High Order Structure Descriptors for Scene Images. - Wenya Zhu; Xiankai Lu; Tao Xu; Ziyi Zhao (CoRR, 2014)

Efficient image categorization with sparse Fisher vector. - Xiankai Lu; Zheng Fang; Tao Xu; Haiting Zhang; Hongya Tuo (ICASSP, 2015)

SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation. - Huanlong Zhang; Yanfeng Wang 002; Lingkun Luo; Xiankai Lu; Miaohui Zhang (Neurocomputing, 2017)

Deep Regression Tracking with Shrinkage Loss. - Xiankai Lu; Chao Ma 004; Bingbing Ni; Xiaokang Yang 001; Ian D. Reid 001; Ming-Hsuan Yang 001 (ECCV (14), 2018)

Learning Deconvolutional Network for Object Tracking. - Xiankai Lu; Hong Huo; Tao Fang; Huanlong Zhang (IEEE Access, 2018)

Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification. - Na Liu 007; Xiankai Lu; Lihong Wan; Hong Huo; Tao Fang (ISPRS Int. J. Geo Inf., 2018)

Non-convex joint bilateral guided depth upsampling. - Xiankai Lu; Yiyou Guo; Na Liu 007; Lihong Wan; Tao Fang (Multim. Tools Appl., 2018)

See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks. - Xiankai Lu; Wenguan Wang; Chao Ma 004; Jianbing Shen; Ling Shao 001; Fatih Porikli (CVPR, 2019)

Human-Aware Motion Deblurring. - Ziyi Shen; Wenguan Wang; Xiankai Lu; Jianbing Shen; Haibin Ling; Tingfa Xu; Ling Shao 001 (ICCV, 2019)

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks. - Wenguan Wang; Xiankai Lu; Jianbing Shen; David J. Crandall; Ling Shao 001 (ICCV, 2019)

AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images. - Qiankun Ye; Xiankai Lu; Hong Huo; Lihong Wan; Yiyou Guo; Tao Fang (PAKDD (3), 2019)

Global-Local Attention Network for Aerial Scene Classification. - Yiyou Guo; Jinsheng Ji; Xiankai Lu; Hong Huo; Tao Fang; Deren Li (IEEE Access, 2019)

Adaptive convolutional layer selection based on historical retrospect for visual tracking. - Fuhui Tang; Xiankai Lu; Xiaoyu Zhang; Lingkun Luo; Shiqiang Hu; Huanlong Zhang (IET Comput. Vis., 2019)

Learning transform-aware attentive network for object tracking. - Xiankai Lu; Bingbing Ni; Chao Ma 004; Xiaokang Yang 001 (Neurocomputing, 2019)

Deep feature tracking based on interactive multiple model. - Fuhui Tang; Xiankai Lu; Xiaoyu Zhang; Shiqiang Hu; Huanlong Zhang (Neurocomputing, 2019)

Robust visual tracking based on spatial context pyramid. - Fuhui Tang; Xiaoyu Zhang; Xiankai Lu; Shiqiang Hu; Huanlong Zhang (Multim. Tools Appl., 2019)

Learning channel-aware deep regression for object tracking. - Xiankai Lu; Fuhui Tang; Hong Huo; Tao Fang (Pattern Recognit. Lett., 2019)

Learning Video Object Segmentation From Unlabeled Videos. - Xiankai Lu; Wenguan Wang; Jianbing Shen; Yu-Wing Tai; David J. Crandall; Steven C. H. Hoi (CVPR, 2020)

Video Object Segmentation with Episodic Graph Memory Networks. - Xiankai Lu; Wenguan Wang; Martin Danelljan; Tianfei Zhou; Jianbing Shen; Luc Van Gool (ECCV (3), 2020)

Geospatial Object Detection with Single Shot Anchor-Free Network. - Yiyou Guo; Jinsheng Ji; Xiankai Lu; Huan Xie; Xiaohua Tong (IGARSS, 2020)

M2 Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (MICCAI (2), 2020)

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients. - Tao Zhou 002; Huazhu Fu; Yu Zhang 009; Changqing Zhang; Xiankai Lu; Jianbing Shen; Ling Shao 001 (CoRR, 2020)

Novel visual tracking approach via ant lion optimiser. - Huanlong Zhang; Zeng Gao; Jie Zhang 066; Xiankai Lu; Jian Chen 038; Guohao Nie; Xiaoliang Qian (IET Image Process., 2020)

Learning Driving Models From Parallel End-to-End Driving Data Set. - Long Chen 005; Qing Wang 025; Xiankai Lu; Dongpu Cao; Fei-Yue Wang 001 (Proc. IEEE, 2020)

Video Object Segmentation Using Global and Instance Embedding Learning. - Wenbin Ge; Xiankai Lu; Jianbing Shen (CVPR, 2021)

Learning Hierarchical Embedding for Video Instance Segmentation. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Xiantong Zhen; Yilong Yin (ACM Multimedia, 2021)

Attentional Prototype Inference for Few-Shot Semantic Segmentation. - Haoliang Sun; Xiankai Lu; Haochen Wang; Yilong Yin; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (CoRR, 2021)

Multi-level dictionary learning for fine-grained images categorization with attention model. - Jinsheng Ji; Yiyou Guo; Zhen Yang 012; Tao Zhang 027; Xiankai Lu (Neurocomputing, 2021)

Paying Attention to Video Object Pattern Understanding. - Wenguan Wang; Jianbing Shen; Xiankai Lu; Steven C. H. Hoi; Haibin Ling (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adaptive Region Proposal With Channel Regularization for Robust Object Tracking. - Xiankai Lu; Chao Ma 004; Bingbing Ni; Xiaokang Yang 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey. - Long Chen 005; Shaobo Lin; Xiankai Lu; Dongpu Cao; Hangbin Wu; Chi Guo; Chun Liu 003; Fei-Yue Wang 001 (IEEE Trans. Intell. Transp. Syst., 2021)

Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (CVPR, 2022)

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. - Qi Wei 004; Haoliang Sun; Xiankai Lu; Yilong Yin (ECCV (30), 2022)

Dpnet: end-to-end Aerial Image Segmentation Via Deformable Point Network. - Yiyou Guo; Zheyun Qin; Yikun Liu; Yongtai Yang; Xiankai Lu; Huan Xie; Xiaohua Tong (IGARSS, 2022)

RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (ACM Multimedia, 2022)

Learning disentangled representation for self-supervised video object segmentation. - Wenjie Hou; Zheyun Qin; Xiaoming Xi; Xiankai Lu; Yilong Yin (Neurocomputing, 2022)

Deep Object Tracking With Shrinkage Loss. - Xiankai Lu; Chao Ma 004; Jianbing Shen; Xiaokang Yang 001; Ian Reid 001; Ming-Hsuan Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Segmenting Objects From Relational Visual Data. - Xiankai Lu; Wenguan Wang; Jianbing Shen; David J. Crandall; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks. - Xiankai Lu; Wenguan Wang; Jianbing Shen; David Crandall; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Distilled Siamese Networks for Visual Tracking. - Jianbing Shen; Yuanpei Liu; Xingping Dong; Xiankai Lu; Fahad Shahbaz Khan; Steven C. H. Hoi (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

CubeNet: X-shape connection for camouflaged object detection. - Mingchen Zhuge; Xiankai Lu; Yiyou Guo; Zhihua Cai; Shuhan Chen (Pattern Recognit., 2022)

Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval. - Junya Teng; Xiankai Lu; Yongshun Gong; Xinfang Liu; Xiushan Nie; Yilong Yin (IEEE Trans. Multim., 2022)

Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Yilong Yin; Jianbing Shen (AAAI, 2023)

Video Instance Segmentation Using Graph Matching Transformer. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Yilong Yin (ICDM (Workshops), 2023)

From Coarse to Fine: Learning Semantic Relations for Hyperspectral Image Classification. - Jinsheng Ji; Xiankai Lu; Tao Zhang 027; Yiyou Guo; Huan Xie (IGARSS, 2023)

