang
2020 A* conf
FReeNet: Multi-Identity Face Reenactment.
CVPR
Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan
2020 J jnl
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation.
CoRR
Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan
2020 J jnl
Hierarchical and Efficient Learning for Person Re-Identification.
CoRR
Jiangning Zhang, Liang Liu, Chao Xu, Yong Liu
2020 A* conf
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation.
CVPR
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020 J jnl
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation.
CoRR
Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020 J jnl
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning.
Pattern Recognit.
Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu, Yunliang Jiang
2019 J jnl
Learning-Based Hand Motion Capture and Understanding in Assembly Process.
IEEE Trans. Ind. Electron.
Liang Liu, Yong Liu, Jiangning Zhang
2019 J jnl
ObjectFusion: An object detection and segmentation framework with RGB-D SLAM and convolutional neural networks.
Neurocomputing
Guanzhong Tian, Liang Liu, JongHyok Ri, Yong Liu, Yiran Sun
2019 J jnl
PoseConvGRU: A Monocular Approach for Visual Ego-motion Estimation by Learning.
CoRR
Guangyao Zhai, Liang Liu, Linjian Zhang, Yong Liu
2019 A* conf
Unsupervised Learning of Scene Flow Estimation Fusing with Local Rigidity.
IJCAI
Liang Liu, Guangyao Zhai, Wenlong Ye, Yong Liu
2018 J jnl
Accurate real-time ball trajectory estimation with onboard stereo camera system for humanoid ping-pong robot.
Robotics Auton. Syst.
Yong Liu, Liang Liu