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)

Image fusion method based on simultaneous sparse representation with non-subsampled contourlet transform. - Guiqing He; Siyuan Xing; Xingjian He; Jun Wang 078; Jianping Fan 001 (IET Comput. Vis., 2019)

Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning. - Longteng Guo; Jing Liu 001; Xinxin Zhu; Xingjian He; Jie Jiang 016; Hanqing Lu (IJCAI, 2020)

Consistent-Separable Feature Representation for Semantic Segmentation. - Xingjian He; Jing Liu 001; Jun Fu 005; Xinxin Zhu; Jinqiao Wang; Hanqing Lu (AAAI, 2021)

Dynamic Warping Network for Semantic Video Segmentation. - Jiangyun Li; Yikai Zhao; Xingjian He; Xinxin Zhu; Jing Liu 001 (Complex., 2021)

Global-Local Propagation Network for RGB-D Semantic Segmentation. - Sihan Chen; Xinxin Zhu; Wei Liu; Xingjian He; Jing Liu 001 (CoRR, 2021)

Exploiting Spatial-Temporal Semantic Consistency for Video Scene Parsing. - Xingjian He; Weining Wang; Zhiyong Xu; Hao Wang; Jie Jiang 016; Jing Liu 001 (CoRR, 2021)

MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning. - Zijia Zhao; Longteng Guo; Xingjian He; Shuai Shao 005; Zehuan Yuan; Jing Liu 001 (CoRR, 2022)

An Efficient Sampling-Based Attention Network for Semantic Segmentation. - Xingjian He; Jing Liu 001; Weining Wang; Hanqing Lu (IEEE Trans. Image Process., 2022)

WL-MSR: Watch and Listen for Multimodal Subtitle Recognition. - Jiawei Liu; Hao Wang; Weining Wang; Xingjian He; Jing Liu 001 (ICASSP, 2023)

CSDNet: Contrastive Similarity Distillation Network for Multi-lingual Image-Text Retrieval. - Shichen Lu; Longteng Guo; Xingjian He; Xinxin Zhu; Jing Liu 001; Si Liu 001 (ICIG (3), 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 001 (ACM Multimedia, 2023)

MAMO: Fine-Grained Vision-Language Representations Learning with Masked Multimodal Modeling. - Zijia Zhao; Longteng Guo; Xingjian He; Shuai Shao 005; Zehuan Yuan; Jing Liu 001 (SIGIR, 2023)

VALOR: Vision-Audio-Language Omni-Perception Pretraining Model and Dataset. - Sihan Chen; Xingjian He; Longteng Guo; Xinxin Zhu; Weining Wang; Jinhui Tang 001; Jing Liu 001 (CoRR, 2023)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Jing Liu 001; Xingjian He; Yisi Zhang; Chen Chen 001; Jiachen Shen; Yan Zhang; Jiangyun Li (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 001; Jing Liu 001; Jiashi Feng (CoRR, 2023)

MMNet: Multi-Mask Network for Referring Image Segmentation. - Yichen Yan; Xingjian He; Wenxuan Wang 002; Jing Liu 001 (CoRR, 2023)

EAVL: Explicitly Align Vision and Language for Referring Image Segmentation. - Yichen Yan; Xingjian He; Wenxuan Wang 002; Sihan Chen; Jing Liu 001 (CoRR, 2023)

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation. - Wenxuan Wang 002; Tongtian Yue; Yisi Zhang; Longteng Guo; Xingjian He; Xinlong Wang; Jing Liu 001 (CoRR, 2023)

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 (ACL (Findings), 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 (CVPR, 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 001; Yisheng Lv; Jing Liu 001 (CVPR, 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 001 (ICIC (11), 2024)

COSA: Concatenated Sample Pretrained Vision-Language Foundation Model. - Sihan Chen; Xingjian He; Handong Li; Xiaojie Jin; Jiashi Feng; Jing Liu 001 (ICLR, 2024)

Calibration & Reconstruction: Deeply Integrated Language for Referring Image Segmentation. - Yichen Yan; Xingjian He; Sihan Chen; Jing Liu 001 (ICMR, 2024)

Beyond Literal Descriptions: Understanding and Locating Open-World Objects Aligned with Human Intentions. - Wenxuan Wang 002; Yisi Zhang; Xingjian He; Yichen Yan; Zijia Zhao; Xinlong Wang; Jing Liu 001 (CoRR, 2024)

Calibration & Reconstruction: Deep Integrated Language for Referring Image Segmentation. - Yichen Yan; Xingjian He; Sihan Chen; Jing Liu 001 (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 001 (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 001 (CoRR, 2024)

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

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. (CoRR, 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)

CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation. - Wenxuan Wang 002; Xingjian He; Yisi Zhang; Longteng Guo; Jiachen Shen; Jiangyun Li; Jing Liu 001 (IEEE Trans. Multim., 2024)