Qilong Wang - RankMe

113 papers A* 30A 2B 1Misc 1Journal 74Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeST: A Decoupled Spatio-Temporal Framework for Action Segmentation. Int. J. Comput. Vis. Yunheng Li, Zhongyu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
2026	J	`jnl`	Heterogeneous Federated Dynamic Graph HyperNetwork for Image Classification. IEEE Trans. Image Process. Liu Yang, Kegen Chen, Qilong Wang, Zhengyi Xu, Shiqiao Gu, Qinghua Hu
2026	J	`jnl`	Mixture of Style Experts for Diverse Image Stylization. CoRR Shihao Zhu, Ziheng Ouyang, Yijia Kang, Qilong Wang, Mi Zhou, Bo Li, Ming-Ming Cheng, Qibin Hou
2026	J	`jnl`	Orientation-Aware Task-Decoupled Learning for Oriented Object Detection. IEEE Trans. Multim. Ting Yang, Qilong Wang, Qinghua Hu
2026	J	`jnl`	RGBX-R1: Visual Modality Chain-of-Thought Guided Reinforcement Learning for Multimodal Grounding. CoRR Jiahe Wu, Bing Cao, Qilong Wang, Qinghua Hu, Dongdong Li, Pengfei Zhu
2025	J	`jnl`	A CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	J	`jnl`	A Int. J. Comput. Vis. Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2025	J	`jnl`	A Glimpse to Compress: Dynamic Visual Token Pruning for Large Vision-Language Models. CoRR Quan-Sheng Zeng, Yunheng Li, Qilong Wang, Peng-Tao Jiang, Zuxuan Wu, Ming-Ming Cheng, Qibin Hou
2025	A*	`conf`	Asymmetric Factorized Bilinear Operation for Vision Transformer. ICLR Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	Automatic Label Assignment for Object Detection. IEEE Trans. Circuits Syst. Video Technol. Hao Wang, Tong Jia, Qilong Wang, Wangmeng Zuo
2025	J	`jnl`	BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. CoRR Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	BackMix: Regularizing Open Set Recognition by Removing Underlying Fore-Background Priors. IEEE Trans. Pattern Anal. Mach. Intell. Yu Wang, Junxian Mu, Hongzhi Huang, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	CCP-GNN: Competitive Covariance Pooling for Improving Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Pengfei Zhu, Jialu Li, Zhe Dong, Qinghua Hu, Xiao Wang, Qilong Wang
2025	J	`jnl`	DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. CoRR Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu
2025	J	`jnl`	Decoupled Multi-Predictor Optimization for Inference-Efficient Model Tuning. CoRR Liwei Luo, Shuaitengyuan Li, Dongwei Ren, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	A*	`conf`	Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. ICLR Bing Cao, Quanhao Lu, Jiekang Feng, Qilong Wang, Pengfei Zhu, Qinghua Hu
2025	J	`jnl`	Fine-Grained Domain Generalization With Feature Structuralization. IEEE Trans. Multim. Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
2025	A*	`conf`	Generative Inbetweening through Frame-wise Conditions-Driven Video Generation. CVPR Tianyi Zhu, Dongwei Ren, Qilong Wang, Xiaohe Wu, Wangmeng Zuo
2025	J	`jnl`	Multimodal VAD: Visual Anomaly Detection in Intelligent Monitoring System via Audio-Vision-Language. IEEE Trans. Instrum. Meas. Dicong Wang, Qilong Wang, Qinghua Hu, Kaijun Wu
2025	J	`jnl`	RD-OpenMax: Rethinking OpenMax for Robust Realistic Open-Set Recognition. IEEE Trans. Neural Networks Learn. Syst. Xiaojie Yin, Bing Cao, Qinghua Hu, Qilong Wang
2025	J	`jnl`	RoomEditor++: A Parameter-Sharing Diffusion Architecture for High-Fidelity Furniture Synthesis. CoRR Qilong Wang, Xiaofan Ming, Zhenyi Lin, Jinwen Li, Dongwei Ren, Wangmeng Zuo, Qinghua Hu
2025	A*	`conf`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CVPR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2025	J	`jnl`	Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multitask Learning Perspective. IEEE Trans. Neural Networks Learn. Syst. Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo
2025	J	`jnl`	WS-SAM: Generalizing SAM to Weakly Supervised Object Detection With Category Label. IEEE Trans. Image Process. Hao Wang, Tong Jia, Qilong Wang, Wangmeng Zuo
2024	J	`jnl`	AMS-Net: Modeling Adaptive Multi-Granularity Spatio-Temporal Cues for Video Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Qilong Wang, Qiyao Hu, Zilin Gao, Peihua Li, Qinghua Hu
2024	A*	`conf`	AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CVPR Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
