Qilong Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 79

Top Topics

Blind Deconvolution

Metric Learning

Object Detection

Multivariate Gaussian

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
Fine-Grained Domain Generalization with Feature Structuralization. CoRR (2024)
Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. 33 (2024)
Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR (2024)
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 (2024)
Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu
Reliable and Interpretable Personalized Federated Learning. CVPR (2023)
Qilong Wang, Hongmei Chen, Lizhen Wang
Continuous Sub-prevalent Co-location Pattern Mining. SpatialDI (2023)
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) (2023)
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) (2023)
Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
Tuning Pre-trained Model via Moment Probing. CoRR (2023)
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) (2023)
Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR (2023)
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)
Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
Tuning Pre-trained Model via Moment Probing. ICCV (2023)
Zhe Dong, Qilong Wang, Pengfei Zhu
Multi-head second-order pooling for graph transformer networks. Pattern Recognit. Lett. 167 (2023)
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)
Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li
Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing 505 (2022)
Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS (2022)
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 (2022)
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR (2022)
Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR (2022)
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) (2022)
Tianqi Ma, Qilong Wang, Hongzhi Zhang, Wangmeng Zuo
Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation. IEEE Trans. Image Process. 31 (2022)
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 (2021)
Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing 423 (2021)
Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo
Multi-scale structural kernel representation for object detection. Pattern Recognit. 110 (2021)
Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
So-ViT: Mind Visual Tokens for Vision Transformer. CoRR (2021)
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) (2021)
Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR (2021)
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) (2021)
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 (2021)
Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. CoRR (2021)
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)
Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. ICCV (2021)
Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS (2021)
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) (2021)
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)
Shouxin Yan, Qilong Wang, Pengfei Su, Wei Wang
An Intelligent Path Generation Method of Robotic Grinding for Large Forging Parts. ICIRA (3) (2021)
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 (2020)
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR (2020)
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 (2020)
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)
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
Neural Blind Deconvolution Using Deep Priors. CVPR (2020)
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) (2020)
Qilong Wang, Yu Zhang, Weichao Shi, Meng Nie
Laser Ranging-Assisted Binocular Visual Sensor Tracking System. Sensors 20 (3) (2020)
Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li
Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. 100 (2020)
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR (2019)
Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
Global Second-Order Pooling Convolutional Networks. CVPR (2019)
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)
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 (2019)
Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo
Deep Global Generalized Gaussian Networks. CVPR (2019)
Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang
Self-Attention Relation Network for Few-Shot Learning. ICME Workshops (2019)
Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR (2019)
Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
Neural Blind Deconvolution Using Deep Priors. CoRR (2019)
Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo
Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. CoRR (2019)
Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
Multi-scale Location-aware Kernel Representation for Object Detection. CoRR (2018)
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)
Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR (2018)
Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
Global Second-order Pooling Convolutional Networks. CoRR (2018)
Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li
Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access 6 (2018)
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) (2018)
Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME (2018)
Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR (2018)
Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI (2018)
Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li
Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing 282 (2018)
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)
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) (2017)
Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV (2017)
Qilong Wang, Jianyong Li
Target tracking for a correlated multi-sensor system with constant time delay. J. Syst. Control. Eng. 231 (9) (2017)
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)
Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR (2017)
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 (2017)
Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR (2017)
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) (2017)
Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo
Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. 406 (2017)
Qilong Wang, Peihua Li, Lei Zhang
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR (2017)
Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang
RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR (2016)
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)
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 (2016)
Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
Towards effective codebookless model for image classification. Pattern Recognit. 59 (2016)
Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
Towards Effective Codebookless Model for Image Classification. CoRR (2015)
Peihua Li, Xiaoxiao Lu, Qilong Wang
From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR (2015)
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)
Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang
Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP (2015)
Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li
Shrinkage Expansion Adaptive Metric Learning. ECCV (7) (2014)
Peihua Li, Qilong Wang, Lei Zhang
A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV (2013)
Peihua Li, Qilong Wang
Variational Earth Mover's Distance for Image Segmentation. ICIG (2013)
Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang
Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV (2013)
Peihua Li, Qilong Wang
Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) (2012)
Peihua Li, Qilong Wang
Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) (2012)