default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXiankai Lu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j33]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: 128076 (2024)- [j32]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): 6686-6698 (2024) - [j31]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: 3212-3226 (2024) - [j30]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): 318-334 (2024) - [j29]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: 8297-8311 (2024) - [j28]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: 9268-9279 (2024) - [c23]Xinxin Zhang, Xiankai Lu, Jizhou Li, Yongshun Gong, Qiangchang Wang, Yilong Yin:
Two-phase Parametric Registration for Retinal Images. ICME 2024: 1-6 - [i18]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 abs/2405.07655 (2024) - [i17]Feiyu Pan, Hao Fang, Xiankai Lu:
3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation. CoRR abs/2406.04842 (2024) - [i16]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 abs/2406.17005 (2024) - [i15]Hao Fang, Peng Wu, Yawei Li, Xinxin Zhang, Xiankai Lu:
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation. CoRR abs/2407.07427 (2024) - [i14]Feiyu Pan, Hao Fang, Runmin Cong, Wei Zhang, Xiankai Lu:
Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track. CoRR abs/2408.10125 (2024) - [i13]Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong:
UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track. CoRR abs/2408.10129 (2024) - [i12]Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, LingLing Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu:
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation. CoRR abs/2409.05847 (2024) - [i11]Andrey Moskalenko, Alexey Bryncev, Dmitriy S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR abs/2409.14827 (2024) - 2023
- [j27]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): 1192-1208 (2023) - [j26]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): 11053-11066 (2023) - [j25]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: 109726 (2023) - [j24]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: 6543-6557 (2023) - [c22]Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen:
Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. AAAI 2023: 2110-2118 - [c21]Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin:
Video Instance Segmentation Using Graph Matching Transformer. ICDM (Workshops) 2023: 995-1004 - [c20]Jinsheng Ji, Xiaoming Xi, Xiankai Lu, Yiyou Guo, Huan Xie:
From Coarse to Fine: Knowledge Distillation for Remote Sensing Scene Classification. IGARSS 2023: 5427-5430 - [c19]Jinsheng Ji, Xiankai Lu, Tao Zhang, Yiyou Guo, Huan Xie:
From Coarse to Fine: Learning Semantic Relations for Hyperspectral Image Classification. IGARSS 2023: 7653-7656 - [c18]Peng Wu, Xiankai Lu, Jianbing Shen, Yilong Yin:
Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos. ACM Multimedia 2023: 105-115 - [c17]Zheyun Qin, Cheng Han, Qifan Wang, Xiushan Nie, Yilong Yin, Xiankai Lu:
Unified 3D Segmenter As Prototypical Classifiers. NeurIPS 2023 - 2022
- [j23]Wenjie Hou, Zheyun Qin, Xiaoming Xi, Xiankai Lu, Yilong Yin:
Learning disentangled representation for self-supervised video object segmentation. Neurocomputing 481: 270-280 (2022) - [j22]Xiankai Lu, Wenguan Wang, Jianbing Shen, David Crandall, Jiebo Luo:
Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2228-2242 (2022) - [j21]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): 2386-2401 (2022) - [j20]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): 7885-7897 (2022) - [j19]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): 8896-8909 (2022) - [j18]Mingchen Zhuge, Xiankai Lu, Yiyou Guo, Zhihua Cai, Shuhan Chen:
CubeNet: X-shape connection for camouflaged object detection. Pattern Recognit. 127: 108644 (2022) - [j17]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: 1141-1151 (2022) - [c16]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. CVPR 2022: 14565-14574 - [c15]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. ECCV (30) 2022: 516-532 - [c14]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: 3484-3487 - [c13]Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin:
RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. ACM Multimedia 2022: 4242-4251 - [i10]Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin:
Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. CoRR abs/2208.11351 (2022) - 2021
- [j16]Jinsheng Ji, Yiyou Guo, Zhen Yang, Tao Zhang, Xiankai Lu:
Multi-level dictionary learning for fine-grained images categorization with attention model. Neurocomputing 453: 403-412 (2021) - [j15]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): 2413-2428 (2021) - [j14]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): 1268-1282 (2021) - [j13]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): 3234-3246 (2021) - [c12]Wenbin Ge, Xiankai Lu, Jianbing Shen:
Video Object Segmentation Using Global and Instance Embedding Learning. CVPR 2021: 16836-16845 - [c11]Zheyun Qin, Xiankai Lu, Xiushan Nie, Xiantong Zhen, Yilong Yin:
Learning Hierarchical Embedding for Video Instance Segmentation. ACM Multimedia 2021: 1884-1892 - [i9]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 abs/2105.06668 (2021) - 2020
- [j12]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): 727-735 (2020) - [j11]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): 262-273 (2020) - [c10]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: 8957-8967 - [c9]Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. ECCV (3) 2020: 661-679 - [c8]Yiyou Guo, Jinsheng Ji, Xiankai Lu, Huan Xie, Xiaohua Tong:
Geospatial Object Detection with Single Shot Anchor-Free Network. IGARSS 2020: 280-283 - [c7]Tao Zhou, Huazhu Fu, Yu Zhang, Changqing Zhang, Xiankai Lu, Jianbing Shen, Ling Shao:
M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. MICCAI (2) 2020: 221-231 - [i8]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. CoRR abs/2001.06807 (2020) - [i7]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 abs/2001.06810 (2020) - [i6]Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. CoRR abs/2001.06816 (2020) - [i5]Xiankai Lu, Wenguan Wang, Jianbing Shen, Yu-Wing Tai, David J. Crandall, Steven C. H. Hoi:
Learning Video Object Segmentation from Unlabeled Videos. CoRR abs/2003.05020 (2020) - [i4]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 abs/2006.10135 (2020) - [i3]Xiankai Lu, Wenguan Wang, Martin Danelljan, Tianfei Zhou, Jianbing Shen, Luc Van Gool:
Video Object Segmentation with Episodic Graph Memory Networks. CoRR abs/2007.07020 (2020)
2010 – 2019
- 2019
- [j10]Yiyou Guo, Jinsheng Ji, Xiankai Lu, Hong Huo, Tao Fang, Deren Li:
Global-Local Attention Network for Aerial Scene Classification. IEEE Access 7: 67200-67212 (2019) - [j9]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): 345-353 (2019) - [j8]Fuhui Tang, Xiankai Lu, Xiaoyu Zhang, Shiqiang Hu, Huanlong Zhang:
Deep feature tracking based on interactive multiple model. Neurocomputing 333: 29-40 (2019) - [j7]Xiankai Lu, Bingbing Ni, Chao Ma, Xiaokang Yang:
Learning transform-aware attentive network for object tracking. Neurocomputing 349: 133-144 (2019) - [j6]Fuhui Tang, Xiaoyu Zhang, Xiankai Lu, Shiqiang Hu, Huanlong Zhang:
Robust visual tracking based on spatial context pyramid. Multim. Tools Appl. 78(15): 21065-21084 (2019) - [j5]Xiankai Lu, Fuhui Tang, Hong Huo, Tao Fang:
Learning channel-aware deep regression for object tracking. Pattern Recognit. Lett. 127: 103-109 (2019) - [c6]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: 3623-3632 - [c5]Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling, Tingfa Xu, Ling Shao:
Human-Aware Motion Deblurring. ICCV 2019: 5571-5580 - [c4]Wenguan Wang, Xiankai Lu, Jianbing Shen, David J. Crandall, Ling Shao:
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. ICCV 2019: 9235-9244 - [c3]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: 375-386 - 2018
- [j4]Xiankai Lu, Hong Huo, Tao Fang, Huanlong Zhang:
Learning Deconvolutional Network for Object Tracking. IEEE Access 6: 18032-18041 (2018) - [j3]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): 95 (2018) - [j2]Xiankai Lu, Yiyou Guo, Na Liu, Lihong Wan, Tao Fang:
Non-convex joint bilateral guided depth upsampling. Multim. Tools Appl. 77(12): 15521-15544 (2018) - [c2]Xiankai Lu, Chao Ma, Bingbing Ni, Xiaokang Yang, Ian D. Reid, Ming-Hsuan Yang:
Deep Regression Tracking with Shrinkage Loss. ECCV (14) 2018: 369-386 - 2017
- [j1]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: 253-265 (2017) - 2015
- [c1]Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo:
Efficient image categorization with sparse Fisher vector. ICASSP 2015: 1498-1502 - 2014
- [i2]Xiankai Lu, Zheng Fang, Tao Xu, Haiting Zhang, Hongya Tuo:
Efficient Image Categorization with Sparse Fisher Vector. CoRR abs/1410.3905 (2014) - [i1]Wenya Zhu, Xiankai Lu, Tao Xu, Ziyi Zhao:
High Order Structure Descriptors for Scene Images. CoRR abs/1410.3910 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:23 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