2024	J	`jnl`	AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning. CoRR Yuwei Tang, Zhenyi Lin, Qilong Wang, Pengfei Zhu, Qinghua Hu
2024	A*	`conf`	Conditional Controllable Image Fusion. NeurIPS Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
2024	J	`jnl`	Conditional Controllable Image Fusion. CoRR Bing Cao, Xingxin Xu, Pengfei Zhu, Qilong Wang, Qinghua Hu
2024	J	`jnl`	Efficient Masked AutoEncoder for Video Object Counting and A Large-Scale Benchmark. CoRR Bing Cao, Quanhao Lu, Jiekang Feng, Pengfei Zhu, Qinghua Hu, Qilong Wang
2024	J	`jnl`	Fine-Grained Domain Generalization with Feature Structuralization. CoRR Wenlong Yu, Dongyue Chen, Qilong Wang, Qinghua Hu
2024	J	`jnl`	Generative Inbetweening through Frame-wise Conditions-Driven Video Generation. CoRR Tianyi Zhu, Dongwei Ren, Qilong Wang, Xiaohe Wu, Wangmeng Zuo
2024	J	`jnl`	Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation. IEEE Trans. Image Process. Qilong Wang, Yiwen Wu, Liu Yang, Wangmeng Zuo, Qinghua Hu
2024	J	`jnl`	Relation Knowledge Distillation by Auxiliary Learning for Object Detection. IEEE Trans. Image Process. Hao Wang, Tong Jia, Qilong Wang, Wangmeng Zuo
2024	J	`jnl`	S CoRR Xiaojie Yin, Qilong Wang, Bing Cao, Qinghua Hu
2024	J	`jnl`	SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction. CoRR Wei Shang, Dongwei Ren, Wanying Zhang, Qilong Wang, Pengfei Zhu, Wangmeng Zuo
2024	J	`jnl`	TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition. CoRR Yilong Wang, Zilin Gao, Qilong Wang, Zhaofeng Chen, Peihua Li, Qinghua Hu
2024	J	`jnl`	Unprejudiced Training Auxiliary Tasks Makes Primary Better: A Multi-Task Learning Perspective. CoRR Yuanze Li, Chun-Mei Feng, Qilong Wang, Guanglei Yang, Wangmeng Zuo
2023	J	`jnl`	A Decoupled Spatio-Temporal Framework for Skeleton-based Action Segmentation. CoRR Yunheng Li, Zhong-Yu Li, Shanghua Gao, Qilong Wang, Qibin Hou, Ming-Ming Cheng
2023	A	`conf`	Coarse Helps Fine: A Multi-Granularity Discriminative Adversarial Network for Fine-Grained Open-Set Domain Adaptation. ICME Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2023	J	`jnl`	Fully Cascade Consistency Learning for One-Stage Object Detection. IEEE Trans. Circuits Syst. Video Technol. Hao Wang, Tong Jia, Bowen Ma, Qilong Wang, Wangmeng Zuo
2023	J	`jnl`	Multi-head second-order pooling for graph transformer networks. Pattern Recognit. Lett. Zhe Dong, Qilong Wang, Pengfei Zhu
2023	A*	`conf`	Reliable and Interpretable Personalized Federated Learning. CVPR Zixuan Qin, Liu Yang, Qilong Wang, Yahong Han, Qinghua Hu
2023	J	`jnl`	Towards a Deeper Understanding of Global Covariance Pooling in Deep Learning: An Optimization Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Qilong Wang, Zhaolin Zhang, Mingze Gao, Jiangtao Xie, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2023	A*	`conf`	Tuning Pre-trained Model via Moment Probing. ICCV Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
2023	J	`jnl`	Tuning Pre-trained Model via Moment Probing. CoRR Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou
2023	J	`jnl`	WDAN: A Weighted Discriminative Adversarial Network With Dual Classifiers for Fine-Grained Open-Set Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Jing Li, Liu Yang, Qilong Wang, Qinghua Hu
2023	—	`conf`	Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction. CICAI (1) Yi Liu, Junwen Pan, Qilong Wang, Guanlin Chen, Weiguo Nie, Yudong Zhang, Qian Gao, Qinghua Hu, Pengfei Zhu
2022	J	`jnl`	CrabNet: Fully Task-Specific Feature Learning for One-Stage Object Detection. IEEE Trans. Image Process. Hao Wang, Qilong Wang, Hongzhi Zhang, Qinghua Hu, Wangmeng Zuo
2022	J	`jnl`	Delving Deeper Into Pixel Prior for Box-Supervised Semantic Segmentation. IEEE Trans. Image Process. Tianqi Ma, Qilong Wang, Hongzhi Zhang, Wangmeng Zuo
2022	A*	`conf`	DropCov: A Simple yet Effective Method for Improving Deep Architectures. NeurIPS Qilong Wang, Mingze Gao, Zhaolin Zhang, Jiangtao Xie, Peihua Li, Qinghua Hu
2022	A*	`conf`	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CVPR Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
2022	J	`jnl`	Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. CoRR Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li
2022	J	`jnl`	Temporal grafter network: Rethinking LSTM for effective video recognition. Neurocomputing Bingbing Zhang, Qilong Wang, Zilin Gao, Ruiren Zeng, Peihua Li
