Jinxiang Lai

According to our database, Jinxiang Lai authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

Dr.V : A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-Grained Spatial-Temporal Grounding.

Meng Luo, Shengqiong Wu, Liqiang Jing, Tianjie Ju, Li Zheng, Jinxiang Lai, Tianlong Wu, Xinya Du, Jian Li, Siyuan Yan, Jiebo Luo, William Yang Wang, Hao Fei, Mong-Li Lee, Wynne Hsu

Int. J. Comput. Vis., June, 2026

WorldCraft: From Camera Navigation to Object Manipulation in Interactive Video World Models.

Bohai Gu, Taiyi Wu, Yueyang Yuan, Jian Liu, Xiaocheng Lu, Dazhao Du, Jie Zhang, Jinxiang Lai, Shuai Yang, Xiaotong Zhao, Alan Zhao, Song Guo

CoRR, May, 2026

What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity.

Haoxi Li, Qinglin Hou, Jianfei Ma, Jinxiang Lai, Tao Han, Sikai Bai, Jingcai Guo, Jie Zhang, Song Guo

CoRR, May, 2026

GMamba: Focused and Flexible Visual Perception via Adaptive Integration of State Space Models and Graph Neural Networks.

Chaojie Chen, Xingcai Wu, Jinxiang Lai, Ran Yi, Minjing Yu, Yongbin Qin, Yongjin Liu, Qi Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic Model.

Jinxiang Lai, Wenzhe Zhao, Zexin Lu, Hualei Zhang, Qinyu Yang, Rongwei Quan, Zhimin Li, Shuai Shao, Song Guo, Qinglin Lu

CoRR, March, 2026

VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and Creation.

Jinxiang Lai, Zexin Lu, Jiajun He, Rongwei Quan, Wenzhe Zhao, Qinyu Yang, Qi Chen, Qin Lin, Chuyue Li, Tao Gao, Yuhao Shan, Shuai Shao, Song Guo, Qinglin Lu

CoRR, March, 2026

2025

Efficient multimodal large language models: a survey.

Yizhang Jin, Jian Li, Tianjun Gu, Yexin Liu, Bo Zhao, Jinxiang Lai, Zhenye Gan, Yabiao Wang, Chengjie Wang, Xin Tan, Lizhuang Ma

Vis. Intell., 2025

MDFAC: multi-dimensional feature adaptive calibration for generalized few-shot object detection.

Kailin Xie, Jinxiang Lai, Zijian She, Liang Lei, Han Chen

Complex Intell. Syst., 2025

BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation.

Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models.

Chuan He, Zhuozhao Li, Song Guo, Xiaocheng Lu, Jinxiang Lai

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Spider: Any-to-Many Multimodal LLM.

Jinxiang Lai, Jie Zhang, Jun Liu, Jian Li, Xiaocheng Lu, Song Guo

CoRR, 2024

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.

Jiawei Zhan, Jinxiang Lai, Bin-Bin Gao, Jun Liu, Xiaochen Chen, Chengjie Wang

CoRR, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.

Jinxiang Lai, Wenlong Wu, Bin-Bin Gao, Jun Liu, Jiawei Zhan, Congchong Nie, Yi Zeng, Chengjie Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Clustered-patch Element Connection for Few-shot Learning.

Jinxiang Lai, Siqian Yang, Junhong Zhou, Wenlong Wu, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Wu, Tao Wu, Guannan Jiang, Xi Wang, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

nVFNet-RDC: Replay and Non-Local Distillation Collaboration for Continual Object Detection.

Jinxiang Lai, Wenlong Liu, Jun Liu

CoRR, 2022

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.

Bin-Bin Gao, Xiaochen Chen, Zhongyi Huang, Congchong Nie, Jun Liu, Jinxiang Lai, Guannan Jiang, Xi Wang, Chengjie Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.

Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei Zhang, Yuan Xie, Chengjie Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.

Jinxiang Lai, Siqian Yang, Wenlong Liu, Yi Zeng, Zhongyi Huang, Wenlong Wu, Jun Liu, Bin-Bin Gao, Chengjie Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Fast and robust template matching with majority neighbour similarity and annulus projection transformation.

Jinxiang Lai, Liang Lei, Kaiyuan Deng, Runming Yan, Yang Ruan, Jinyun Zhou

Pattern Recognit., 2020

2019

Improving cross-dimensional weighting pooling with multi-scale feature fusion for image retrieval.

Qi Wang, Jinxiang Lai, Zhenguo Yang, Kai Xu, Peipei Kang, Wenyin Liu, Liang Lei

Neurocomputing, 2019