![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
Qilong Wang
Person information
Refine list
![note](https://dblp1.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j30]Qilong Wang, Yilin Ren, Haojie Wang, Jiansong Wang, Yang Yang, Qiangqiang Zhang, Guangsheng Zhou:
Wind-induced response of rapeseed seedling stage and lodging prediction based on UAV imagery and machine learning methods. Comput. Electron. Agric. 217: 108637 (2024) - [j29]Qilong Wang
, Yiwen Wu, Liu Yang
, Wangmeng Zuo
, Qinghua Hu
:
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33: 1977-1989 (2024) - [i21]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR abs/2404.08958 (2024) - [i20]Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu:
Fine-Grained Domain Generalization with Feature Structuralization. CoRR abs/2406.09166 (2024) - 2023
- [j28]Qilong Wang
, Zhaolin Zhang
, Mingze Gao
, Jiangtao Xie
, Pengfei Zhu
, Peihua Li
, Wangmeng Zuo
, Qinghua Hu
:
Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15802-15819 (2023) - [j27]Zhe Dong, Qilong Wang, Pengfei Zhu:
Multi-head second-order pooling for graph transformer networks. Pattern Recognit. Lett. 167: 53-59 (2023) - [j26]Jing Li
, Liu Yang
, Qilong Wang
, Qinghua Hu
:
WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 33(9): 5133-5147 (2023) - [j25]Hao Wang
, Tong Jia
, Bowen Ma
, Qilong Wang
, Wangmeng Zuo
:
Fully Cascade Consistency Learning for One-Stage Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5986-5998 (2023) - [c38]Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu:
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) 2023: 156-169 - [c37]Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - [c36]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. ICCV 2023: 11769-11779 - [c35]Jing Li
, Liu Yang, Qilong Wang, Qinghua Hu:
Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME 2023: 2675-2680 - [c34]Qilong Wang, Hongmei Chen, Lizhen Wang:
Continuous Sub-prevalent Co-location Pattern Mining. SpatialDI 2023: 192-203 - [i19]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. CoRR abs/2307.11342 (2023) - [i18]Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng:
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR abs/2312.05830 (2023) - 2022
- [j24]Cheng Peng
, Jiaqi Wu, Qilong Wang, Weihua Gui, Zhaohui Tang:
Remaining Useful Life Prediction Using Dual-Channel LSTM with Time Feature and Its Difference. Entropy 24(12): 1818 (2022) - [j23]Bingbing Zhang, Qilong Wang, Zilin Gao
, Ruiren Zeng, Peihua Li:
Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing 505: 276-288 (2022) - [j22]Tianqi Ma
, Qilong Wang
, Hongzhi Zhang, Wangmeng Zuo
:
Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31: 1406-1417 (2022) - [j21]Hao Wang
, Qilong Wang
, Hongzhi Zhang, Qinghua Hu
, Wangmeng Zuo
:
CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. IEEE Trans. Image Process. 31: 2962-2974 (2022) - [c33]Jiangtao Xie
, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li:
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR 2022: 7962-7971 - [c32]Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu:
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS 2022 - [i17]Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li:
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR abs/2204.04567 (2022) - 2021
- [j20]Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li:
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing 423: 353-361 (2021) - [j19]Yanwei Chen, Keke Wang, Mengyuan Shang, Shuangshuang Zhao, Zheng Zhang, Haizhen Yang, Zheming Chen, Rui Du, Qilong Wang, Baoding Chen:
Exploration of DNA Methylation-Driven Genes in Papillary Thyroid Carcinoma Based on the Cancer Genome Atlas. J. Comput. Biol. 28(1): 99-114 (2021) - [j18]Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang
:
Graph attention mechanism with global contextual information for multi-label image recognition. J. Electronic Imaging 30(6) (2021) - [j17]Qilong Wang
, Jiangtao Xie
, Wangmeng Zuo
, Lei Zhang
, Peihua Li
:
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. 43(8): 2582-2597 (2021) - [j16]Hao Wang
, Qilong Wang, Peihua Li, Wangmeng Zuo
:
Multi-scale structural kernel representation for object detection. Pattern Recognit. 110: 107593 (2021) - [j15]Qilong Wang, Wei Wang, Lianyu Zheng
, Chao Yun:
Force control-based vibration suppression in robotic grinding of large thin-wall shells. Robotics Comput. Integr. Manuf. 67: 102031 (2021) - [j14]Hao Wang
, Qilong Wang, Hongzhi Zhang, Jian Yang
, Wangmeng Zuo
:
Constrained Online Cut-Paste for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(10): 4071-4083 (2021) - [c31]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR 2021: 7812-7821 - [c30]Bowen Dong
, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. ICCV 2021: 2856-2865 - [c29]Shouxin Yan, Qilong Wang, Pengfei Su, Wei Wang:
An Intelligent Path Generation Method of Robotic Grinding for Large Forging Parts. ICIRA (3) 2021: 3-13 - [c28]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS 2021: 13587-13598 - [i16]Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li:
So-ViT: Mind Visual Tokens for Vision Transformer. CoRR abs/2104.10935 (2021) - [i15]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR abs/2105.02440 (2021) - [i14]Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo:
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. CoRR abs/2108.01499 (2021) - [i13]Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li:
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR abs/2110.14381 (2021) - 2020
- [j13]Weiqi Zhang
, Zifei Yan
, Qilong Wang, Xiaohe Wu, Wangmeng Zuo:
Learning second-order statistics for place recognition based on robust covariance estimation of CNN features. Neurocomputing 398: 197-208 (2020) - [j12]Bingbing Zhang
, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li:
Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. 100: 107167 (2020) - [j11]Qilong Wang
, Yu Zhang, Weichao Shi, Meng Nie:
Laser Ranging-Assisted Binocular Visual Sensor Tracking System. Sensors 20(3): 688 (2020) - [j10]Hongliang Yan
, Zhetao Li
, Qilong Wang, Peihua Li
, Yong Xu
, Wangmeng Zuo
:
Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. 22(9): 2420-2433 (2020) - [c27]Dongwei Ren
, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CVPR 2020: 3338-3347 - [c26]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR 2020: 10768-10777 - [c25]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR 2020: 11531-11539 - [i12]Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu:
What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR abs/2003.11241 (2020)
2010 – 2019
- 2019
- [c24]Zilin Gao
, Jiangtao Xie
, Qilong Wang, Peihua Li:
Global Second-Order Pooling Convolutional Networks. CVPR 2019: 3024-3033 - [c23]Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. CVPR 2019: 5080-5088 - [c22]Daxian Hao, Wei Wang, Gang Zhang, Qilong Wang, Chao Yun:
Dynamic Behavior Analysis and Multi-sensor Modal Information Fusion for Robotic Milling System. ICIRA (6) 2019: 469-481 - [c21]Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang:
Self-Attention Relation Network for Few-Shot Learning. ICME Workshops 2019: 198-203 - [i11]Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li:
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR abs/1904.06836 (2019) - [i10]Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo:
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. CoRR abs/1906.00358 (2019) - [i9]Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CoRR abs/1908.02197 (2019) - [i8]Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu:
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR abs/1910.03151 (2019) - [i7]Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu:
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR abs/1912.01811 (2019) - 2018
- [j9]Qiule Sun, Jianxin Zhang
, Pengfei Zhu, Qilong Wang, Peihua Li:
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access 6: 5531-5537 (2018) - [j8]Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li:
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing 282: 174-183 (2018) - [j7]Qilong Wang, Xiaoxiao Lu, Peihua Li
, Zhenguo Gao, Yongri Piao:
An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2449-2459 (2018) - [c20]Peihua Li, Jiangtao Xie
, Qilong Wang, Zilin Gao
:
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR 2018: 947-955 - [c19]Hao Wang
, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR 2018: 1248-1257 - [c18]Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6 - [c17]Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241 - [c16]Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang:
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI 2018: 3242-3248 - [c15]Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li:
Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. NeurIPS 2018: 1284-1293 - [i6]Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-scale Location-aware Kernel Representation for Object Detection. CoRR abs/1804.00428 (2018) - [i5]Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-order Pooling Convolutional Networks. CoRR abs/1811.12006 (2018) - 2017
- [j6]Mu Li, Qilong Wang, David Zhang
, Peihua Li, Wangmeng Zuo:
Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. 406: 119-132 (2017) - [j5]Qilong Wang, Jianyong Li:
Target tracking for a correlated multi-sensor system with constant time delay. J. Syst. Control. Eng. 231(9): 753-761 (2017) - [j4]Peihua Li
, Qilong Wang, Hui Zeng
, Lei Zhang
:
Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 803-817 (2017) - [j3]Peihua Li
, Hui Zeng
, Qilong Wang, Simon C. K. Shiu
, Lei Zhang
:
High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. IEEE Trans. Image Process. 26(7): 3372-3384 (2017) - [c14]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR 2017: 945-954 - [c13]Qilong Wang, Peihua Li, Lei Zhang:
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR 2017: 6507-6516 - [c12]Peihua Li, Jiangtao Xie
, Qilong Wang, Wangmeng Zuo:
Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV 2017: 2089-2097 - [i4]Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo:
Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR abs/1703.08050 (2017) - [i3]Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo:
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR abs/1705.00609 (2017) - [i2]Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao:
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR abs/1712.01034 (2017) - 2016
- [j2]Hua Hao, Qilong Wang, Peihua Li, Lei Zhang
:
Evaluation of ground distances and features in EMD-based GMM matching for texture classification. Pattern Recognit. 57: 152-163 (2016) - [j1]Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo:
Towards effective codebookless model for image classification. Pattern Recognit. 59: 63-71 (2016) - [c11]Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang:
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR 2016: 4433-4441 - [c10]Neng Wan, Hehong Fan, Zhifang Dong, Meng Zhang, Lihua Ye, Qilong Wang, Chen Li, Xuefei Zhong:
Benefits of embedding student research training projects in an engineering introductory seminar course. TALE 2016: 181-184 - 2015
- [c9]Peihua Li, Xiaoxiao Lu, Qilong Wang:
From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR 2015: 2348-2357 - [c8]Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang:
Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP 2015: 4570-4574 - [c7]Hehong Fan, Zhifang Dong, Meng Zhang, Lihua Ye, Neng Wan, Chen Li, Qilong Wang, Xuefei Zhong:
A scheme for composite ability evaluations in an engineering introductory seminar course. TALE 2015: 262-266 - [i1]Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo:
Towards Effective Codebookless Model for Image Classification. CoRR abs/1507.02385 (2015) - 2014
- [c6]Qilong Wang, Wangmeng Zuo, Lei Zhang
, Peihua Li:
Shrinkage Expansion Adaptive Metric Learning. ECCV (7) 2014: 456-471 - 2013
- [c5]Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang
:
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV 2013: 1601-1608 - [c4]Peihua Li, Qilong Wang, Lei Zhang
:
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV 2013: 1689-1696 - [c3]Peihua Li, Qilong Wang:
Variational Earth Mover's Distance for Image Segmentation. ICIG 2013: 236-242 - 2012
- [c2]Peihua Li, Qilong Wang:
Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) 2012: 205-216 - [c1]Peihua Li, Qilong Wang:
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) 2012: 469-482
Coauthor Index
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-26 19:36 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint