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ORCIDQilong Wang 0001
Person information
- affiliation: Tianjin University, China
- affiliation (PhD 2018): Dalian University of Technology, China
- affiliation (former): Heilongjiang University, China
Other persons with the same name
- Qilong Wang — disambiguation page
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2020 – today
- 2024
[j25]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)- [j24]Hao Wang, Tong Jia, Qilong Wang, Wangmeng Zuo:
Relation Knowledge Distillation by Auxiliary Learning for Object Detection. IEEE Trans. Image Process. 33: 4796-4810 (2024) - [c34]Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu:
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR 2024: 23323-23333 - [i22]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) - [i21]Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu:
Fine-Grained Domain Generalization with Feature Structuralization. CoRR abs/2406.09166 (2024) - [i20]Wei Shang, Dongwei Ren, Wanying Zhang, Qilong Wang, Pengfei Zhu, Wangmeng Zuo:
SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction. CoRR abs/2408.11411 (2024) - 2023
- [j23]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) - [j22]Zhe Dong, Qilong Wang, Pengfei Zhu:
Multi-head second-order pooling for graph transformer networks. Pattern Recognit. Lett. 167: 53-59 (2023) - [j21]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) - [j20]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) - [c33]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 - [c32]Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu:
Reliable and Interpretable Personalized Federated Learning. CVPR 2023: 20422-20431 - [c31]Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou:
Tuning Pre-trained Model via Moment Probing. ICCV 2023: 11769-11779 - [c30]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 - [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
- [j19]Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li:
Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing 505: 276-288 (2022) - [j18]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) - [j17]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) - [c29]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 - [c28]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
- [j16]Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li:
ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing 423: 353-361 (2021) - [j15]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) - [j14]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) - [j13]Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo:
Multi-scale structural kernel representation for object detection. Pattern Recognit. 110: 107593 (2021) - [j12]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) - [c27]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 - [c26]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 - [c25]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
- [j11]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) - [j10]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) - [j9]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) - [c24]Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo:
Neural Blind Deconvolution Using Deep Priors. CVPR 2020: 3338-3347 - [c23]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 - [c22]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
- [c21]Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li:
Global Second-Order Pooling Convolutional Networks. CVPR 2019: 3024-3033 - [c20]Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo:
Deep Global Generalized Gaussian Networks. CVPR 2019: 5080-5088 - [c19]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
- [j8]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) - [j7]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) - [j6]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) - [c18]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 - [c17]Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo:
Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR 2018: 1248-1257 - [c16]Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu:
Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME 2018: 1-6 - [c15]Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang:
Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI 2018: 3235-3241 - [c14]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 - [c13]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
- [j5]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) - [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) - [c12]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 - [c11]Qilong Wang, Peihua Li, Lei Zhang:
G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR 2017: 6507-6516 - [c10]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) - [c9]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 - 2015
- [c8]Peihua Li, Xiaoxiao Lu, Qilong Wang:
From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR 2015: 2348-2357 - [c7]Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang:
Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP 2015: 4570-4574 - [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
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last updated on 2024-11-04 20:42 CET by the dblp team
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