Xiankai Lu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 66

Top Topics

Object Segmentation

Supervised Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xuemei Zhang, Peng Zhao, Jinsheng Ji, Xiankai Lu, Yilong Yin
Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial Training. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Hao Fang, Peng Wu, Yawei Li, Xinxin Zhang, Xiankai Lu
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation. CoRR (2024)
Liuxin Bao, Xiaofei Zhou, Xiankai Lu, Yaoqi Sun, Haibing Yin, Zhenghui Hu, Jiyong Zhang, Chenggang Yan
Quality-aware Selective Fusion Network for V-D-T Salient Object Detection. CoRR (2024)
Tong Zhang, Xiankai Lu, Hao Zhang, Xiushan Nie, Yilong Yin, Jianbing Shen
Relational Network via Cascade CRF for Video Language Grounding. IEEE Trans. Multim. 26 (2024)
Liuxin Bao, Xiaofei Zhou, Xiankai Lu, Yaoqi Sun, Haibing Yin, Zhenghui Hu, Jiyong Zhang, Chenggang Yan
Quality-Aware Selective Fusion Network for V-D-T Salient Object Detection. IEEE Trans. Image Process. 33 (2024)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. IEEE Trans. Knowl. Data Eng. 36 (1) (2024)
Tong Zhang, Hao Fang, Hao Zhang, Jialin Gao, Xiankai Lu, Xiushan Nie, Yilong Yin
Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. IEEE Trans. Multim. 26 (2024)
Feiyu Pan, Hao Fang, Xiankai Lu
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation. CoRR (2024)
Qingfeng Guan, Hao Fang, Chenchen Han, Zhicheng Wang, Ruiheng Zhang, Yitian Zhang, Xiankai Lu
Structural Transformer with Region Strip Attention for Video Object Segmentation. Neurocomputing 596 (2024)
Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu
PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. CoRR (2024)
Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin
Missingness-Pattern-Adaptive Learning With Incomplete Data. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin
Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) (2023)
Zheyun Qin, Xiankai Lu, Dongfang Liu, Xiushan Nie, Yilong Yin, Jianbing Shen, Alexander C. Loui
Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. IEEE Trans. Image Process. 32 (2023)
Jinsheng Ji, Xiaoming Xi, Xiankai Lu, Yiyou Guo, Huan Xie
From Coarse to Fine: Knowledge Distillation for Remote Sensing Scene Classification. IGARSS (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Dongfang Liu, Yilong Yin, Wenguan Wang
Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. IEEE CAA J. Autom. Sinica 10 (5) (2023)
Jinsheng Ji, Xiankai Lu, Tao Zhang, Yiyou Guo, Huan Xie
From Coarse to Fine: Learning Semantic Relations for Hyperspectral Image Classification. IGARSS (2023)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional prototype inference for few-shot segmentation. Pattern Recognit. 142 (2023)
Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS (2023)
Peng Wu, Xiankai Lu, Jianbing Shen, Yilong Yin
Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos. ACM Multimedia (2023)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI (2023)
Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR (2022)
Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Jiebo Luo
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia (2022)
Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) (2022)
Xiankai Lu, Chao Ma, Jianbing Shen, Xiaokang Yang, Ian Reid, Ming-Hsuan Yang
Deep Object Tracking With Shrinkage Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Xiankai Lu, Wenguan Wang, Jianbing Shen, David J. Crandall, Luc Van Gool
Segmenting Objects From Relational Visual Data. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Jianbing Shen, Yuanpei Liu, Xingping Dong, Xiankai Lu, Fahad Shahbaz Khan, Steven C. H. Hoi
Distilled Siamese Networks for Visual Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Yiyou Guo, Zheyun Qin, Yikun Liu, Yongtai Yang, Xiankai Lu, Huan Xie, Xiaohua Tong
Dpnet: end-to-end Aerial Image Segmentation Via Deformable Point Network. IGARSS (2022)
Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen
CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. 127 (2022)
Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin
Learning disentangled representation for self-supervised video object segmentation. Neurocomputing 481 (2022)
Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR (2022)
Junya Teng, Xiankai Lu, Yongshun Gong, Xinfang Liu, Xiushan Nie, Yilong Yin
Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 24 (2022)
Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling
Paying Attention to Video Object Pattern Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 43 (7) (2021)
Jinsheng Ji, Yiyou Guo, Zhen Yang, Tao Zhang, Xiankai Lu
