Qiang Nie

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 32

Top Topics

Weakly Supervised

Action Recognition

Object Detection

Top Venues

Int. J. Comput. Vis.

Publications

Xi Jiang, Ying Chen, Qiang Nie, Jianlin Liu, Yong Liu, Chengjie Wang, Feng Zheng
Toward Multi-class Anomaly Detection: Exploring Class-aware Unified Model against Inter-class Interference. CoRR (2024)
Ying Chen, Yong Liu, Kai Wu, Qiang Nie, Shang Xu, Huifang Ma, Bing Wang, Chengjie Wang
HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching. CoRR (2024)
Qiang Nie, Weifu Fu, Yuhuan Lin, Jialin Li, Yifeng Zhou, Yong Liu, Lei Zhu, Chengjie Wang
Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner. CoRR (2024)
Xi Jiang, Ying Chen, Qiang Nie, Yong Liu, Jianlin Liu, Bin-Bin Gao, Jun Liu, Chengjie Wang, Feng Zheng
SoftPatch: Unsupervised Anomaly Detection with Noisy Data. CoRR (2024)
Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng
Tuning-Free Image Customization with Image and Text Guidance. CoRR (2024)
Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking. CoRR (2024)
Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. AAAI (2024)
Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt. CoRR (2024)
Qiangang Du, Jinlong Peng, Xu Chen, Qingdong He, Liren He, Qiang Nie, Wenbing Zhu, Mingmin Chi, Yabiao Wang, Chengjie Wang
Single-temporal Supervised Remote Change Detection for Domain Generalization. CoRR (2024)
Qingdong He, Jinlong Peng, Zhengkai Jiang, Xiaobin Hu, Jiangning Zhang, Qiang Nie, Yabiao Wang, Chengjie Wang
PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models. CoRR (2024)
Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. AAAI (2024)
Kai Zhai, Qiang Nie, Bo Ouyang, Xiang Li, Shanlin Yang
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation. CoRR (2023)
WeiFu Fu, Qiang Nie, Jialin Li, Yuhuan Lin, Kai Wu, Yong Liu, Chengjie Wang
Semi-supervised Domain Adaptation with Inter and Intra-domain Mixing for Semantic Segmentation. CoRR (2023)
Dihe Huang, Ying Chen, Yikang Ding, Yong Liu, Qiang Nie, Chengjie Wang, Zhiheng Li
Enhancing Grid-Based 3D Object Detection in Autonomous Driving With Improved Dimensionality Reduction. IEEE Access 11 (2023)
Jialin Li, WeiFu Fu, Yuhuan Lin, Qiang Nie, Yong Liu
Can the Query-based Object Detector Be Designed with Fewer Stages? CoRR (2023)
Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. CoRR (2023)
Qiang Nie, Ziwei Liu, Yunhui Liu
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept. Int. J. Comput. Vis. 131 (5) (2023)
Kai Zhai, Qiang Nie, Bo Ouyang, Xiang Li, Shanlin Yang
HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation. ICCV (2023)
Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen
Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. CoRR (2023)
Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. CoRR (2023)
Jianlin Liu, Qiang Nie, Yong Liu, Chengjie Wang
NeRF-Loc: Visual Localization with Conditional Neural Radiance Field. ICRA (2023)
Wen Chen, Haoang Li, Qiang Nie, Yun-Hui Liu
Deterministic Point Cloud Registration via Novel Transformation Decomposition. CVPR (2022)
Dihe Huang, Ying Chen, Yikang Ding, Jinli Liao, Jianlin Liu, Kai Wu, Qiang Nie, Yong Liu, Chengjie Wang
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection. CoRR (2022)
Kangcheng Liu, Yuzhi Zhao, Qiang Nie, Zhi Gao, Ben M. Chen
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination. ECCV (28) (2022)
Xi Jiang, Jianlin Liu, Jinbao Wang, Qiang Nie, Kai Wu, Yong Liu, Chengjie Wang, Feng Zheng
SoftPatch: Unsupervised Anomaly Detection with Noisy Data. NeurIPS (2022)
Qiang Nie, Yunhui Liu
View Transfer on Human Skeleton Pose: Automatically Disentangle the View-Variant and View-Invariant Information for Pose Representation Learning. Int. J. Comput. Vis. 129 (1) (2021)
Qiang Nie, Ziwei Liu, Yunhui Liu
Lifting 2D Human Pose to 3D with Domain Adapted 3D Body Concept. CoRR (2021)
Shu Miao, Dayuan Chen, Qiang Nie, Xin Jiang, Xulin Sun, Jianjun Dai, Yun-Hui Liu, Xiang Li
Development of a Vision-Based Robotic Manipulation System for Transferring of Oocytes. IROS (2021)
Qiang Nie, Ziwei Liu, Yunhui Liu
Unsupervised Human 3D Pose Representation with Viewpoint and Pose Disentanglement. CoRR (2020)
Qiang Nie, Ziwei Liu, Yunhui Liu
Unsupervised 3D Human Pose Representation with Viewpoint and Pose Disentanglement. ECCV (19) (2020)
Qiang Nie, Jiangliu Wang, Xin Wang, Yunhui Liu
View-Invariant Human Action Recognition Based on a 3D Bio-Constrained Skeleton Model. IEEE Trans. Image Process. 28 (8) (2019)
Qiang Nie, Xin Wang, Jiangliu Wang, Manlin Wang, Yunhui Liu
A child caring robot for the dangerous behavior detection based on the object recognition and human action recognition. ROBIO (2018)
Lin Li, Sujuan Rui, Qiang Nie, Xiaoyong Gong, Faping Li
Conformal Alpha Shape-based Multi-scale Curvature Estimation from Point Clouds. J. Comput. 7 (6) (2012)