Jiangtao Xie - RankMe

27 papers A* 10Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Task-Specific Distance Correlation Matching for Few-Shot Action Recognition. AAAI Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li
2025	A*	`conf`	Asymmetric Factorized Bilinear Operation for Vision Transformer. ICLR Junjie Wu, Qilong Wang, Jiangtao Xie, Pengfei Zhu, Qinghua Hu
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	A*	`conf`	TC-LLaVA: Rethinking the Transfer of LLava from Image to Video Understanding with Temporal Considerations. AAAI Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Kevin Zhao, Xi Chen, Hui Xiong
2025	J	`jnl`	Task-Specific Distance Correlation Matching for Few-Shot Action Recognition. CoRR Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li
2024	J	`jnl`	TC-LLaVA: Rethinking the Transfer from Image to Video Understanding with Temporal Considerations. CoRR Mingze Gao, Jingyu Liu, Mingda Li, Jiangtao Xie, Qingbin Liu, Bo Zhao, Xi Chen, Hui Xiong
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
2022	J	`jnl`	Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. IEEE Trans. Neural Networks Learn. Syst. Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang
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
2021	J	`jnl`	3rd Place Solution for Short-video Face Parsing Challenge. CoRR Xiao Liu, Xiaofei Si, Jiangtao Xie
2021	A*	`conf`	Binocular Mutual Learning for Improving Few-shot Classification. ICCV Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang
2021	J	`jnl`	Binocular Mutual Learning for Improving Few-shot Classification. CoRR Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang
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	J	`jnl`	So-ViT: Mind Visual Tokens for Vision Transformer. CoRR Jiangtao Xie, Ruiren Zeng, Qilong Wang, Ziqi Zhou, Peihua Li
2021	J	`jnl`	Three-stage super-efficiency DEA models based on the cooperative game and its application on the R&D green innovation of the Chinese high-tech industry. Comput. Ind. Eng. Xiaoqing Chen, Xinwang Liu, Zaiwu Gong, Jiangtao Xie
2019	J	`jnl`	As-Built BIM for a Fifteenth-Century Chinese Brick Structure at Various LoDs. ISPRS Int. J. Geo Inf. Zheng Sun, Jiangtao Xie, Yingying Zhang, Yongkang Cao
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`	Global Second-Order Pooling Convolutional Networks. CVPR Zilin Gao, Jiangtao Xie, Qilong Wang, Peihua Li
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	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
2017	—	`conf`	Deep Convolutional Features for Iris Recognition. CCBR Xingqiang Tang, Jiangtao Xie, Peihua Li
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`	Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization. CoRR Peihua Li, Jiangtao Xie, Qilong Wang, Zilin Gao