From Coarse to Fine: Knowledge Distillation for Remote Sensing Scene Classification. - Jinsheng Ji; Xiaoming Xi; Xiankai Lu; Yiyou Guo; Huan Xie (IGARSS, 2023)

Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos. - Peng Wu 014; Xiankai Lu; Jianbing Shen; Yilong Yin (ACM Multimedia, 2023)

Unified 3D Segmenter As Prototypical Classifiers. - Zheyun Qin; Cheng Han 001; Qifan Wang 001; Xiushan Nie; Yilong Yin; Xiankai Lu (NeurIPS, 2023)

Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning. - Zheyun Qin; Xiankai Lu; Dongfang Liu; Xiushan Nie; Yilong Yin; Jianbing Shen; Alexander C. Loui (IEEE Trans. Image Process., 2023)

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows. - Zheyun Qin; Xiankai Lu; Xiushan Nie; Dongfang Liu; Yilong Yin; Wenguan Wang (IEEE CAA J. Autom. Sinica, 2023)

Missingness-Pattern-Adaptive Learning With Incomplete Data. - Yongshun Gong; Zhibin Li 002; Wei Liu 007; Xiankai Lu; Xinwang Liu 002; Ivor W. Tsang; Yilong Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Attentional prototype inference for few-shot segmentation. - Haoliang Sun; Xiankai Lu; Haochen Wang; Yilong Yin; Xiantong Zhen; Cees G. M. Snoek; Ling Shao 001 (Pattern Recognit., 2023)

LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation. - Henghui Ding; Lingyi Hong; Chang Liu 072; Ning Xu; Linjie Yang; Yuchen Fan; Deshui Miao; Yameng Gu; Xin Li 034; Zhenyu He 001; Yaowei Wang 001; Ming-Hsuan Yang 001; et al. (ECCV Workshops (10), 2024)

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results. - Henghui Ding; Chang Liu 072; Yunchao Wei; Nikhila Ravi; Shuting He; Song Bai 001; Philip Torr 001; Deshui Miao; Xin Li 034; Zhenyu He 001; Yaowei Wang 001; Ming-Hsuan Yang 001; et al. (ECCV Workshops (10), 2024)

Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation. - Hao Fang 010; Peng Wu 014; Yawei Li 001; Xinxin Zhang 004; Xiankai Lu (ECCV (70), 2024)

AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. - Andrey Moskalenko; Alexey Bryncev; Dmitry S. Vatolin; Radu Timofte; Gen Zhan; Li Yang; Yunlong Tang 002; Yiting Liao; Jiongzhi Lin; Baitao Huang; Morteza Moradi 001; Mohammad Moradi 001; et al. (ECCV Workshops (10), 2024)

Two-phase Parametric Registration for Retinal Images. - Xinxin Zhang 004; Xiankai Lu; Jizhou Li; Yongshun Gong; Qiangchang Wang; Yilong Yin (ICME, 2024)

A Review of Human Mesh Reconstruction: Beyond 2D Video Object Segmentation. - Peng Wu 014; Zhicheng Wang; Feiyu Pan; Fangkai Li; Hao Hu; Xiankai Lu; Yiyou Guo (ICSR + InnoBiz, 2024)

3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation. - Feiyu Pan; Hao Fang 010; Xiankai Lu (CoRR, 2024)

Video Object Segmentation via SAM 2: The 4th Solution for LSVOS Challenge VOS Track. - Feiyu Pan; Hao Fang 010; Runmin Cong; Wei Zhang 021; Xiankai Lu (CoRR, 2024)

UNINEXT-Cutie: The 1st Solution for LSVOS Challenge RVOS Track. - Hao Fang 010; Feiyu Pan; Xiankai Lu; Wei Zhang 021; Runmin Cong (CoRR, 2024)

Structural Transformer with Region Strip Attention for Video Object Segmentation. - Qingfeng Guan 002; Hao Fang 010; Chenchen Han; Zhicheng Wang; Ruiheng Zhang 001; Yitian Zhang; Xiankai Lu (Neurocomputing, 2024)