Multi-level dictionary learning for fine-grained images categorization with attention model. Neurocomputing 453 (2021)
Long Chen, Shaobo Lin, Xiankai Lu, Dongpu Cao, Hangbin Wu, Chi Guo, Chun Liu, Fei-Yue Wang
Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey. IEEE Trans. Intell. Transp. Syst. 22 (6) (2021)
Haoliang Sun, Xiankai Lu, Haochen Wang, Yilong Yin, Xiantong Zhen, Cees G. M. Snoek, Ling Shao
Attentional Prototype Inference for Few-Shot Semantic Segmentation. CoRR (2021)
Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang
Adaptive Region Proposal With Channel Regularization for Robust Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 31 (4) (2021)
Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia (2021)
Wenbin Ge, Xiankai Lu, Jianbing Shen
Video Object Segmentation Using Global and Instance Embedding Learning. CVPR (2021)
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
Learning Video Object Segmentation from Unlabeled Videos. CoRR (2020)
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao
Human-Aware Motion Deblurring. CoRR (2020)
Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
Video Object Segmentation with Episodic Graph Memory Networks. CoRR (2020)
Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi
Learning Video Object Segmentation From Unlabeled Videos. CVPR (2020)
Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks. CoRR (2020)
Huanlong Zhang, Zeng Gao, Jie Zhang, Xiankai Lu, Jian Chen, Guohao Nie, Xiaoliang Qian
Novel visual tracking approach via ant lion optimiser. IET Image Process. 14 (4) (2020)
Yiyou Guo, Jinsheng Ji, Xiankai Lu, Huan Xie, Xiaohua Tong
Geospatial Object Detection with Single Shot Anchor-Free Network. IGARSS (2020)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. CoRR (2020)
Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool
Video Object Segmentation with Episodic Graph Memory Networks. ECCV (3) (2020)
Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao
Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) (2020)
Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR (2020)
Long Chen, Qing Wang, Xiankai Lu, Dongpu Cao, Fei-Yue Wang
Learning Driving Models From Parallel End-to-End Driving Data Set. Proc. IEEE 108 (2) (2020)
Xiankai Lu, Wenguan Wang, Chao Ma, Jianbing Shen, Ling Shao, Fatih Porikli
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. CVPR (2019)
Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV (2019)
Yiyou Guo, Jinsheng Ji, Xiankai Lu, Hong Huo, Tao Fang, Deren Li
Global-Local Attention Network for Aerial Scene Classification. IEEE Access 7 (2019)
Qiankun Ye, Xiankai Lu, Hong Huo, Lihong Wan, Yiyou Guo, Tao Fang
AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images. PAKDD (3) (2019)
Xiankai Lu, Bingbing Ni, Chao Ma, Xiaokang Yang
Learning transform-aware attentive network for object tracking. Neurocomputing 349 (2019)
Xiankai Lu, Fuhui Tang, Hong Huo, Tao Fang
Learning channel-aware deep regression for object tracking. Pattern Recognit. Lett. 127 (2019)
Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao
Human-Aware Motion Deblurring. ICCV (2019)
Fuhui Tang, Xiankai Lu, Xiaoyu Zhang, Lingkun Luo, Shiqiang Hu, Huanlong Zhang
Adaptive convolutional layer selection based on historical retrospect for visual tracking. IET Comput. Vis. 13 (3) (2019)
Fuhui Tang, Xiaoyu Zhang, Xiankai Lu, Shiqiang Hu, Huanlong Zhang
Robust visual tracking based on spatial context pyramid. Multim. Tools Appl. 78 (15) (2019)
Fuhui Tang, Xiankai Lu, Xiaoyu Zhang, Shiqiang Hu, Huanlong Zhang
Deep feature tracking based on interactive multiple model. Neurocomputing 333 (2019)
Xiankai Lu, Hong Huo, Tao Fang, Huanlong Zhang
Learning Deconvolutional Network for Object Tracking. IEEE Access 6 (2018)
Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian D. Reid, Ming-Hsuan Yang
Deep Regression Tracking with Shrinkage Loss. ECCV (14) (2018)
Na Liu, Xiankai Lu, Lihong Wan, Hong Huo, Tao Fang
Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification. ISPRS Int. J. Geo Inf. 7 (3) (2018)
Xiankai Lu, Yiyou Guo, Na Liu, Lihong Wan, Tao Fang
Non-convex joint bilateral guided depth upsampling. Multim. Tools Appl. 77 (12) (2018)
Huanlong Zhang, Yanfeng Wang, Lingkun Luo, Xiankai Lu, Miaohui Zhang
SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation. Neurocomputing 249 (2017)
Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo
Efficient image categorization with sparse Fisher vector. ICASSP (2015)
Wenya Zhu, Xiankai Lu, Tao Xu, Ziyi Zhao
High Order Structure Descriptors for Scene Images. CoRR (2014)
Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo
Efficient Image Categorization with Sparse Fisher Vector. CoRR (2014)