Jianghang Lin

According to our database, Jianghang Lin authored at least 24 papers between 2022 and 2026.

Collaborative distances:

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

2026

Active-SAOOD: Active Sparsely Annotated Oriented Object Detection in Remote Sensing Images.

Yu Lin, Jianghang Lin, Kai Ye, Shengchuan Zhang, Liujuan Cao

CoRR, May, 2026

Learning from Medical Entity Trees: An Entity-Centric Medical Data Engineering Framework for MLLMs.

Jianghang Lin, Haihua Yang, Deli Yu, Kai Wu, Kai Ye, Jinghao Lin, Zihan Wang, Yuhang Wu, Liujuan Cao

CoRR, April, 2026

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models.

Yansong Guo, Chaoyang Zhu, Jiayi Ji, Jianghang Lin, Liujuan Cao

CoRR, April, 2026

SEA-Vision: A Multilingual Benchmark for Comprehensive Document and Scene Text Understanding in Southeast Asia.

Pengfei Yue, Xingran Zhao, Juntao Chen, Peng Hou, Wang Longchao, Jianghang Lin, Shengchuan Zhang, Anxiang Zeng, Liujuan Cao

CoRR, March, 2026

Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction.

Jianghang Lin, Yilin Lu, Chaoyang Zhu, Yunhang Shen, Shengchuan Zhang, Liujuan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection.

Yu Lin, Jianghang Lin, Kai Ye, You Shen, Shengchuan Zhang, Liujuan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AnomalyPainter: Vision-Language-Diffusion Synergy for Realistic and Diverse Unseen Industrial Anomaly Synthesis.

Zhangyu Lai, Yilin Lu, Xinyang Li, Jianghang Lin, Yansong Qu, Ming Li, Liujuan Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting.

Kai Ye, Xiaotong You, Jianghang Lin, Jiayi Ji, Pingyang Dai, Liujuan Cao

CoRR, December, 2025

Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions.

Kai Ye, Bowen Liu, Jianghang Lin, Jiayi Ji, Pingyang Dai, Liujuan Cao

CoRR, October, 2025

Pseudo-Label Quality Decoupling and Correction for Semi-Supervised Instance Segmentation.

Jianghang Lin, Yilin Lu, Yunhang Shen, Chaoyang Zhu, Shengchuan Zhang, Liujuan Cao, Rongrong Ji

CoRR, May, 2025

S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection.

Yu Lin, Jianghang Lin, Kai Ye, You Shen, Yan Zhang, Shengchuan Zhang, Liujuan Cao, Rongrong Ji

CoRR, April, 2025

AnomalyPainter: Vision-Language-Diffusion Synergy for Zero-Shot Realistic and Diverse Industrial Anomaly Synthesis.

Zhangyu Lai, Yilin Lu, Xinyang Li, Jianghang Lin, Yansong Qu, Liujuan Cao, Ming Li, Rongrong Ji

CoRR, March, 2025

Referring Industrial Anomaly Segmentation.

Pengfei Yue, Xiaokang Jiang, Yilin Lu, Jianghang Lin, Shengchuan Zhang, Liujuan Cao

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Generate Aligned Anomaly: Region-Guided Few-Shot Anomaly Image-Mask Pair Synthesis for Industrial Inspection.

Yilin Lu, Jianghang Lin, Linhuang Xie, Kai Zhao, Yansong Qu, Shengchuan Zhang, Liujuan Cao, Rongrong Ji

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

What You Perceive Is What You Conceive: A Cognition-Inspired Framework for Open Vocabulary Image Segmentation.

Jianghang Lin, Yue Hu, Jiangtao Shen, Yunhang Shen, Liujuan Cao, Shengchuan Zhang, Rongrong Ji

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

U-SAM: Upgrade Segment Anything Model With Semantic-Aware and Memory-Efficient.

Xiaofeng Jin, Jie Hu, Jianghang Lin, Shengchuan Zhang, Liujuan Cao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Exploring Semantic Consistency and Style Diversity for Domain Generalized Semantic Segmentation.

Hongwei Niu, Linhuang Xie, Jianghang Lin, Shengchuan Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation.

Hongwei Niu, Jie Hu, Jianghang Lin, Guannan Jiang, Shengchuan Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection.

Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji

CoRR, 2024

Depth-Guided Semi-Supervised Instance Segmentation.

Xin Chen, Jie Hu, Xiawu Zheng, Jianghang Lin, Liujuan Cao, Rongrong Ji

CoRR, 2024

Adaptive Selection based Referring Image Segmentation.

Pengfei Yue, Jianghang Lin, Shengchuan Zhang, Jie Hu, Yilin Lu, Hongwei Niu, Haixin Ding, Yan Zhang, Guannan Jiang, Liujuan Cao, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane.

Yansong Qu, Shaohui Dai, Xinyang Li, Jianghang Lin, Liujuan Cao, Shengchuan Zhang, Rongrong Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Weakly Supervised Open-Vocabulary Object Detection.

Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao

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

2022

Active Teacher for Semi-Supervised Object Detection.

Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022