Robust Registration-Based Tracking by Sparse Representation with Model Update. - Peihua Li; Qilong Wang 001 (ACCV (3), 2012)

Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. - Peihua Li; Qilong Wang 001 (ECCV (3), 2012)

A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. - Peihua Li; Qilong Wang 001; Lei Zhang 006 (ICCV, 2013)

Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. - Peihua Li; Qilong Wang 001; Wangmeng Zuo; Lei Zhang 006 (ICCV, 2013)

Variational Earth Mover's Distance for Image Segmentation. - Peihua Li; Qilong Wang 001 (ICIG, 2013)

Shrinkage Expansion Adaptive Metric Learning. - Qilong Wang 001; Wangmeng Zuo; Lei Zhang 006; Peihua Li (ECCV (7), 2014)

From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. - Peihua Li; Xiaoxiao Lu; Qilong Wang 001 (CVPR, 2015)

Ask the dictionary: Soft-assignment location-orientation pooling for image classification. - Qilong Wang 001; Xiaona Deng; Peihua Li; Lei Zhang 006 (ICIP, 2015)

RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. - Qilong Wang 001; Peihua Li; Wangmeng Zuo; Lei Zhang 006 (CVPR, 2016)

Evaluation of ground distances and features in EMD-based GMM matching for texture classification. - Hua Hao; Qilong Wang 001; Peihua Li; Lei Zhang 006 (Pattern Recognit., 2016)

Towards effective codebookless model for image classification. - Qilong Wang 001; Peihua Li; Lei Zhang 006; Wangmeng Zuo (Pattern Recognit., 2016)

G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. - Qilong Wang 001; Peihua Li; Lei Zhang 006 (CVPR, 2017)

Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Yukang Ding; Peihua Li; Qilong Wang 001; Yong Xu 001; Wangmeng Zuo (CVPR, 2017)

Is Second-Order Information Helpful for Large-Scale Visual Recognition? - Peihua Li; Jiangtao Xie; Qilong Wang 001; Wangmeng Zuo (ICCV, 2017)

Joint distance and similarity measure learning based on triplet-based constraints. - Mu Li 005; Qilong Wang 001; David Zhang 001; Peihua Li; Wangmeng Zuo (Inf. Sci., 2017)

Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. - Peihua Li; Qilong Wang 001; Hui Zeng 001; Lei Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. - Peihua Li; Hui Zeng 001; Qilong Wang 001; Simon C. K. Shiu; Lei Zhang 006 (IEEE Trans. Image Process., 2017)

Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. - Peihua Li; Jiangtao Xie; Qilong Wang 001; Zilin Gao (CVPR, 2018)

Multi-Scale Location-Aware Kernel Representation for Object Detection. - Hao Wang 073; Qilong Wang 001; Mingqi Gao 006; Peihua Li; Wangmeng Zuo (CVPR, 2018)

Support Vector Metric Learning on Symmetric Positive Definite Manifold. - Hao Cheng 010; Pengfei Zhu 001; Qilong Wang 001; Changqing Zhang; Qinghua Hu (ICME, 2018)

Towards Generalized and Efficient Metric Learning on Riemannian Manifold. - Pengfei Zhu 001; Hao Cheng 010; Qinghua Hu; Qilong Wang 001; Changqing Zhang (IJCAI, 2018)

Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. - Pengfei Zhu 001; Ren Qi; Qinghua Hu; Qilong Wang 001; Changqing Zhang; Liu Yang (IJCAI, 2018)

Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. - Qilong Wang 001; Zilin Gao; Jiangtao Xie; Wangmeng Zuo; Peihua Li (NeurIPS, 2018)

Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. - Qiule Sun; Jianxin Zhang 001; Pengfei Zhu 001; Qilong Wang 001; Peihua Li (IEEE Access, 2018)

Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. - Qiule Sun; Qilong Wang 001; Jianxin Zhang 001; Peihua Li (Neurocomputing, 2018)

An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. - Qilong Wang 001; Xiaoxiao Lu; Peihua Li; Zhenguo Gao; Yongri Piao (IEEE Trans. Circuits Syst. Video Technol., 2018)

Global Second-Order Pooling Convolutional Networks. - Zilin Gao; Jiangtao Xie; Qilong Wang 001; Peihua Li (CVPR, 2019)

Deep Global Generalized Gaussian Networks. - Qilong Wang 001; Peihua Li; Qinghua Hu; Pengfei Zhu 001; Wangmeng Zuo (CVPR, 2019)

Self-Attention Relation Network for Few-Shot Learning. - Binyuan Hui; Pengfei Zhu 001; Qinghua Hu; Qilong Wang 001 (ICME Workshops, 2019)

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. - Hao Wang 073; Qilong Wang 001; Fan Yang 035; Weiqi Zhang; Wangmeng Zuo (CoRR, 2019)

Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. - Longyin Wen; Dawei Du; Pengfei Zhu 001; Qinghua Hu; Qilong Wang 001; Liefeng Bo; Siwei Lyu (CoRR, 2019)

Neural Blind Deconvolution Using Deep Priors. - Dongwei Ren; Kai Zhang 008; Qilong Wang 001; Qinghua Hu; Wangmeng Zuo (CVPR, 2020)

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. - Qilong Wang 001; Banggu Wu; Pengfei Zhu 001; Peihua Li; Wangmeng Zuo; Qinghua Hu (CVPR, 2020)

What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. - Qilong Wang 001; Li Zhang; Banggu Wu; Dongwei Ren; Peihua Li; Wangmeng Zuo; Qinghua Hu (CVPR, 2020)

Learning second-order statistics for place recognition based on robust covariance estimation of CNN features. - Weiqi Zhang; Zifei Yan; Qilong Wang 001; Xiaohe Wu; Wangmeng Zuo (Neurocomputing, 2020)

Locality-constrained affine subspace coding for image classification and retrieval. - Bingbing Zhang 001; Qilong Wang 001; Xiaoxiao Lu; Fasheng Wang; Peihua Li (Pattern Recognit., 2020)

Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. - Hongliang Yan; Zhetao Li; Qilong Wang 001; Peihua Li; Yong Xu 001; Wangmeng Zuo (IEEE Trans. Multim., 2020)

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. - Longyin Wen; Dawei Du; Pengfei Zhu 001; Qinghua Hu; Qilong Wang 001; Liefeng Bo; Siwei Lyu (CVPR, 2021)

Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. - Bowen Dong; Zitong Huang; Yuelin Guo; Qilong Wang 001; Zhenxing Niu; Wangmeng Zuo (ICCV, 2021)

Temporal-attentive Covariance Pooling Networks for Video Recognition. - Zilin Gao; Qilong Wang 001; Bingbing Zhang 001; Qinghua Hu; Peihua Li (NeurIPS, 2021)

So-ViT: Mind Visual Tokens for Vision Transformer. - Jiangtao Xie; Ruiren Zeng; Qilong Wang 001; Ziqi Zhou; Peihua Li (CoRR, 2021)

ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. - Zongxia Xie; Hui Hu; Qilong Wang 001; Renhui Li (Neurocomputing, 2021)

Graph attention mechanism with global contextual information for multi-label image recognition. - Xiaoxiao Ban; Peihua Li; Qilong Wang 001; Shoujun Zhou; Shijie Guo; Yuanquan Wang 001 (J. Electronic Imaging, 2021)

Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. - Qilong Wang 001; Jiangtao Xie; Wangmeng Zuo; Lei Zhang 006; Peihua Li (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Multi-scale structural kernel representation for object detection. - Hao Wang 073; Qilong Wang 001; Peihua Li; Wangmeng Zuo (Pattern Recognit., 2021)

Constrained Online Cut-Paste for Object Detection. - Hao Wang 073; Qilong Wang 001; Hongzhi Zhang; Jian Yang 003; Wangmeng Zuo (IEEE Trans. Circuits Syst. Video Technol., 2021)

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. - Jiangtao Xie; Fei Long; Jiaming Lv; Qilong Wang 001; Peihua Li (CVPR, 2022)

DropCov: A Simple yet Effective Method for Improving Deep Architectures. - Qilong Wang 001; Mingze Gao; Zhaolin Zhang; Jiangtao Xie; Peihua Li; Qinghua Hu (NeurIPS, 2022)

Temporal grafter network: Rethinking LSTM for effective video recognition. - Bingbing Zhang 001; Qilong Wang 001; Zilin Gao; Ruiren Zeng; Peihua Li (Neurocomputing, 2022)

Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation. - Tianqi Ma; Qilong Wang 001; Hongzhi Zhang; Wangmeng Zuo (IEEE Trans. Image Process., 2022)

CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. - Hao Wang 073; Qilong Wang 001; Hongzhi Zhang; Qinghua Hu; Wangmeng Zuo (IEEE Trans. Image Process., 2022)

Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. - Yi Liu; Junwen Pan; Qilong Wang 001; Guanlin Chen; Weiguo Nie; Yudong Zhang; Qian Gao; Qinghua Hu; Pengfei Zhu 001 (CICAI (1), 2023)

Reliable and Interpretable Personalized Federated Learning. - Zixuan Qin; Liu Yang; Qilong Wang 001; Yahong Han; Qinghua Hu (CVPR, 2023)

Tuning Pre-trained Model via Moment Probing. - Mingze Gao; Qilong Wang 001; Zhenyi Lin; Pengfei Zhu 001; Qinghua Hu; Jingbo Zhou (ICCV, 2023)

Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. - Jing Li 132; Liu Yang; Qilong Wang 001; Qinghua Hu (ICME, 2023)

A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. - Yunheng Li; Zhong-Yu Li 006; Shanghua Gao; Qilong Wang 001; Qibin Hou; Ming-Ming Cheng (CoRR, 2023)