2021	J	`jnl`	ALGeNet: Adaptive Log-Euclidean Gaussian embedding network for time series forecasting. Neurocomputing Zongxia Xie, Hui Hu, Qilong Wang, Renhui Li
2021	A*	`conf`	Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. ICCV Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo
2021	J	`jnl`	Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. CoRR Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo
2021	J	`jnl`	Constrained Online Cut-Paste for Object Detection. IEEE Trans. Circuits Syst. Video Technol. Hao Wang, Qilong Wang, Hongzhi Zhang, Jian Yang, Wangmeng Zuo
2021	J	`jnl`	Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
2021	A*	`conf`	Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CVPR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2021	J	`jnl`	Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. CoRR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2021	J	`jnl`	Graph attention mechanism with global contextual information for multi-label image recognition. J. Electronic Imaging Xiaoxiao Ban, Peihua Li, Qilong Wang, Shoujun Zhou, Shijie Guo, Yuanquan Wang
2021	J	`jnl`	Multi-scale structural kernel representation for object detection. Pattern Recognit. Hao Wang, Qilong Wang, Peihua Li, Wangmeng Zuo
2021	J	`jnl`	So-ViT: Mind Visual Tokens for Vision Transformer. CoRR Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
2021	A*	`conf`	Temporal-attentive Covariance Pooling Networks for Video Recognition. NeurIPS Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2021	J	`jnl`	Temporal-attentive Covariance Pooling Networks for Video Recognition. CoRR Zilin Gao, Qilong Wang, Bingbing Zhang, Qinghua Hu, Peihua Li
2020	A*	`conf`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CVPR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	Learning second-order statistics for place recognition based on robust covariance estimation of CNN features. Neurocomputing Weiqi Zhang, Zifei Yan, Qilong Wang, Xiaohe Wu, Wangmeng Zuo
2020	J	`jnl`	Locality-constrained affine subspace coding for image classification and retrieval. Pattern Recognit. Bingbing Zhang, Qilong Wang, Xiaoxiao Lu, Fasheng Wang, Peihua Li
2020	A*	`conf`	Neural Blind Deconvolution Using Deep Priors. CVPR Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
2020	J	`jnl`	Weighted and Class-Specific Maximum Mean Discrepancy for Unsupervised Domain Adaptation. IEEE Trans. Multim. Hongliang Yan, Zhetao Li, Qilong Wang, Peihua Li, Yong Xu, Wangmeng Zuo
2020	A*	`conf`	What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective. CVPR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2020	J	`jnl`	What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective. CoRR Qilong Wang, Li Zhang, Banggu Wu, Dongwei Ren, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	J	`jnl`	Data Augmentation for Object Detection via Progressive and Selective Instance-Switching. CoRR Hao Wang, Qilong Wang, Fan Yang, Weiqi Zhang, Wangmeng Zuo
2019	J	`jnl`	Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization. CoRR Qilong Wang, Jiangtao Xie, Wangmeng Zuo, Lei Zhang, Peihua Li
2019	A*	`conf`	Deep Global Generalized Gaussian Networks. CVPR Qilong Wang, Peihua Li, Qinghua Hu, Pengfei Zhu, Wangmeng Zuo
2019	J	`jnl`	Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network. CoRR Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu
2019	J	`jnl`	ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks. CoRR Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, Qinghua Hu
2019	A*	`conf`	Global Second-Order Pooling Convolutional Networks. CVPR Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
2019	J	`jnl`	Neural Blind Deconvolution Using Deep Priors. CoRR Dongwei Ren, Kai Zhang, Qilong Wang, Qinghua Hu, Wangmeng Zuo
2019	—	`conf`	Self-Attention Relation Network for Few-Shot Learning. ICME Workshops Binyuan Hui, Pengfei Zhu, Qinghua Hu, Qilong Wang
2018	J	`jnl`	An Information Geometry-Based Distance Between High-Dimensional Covariances for Scalable Classification. IEEE Trans. Circuits Syst. Video Technol. Qilong Wang, Xiaoxiao Lu, Peihua Li, Zhenguo Gao, Yongri Piao
2018	A*	`conf`	Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning. IJCAI Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
