Xingjian He

According to our database, Xingjian He authored at least 34 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset.

Jing Liu, Sihan Chen, Xingjian He, Longteng Guo, Xinxin Zhu, Weining Wang, Jinhui Tang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

2024

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation.

Wenxuan Wang, Xingjian He, Yisi Zhang, Longteng Guo, Jiachen Shen, Jiangyun Li, Jing Liu

IEEE Trans. Multim., 2024

MiniVLN: Efficient Vision-and-Language Navigation by Progressive Knowledge Distillation.

Junyou Zhu, Yanyuan Qiao, Siqi Zhang, Xingjian He, Qi Wu, Jing Liu

CoRR, 2024

LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.

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

CoRR, 2024

The Instance-centric Transformer for the RVOS Track of LSVOS Challenge: 3rd Place Solution.

Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu

CoRR, 2024

PVUW 2024 Challenge on Complex Video Understanding: Methods and Results.

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

CoRR, 2024

2nd Place Solution for MeViS Track in CVPR 2024 PVUW Workshop: Motion Expression guided Video Segmentation.

Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu

CoRR, 2024

Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation.

Yichen Yan, Xingjian He, Sihan Chen, Shichen Lu, Jing Liu

CoRR, 2024

Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation.

Yichen Yan, Xingjian He, Sihan Chen, Jing Liu

CoRR, 2024

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions.

Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao, Xinlong Wang, Jing Liu

CoRR, 2024

Calibration & Reconstruction: Deeply Integrated Language for Referring Image Segmentation.

Yichen Yan, Xingjian He, Sihan Chen, Jing Liu

Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

COSA: Concatenated Sample Pretrained Vision-Language Foundation Model.

Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fuse and Calibrate: A Bi-directional Vision-Language Guided Framework for Referring Image Segmentation.

Yichen Yan, Xingjian He, Sihan Chen, Shichen Lu, Jing Liu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

SC- Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models.

Tongtian Yue, Jie Cheng, Longteng Guo, Xingyuan Dai, Zijia Zhao, Xingjian He, Gang Xiong, Yisheng Lv, Jing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation.

Wenxuan Wang, Tongtian Yue, Yisi Zhang, Longteng Guo, Xingjian He, Xinlong Wang, Jing Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions.

Wenxuan Wang, Yisi Zhang, Xingjian He, Yichen Yan, Zijia Zhao, Xinlong Wang, Jing Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation.

Wenxuan Wang, Tongtian Yue, Yisi Zhang, Longteng Guo, Xingjian He, Xinlong Wang, Jing Liu

CoRR, 2023

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation.

Yichen Yan, Xingjian He, Wenxuan Wang, Sihan Chen, Jing Liu

CoRR, 2023

MMNet: Multi-Mask Network for Referring Image Segmentation.

Yichen Yan, Xingjian He, Wenxuan Wang, Jing Liu

CoRR, 2023

VLAB: Enhancing Video Language Pre-training by Feature Adapting and Blending.

Xingjian He, Sihan Chen, Fan Ma, Zhicheng Huang, Xiaojie Jin, Zikang Liu, Dongmei Fu, Yi Yang, Jing Liu, Jiashi Feng

CoRR, 2023

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation.

Wenxuan Wang, Jing Liu, Xingjian He, Yisi Zhang, Chen Chen, Jiachen Shen, Yan Zhang, Jiangyun Li

CoRR, 2023

MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling.

Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense Captioner.

Zikang Liu, Sihan Chen, Longteng Guo, Handong Li, Xingjian He, Jing Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CSDNet: Contrastive Similarity Distillation Network for Multi-lingual Image-Text Retrieval.

Shichen Lu, Longteng Guo, Xingjian He, Xinxin Zhu, Jing Liu, Si Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

WL-MSR: Watch and Listen for Multimodal Subtitle Recognition.

Jiawei Liu, Hao Wang, Weining Wang, Xingjian He, Jing Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

An Efficient Sampling-Based Attention Network for Semantic Segmentation.

Xingjian He, Jing Liu, Weining Wang, Hanqing Lu

IEEE Trans. Image Process., 2022

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning.

Zijia Zhao, Longteng Guo, Xingjian He, Shuai Shao, Zehuan Yuan, Jing Liu

CoRR, 2022

2021

Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing.

Xingjian He, Weining Wang, Zhiyong Xu, Hao Wang, Jie Jiang, Jing Liu

CoRR, 2021

Global-Local Propagation Network for RGB-D Semantic Segmentation.

Sihan Chen, Xinxin Zhu, Wei Liu, Xingjian He, Jing Liu

CoRR, 2021

Dynamic Warping Network for Semantic Video Segmentation.

Jiangyun Li, Yikai Zhao, Xingjian He, Xinxin Zhu, Jing Liu

Complex., 2021

Consistent-Separable Feature Representation for Semantic Segmentation.

Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning.

Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Image fusion method based on simultaneous sparse representation with non-subsampled contourlet transform.

Guiqing He, Siyuan Xing, Xingjian He, Jun Wang, Jianping Fan

IET Comput. Vis., 2019

2017

Validation of the merged co-variation signal in interacting protein pairs by mirror-dendrogram.

Xiaowei Song, Xingjian He, Yajun Wang, Yezhong Tang

Int. J. Data Min. Bioinform., 2017