Multi-head second-order pooling for graph transformer networks. - Zhe Dong; Qilong Wang 001; Pengfei Zhu 001 (Pattern Recognit. Lett., 2023)

WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. - Jing Li 132; Liu Yang; Qilong Wang 001; Qinghua Hu (IEEE Trans. Circuits Syst. Video Technol., 2023)

Fully Cascade Consistency Learning for One-Stage Object Detection. - Hao Wang 073; Tong Jia 001; Bowen Ma; Qilong Wang 001; Wangmeng Zuo (IEEE Trans. Circuits Syst. Video Technol., 2023)

Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. - Qilong Wang 001; Zhaolin Zhang; Mingze Gao; Jiangtao Xie; Pengfei Zhu 001; Peihua Li; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. - Yuwei Tang; Zhenyi Lin; Qilong Wang 001; Pengfei Zhu 001; Qinghua Hu (CVPR, 2024)

Conditional Controllable Image Fusion. - Bing Cao 002; Xingxin Xu; Pengfei Zhu 001; Qilong Wang 001; Qinghua Hu (NeurIPS, 2024)

Fine-Grained Domain Generalization with Feature Structuralization. - Wenlong Yu; Dongyue Chen; Qilong Wang 001; Qinghua Hu (CoRR, 2024)

SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction. - Wei Shang 001; Dongwei Ren; Wanying Zhang; Qilong Wang 001; Pengfei Zhu 001; Wangmeng Zuo (CoRR, 2024)

S3: Synonymous Semantic Space for Improving Zero-Shot Generalization of Vision-Language Models. - Xiaojie Yin; Qilong Wang 001; Bing Cao 002; Qinghua Hu (CoRR, 2024)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (CoRR, 2024)

Relation Knowledge Distillation by Auxiliary Learning for Object Detection. - Hao Wang 073; Tong Jia 001; Qilong Wang 001; Wangmeng Zuo (IEEE Trans. Image Process., 2024)

Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. - Qilong Wang 001; Yiwen Wu; Liu Yang; Wangmeng Zuo; Qinghua Hu (IEEE Trans. Image Process., 2024)

AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. - Qilong Wang 001; Qiyao Hu; Zilin Gao; Peihua Li; Qinghua Hu (IEEE Trans. Neural Networks Learn. Syst., 2024)

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. - Yilong Wang; Zilin Gao; Qilong Wang 001; Zhaofeng Chen; Peihua Li; Qinghua Hu (CVPR, 2025)

Generative Inbetweening through Frame-wise Conditions-Driven Video Generation. - Tianyi Zhu; Dongwei Ren; Qilong Wang 001; Xiaohe Wu; Wangmeng Zuo (CVPR, 2025)

Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. - Bing Cao 002; Quanhao Lu; Jiekang Feng; Qilong Wang 001; Pengfei Zhu 001; Qinghua Hu (ICLR, 2025)

Asymmetric Factorized Bilinear Operation for Vision Transformer. - Junjie Wu; Qilong Wang 001; Jiangtao Xie; Pengfei Zhu 001; Qinghua Hu (ICLR, 2025)

Multimodal VAD: Visual Anomaly Detection in Intelligent Monitoring System via Audio-Vision-Language. - Dicong Wang; Qilong Wang 001; Qinghua Hu; Kaijun Wu 001 (IEEE Trans. Instrum. Meas., 2025)

WS-SAM: Generalizing SAM to Weakly Supervised Object Detection With Category Label. - Hao Wang 073; Tong Jia 001; Qilong Wang 001; Wangmeng Zuo (IEEE Trans. Image Process., 2025)

DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. - Junjie Wu; Jiangtao Xie; Zhaolin Zhang; Qilong Wang 001; Qinghua Hu; Peihua Li; Sen Xu (CoRR, 2025)

RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition. - Xiaojie Yin; Bing Cao 002; Qinghua Hu; Qilong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. - Pengfei Zhu 001; Jialu Li; Zhe Dong; Qinghua Hu; Xiao Wang 017; Qilong Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. - Yuanze Li; Chun-Mei Feng 001; Qilong Wang 001; Guanglei Yang; Wangmeng Zuo (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models. - Quan-Sheng Zeng; Yunheng Li; Qilong Wang 001; Peng-Tao Jiang; Zuxuan Wu; Ming-Ming Cheng; Qibin Hou (CoRR, 2025)

A2 M2-Net: Adaptively Aligned Multi-scale Moment for Few-Shot Action Recognition. - Zilin Gao; Qilong Wang 001; Bingbing Zhang 001; Qinghua Hu; Peihua Li (Int. J. Comput. Vis., 2025)

BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. - Yu Wang 106; Junxian Mu; Hongzhi Huang; Qilong Wang 001; Pengfei Zhu 001; Qinghua Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)