2018	A*	`conf`	Global Gated Mixture of Second-order Pooling for Improving Deep Convolutional Neural Networks. NeurIPS Qilong Wang, Zilin Gao, Jiangtao Xie, Wangmeng Zuo, Peihua Li
2018	J	`jnl`	Global Second-order Pooling Convolutional Networks. CoRR Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
2018	J	`jnl`	Hyperlayer Bilinear Pooling with application to fine-grained categorization and image retrieval. Neurocomputing Qiule Sun, Qilong Wang, Jianxin Zhang, Peihua Li
2018	A*	`conf`	Multi-Scale Location-Aware Kernel Representation for Object Detection. CVPR Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
2018	J	`jnl`	Multi-scale Location-aware Kernel Representation for Object Detection. CoRR Hao Wang, Qilong Wang, Mingqi Gao, Peihua Li, Wangmeng Zuo
2018	J	`jnl`	Robust Covariance Representations With Large Margin Dimensionality Reduction for Visual Classification. IEEE Access Qiule Sun, Jianxin Zhang, Pengfei Zhu, Qilong Wang, Peihua Li
2018	A	`conf`	Support Vector Metric Learning on Symmetric Positive Definite Manifold. ICME Hao Cheng, Pengfei Zhu, Qilong Wang, Changqing Zhang, Qinghua Hu
2018	A*	`conf`	Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CVPR Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
2018	A*	`conf`	Towards Generalized and Efficient Metric Learning on Riemannian Manifold. IJCAI Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
2017	A*	`conf`	G2DeNet: Global Gaussian Distribution Embedding Network and Its Application to Visual Recognition. CVPR Qilong Wang, Peihua Li, Lei Zhang
2017	J	`jnl`	High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians. IEEE Trans. Image Process. Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang
2017	A*	`conf`	Is Second-Order Information Helpful for Large-Scale Visual Recognition? ICCV Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
2017	J	`jnl`	Is Second-order Information Helpful for Large-scale Visual Recognition? CoRR Peihua Li, Jiangtao Xie, Qilong Wang, Wangmeng Zuo
2017	J	`jnl`	Joint distance and similarity measure learning based on triplet-based constraints. Inf. Sci. Mu Li, Qilong Wang, David Zhang, Peihua Li, Wangmeng Zuo
2017	J	`jnl`	Local Log-Euclidean Multivariate Gaussian Descriptor and Its Application to Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Peihua Li, Qilong Wang, Hui Zeng, Lei Zhang
2017	A*	`conf`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CVPR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. CoRR Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
2017	J	`jnl`	Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao
2016	J	`jnl`	Evaluation of ground distances and features in EMD-based GMM matching for texture classification. Pattern Recognit. Hua Hao, Qilong Wang, Peihua Li, Lei Zhang
2016	A*	`conf`	RAID-G: Robust Estimation of Approximate Infinite Dimensional Gaussian with Application to Material Recognition. CVPR Qilong Wang, Peihua Li, Wangmeng Zuo, Lei Zhang
2016	J	`jnl`	Towards effective codebookless model for image classification. Pattern Recognit. Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
2015	B	`conf`	Ask the dictionary: Soft-assignment location-orientation pooling for image classification. ICIP Qilong Wang, Xiaona Deng, Peihua Li, Lei Zhang
2015	A*	`conf`	From dictionary of visual words to subspaces: Locality-constrained affine subspace coding. CVPR Peihua Li, Xiaoxiao Lu, Qilong Wang
2015	J	`jnl`	Towards Effective Codebookless Model for Image Classification. CoRR Qilong Wang, Peihua Li, Lei Zhang, Wangmeng Zuo
2014	—	`conf`	Shrinkage Expansion Adaptive Metric Learning. ECCV (7) Qilong Wang, Wangmeng Zuo, Lei Zhang, Peihua Li
2013	A*	`conf`	A Novel Earth Mover's Distance Methodology for Image Matching with Gaussian Mixture Models. ICCV Peihua Li, Qilong Wang, Lei Zhang
2013	A*	`conf`	Log-Euclidean Kernels for Sparse Representation and Dictionary Learning. ICCV Peihua Li, Qilong Wang, Wangmeng Zuo, Lei Zhang
2013	Misc	`conf`	Variational Earth Mover's Distance for Image Segmentation. ICIG Peihua Li, Qilong Wang
2012	—	`conf`	Local Log-Euclidean Covariance Matrix (L2ECM) for Image Representation and Its Applications. ECCV (3) Peihua Li, Qilong Wang
2012	—	`conf`	Robust Registration-Based Tracking by Sparse Representation with Model Update. ACCV (3) Peihua Li, Qilong Wang