Quality-Aware Selective Fusion Network for V-D-T Salient Object Detection. - Liuxin Bao; Xiaofei Zhou; Xiankai Lu; Yaoqi Sun; Haibing Yin; Zhenghui Hu; Jiyong Zhang; Chenggang Yan 001 (IEEE Trans. Image Process., 2024)

Learning Feature Semantic Matching for Spatio-Temporal Video Grounding. - Tong Zhang; Hao Fang 010; Hao Zhang 048; Jialin Gao; Xiankai Lu; Xiushan Nie; Yilong Yin (IEEE Trans. Multim., 2024)

Relational Network via Cascade CRF for Video Language Grounding. - Tong Zhang; Xiankai Lu; Hao Zhang 048; Xiushan Nie; Yilong Yin; Jianbing Shen (IEEE Trans. Multim., 2024)

SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data. - Rundong He; Zhongyi Han; Xiankai Lu; Yilong Yin (IEEE Trans. Knowl. Data Eng., 2024)

Video Corpus Moment Retrieval via Deformable Multigranularity Feature Fusion and Adversarial Training. - Xuemei Zhang; Peng Zhao 016; Jinsheng Ji; Xiankai Lu; Yilong Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Decoupled Motion Expression Video Segmentation. - Hao Fang 010; Runmin Cong; Xiankai Lu; Xiaofei Zhou; Sam Kwong; Wei Zhang 021 (CVPR, 2025)

Semantic and Sequential Alignment for Referring Video Object Segmentation. - Feiyu Pan; Hao Fang 010; Fangkai Li; Yanyu Xu; Yawei Li 001; Luca Benini; Xiankai Lu (CVPR, 2025)

LOGICZSL: Exploring Logic-induced Representation for Compositional Zero-shot Learning. - Peng Wu 014; Xiankai Lu; Hao Hu; Yongqin Xian; Jianbing Shen; Wenguan Wang (CVPR, 2025)

Cross-graph meta matching correction for noisy graph matching. - Fangkai Li; Feiyu Pan; Wenjia Meng; Haoliang Sun; Xiushan Nie; Yilong Yin; Xiankai Lu (Comput. Vis. Image Underst., 2025)

A contrast-invariant feature extraction framework for single-domain generalization in infrared small target detection. - Weijian Chi; Jiahang Liu; Xiankai Lu; Yue Ni; Xiaozhen Wang (Knowl. Based Syst., 2025)

Remote Sensing Scene Classification via Pseudo-Category-Relationand Orthogonal Feature Learning. - Jinsheng Ji; Xiankai Lu; Tao Zhang 027; Yiyou Guo; Gongping Yang (IEEE Trans. Geosci. Remote. Sens., 2025)

Detail-Aware Network for Infrared Image Enhancement. - Ruiheng Zhang 001; Guanyu Liu; Qi Zhang 004; Xiankai Lu; Renwei Dian; Yang Yang 074; Lixin Xu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

FasterSal: Robust and Real-Time Single-Stream Architecture for RGB-D Salient Object Detection. - Jing Zhang 037; Ruiheng Zhang 001; Lixin Xu 001; Xiankai Lu; Yushu Yu; Min Xu 001; He Zhao 002 (IEEE Trans. Multim., 2025)

The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation. - Hao Fang 010; Runmin Cong; Xiankai Lu; Zhiyang Chen; Wei Zhang 021 (CoRR, 2025)

PVUW 2025 Challenge Report: Advances in Pixel-level Understanding of Complex Videos in the Wild. - Henghui Ding; Chang Liu 072; Nikhila Ravi; Shuting He; Yunchao Wei; Song Bai 001; Philip Torr 001; Kehuan Song; Xinglin Xie; Kexin Zhang; Licheng Jiao; Lingling Li; et al. (CoRR, 2025)

A Conditional Probability Framework for Compositional Zero-shot Learning. - Peng Wu 014; Qiuxia Lai; Hao Fang 010; Guo-Sen Xie; Yilong Yin; Xiankai Lu; Wenguan Wang (CoRR, 2025)