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Jianghang Lin | 林将航


Media Analytics and Computing (MAC) Lab, Xiamen University, Xiamen, China.
Emails: hunterjlin007 AT gmail.com (best), hunterjlin007 AT stu.xmu.edu.cn
[Goolge Scholar]  [GitHub]  [Curriculum Vitae] (Last updated on 31 July, 2024)
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[Biography] [Publications] [Honors and Awards]

Biography   

I am currently a Ph.D student in Xiamen University, advised by Prof. Liujuan Cao and Prof. Rongrong Ji. My research interests are in Computer Vision, Multimodal and Machine Learning. Recently, I focus on: Weakly-Supervised, Semi-Supervised and Open Vocabulary Learning.

Publications   

Conference

Peng Mi*, Jianghang Lin*, Yiyi Zhou*, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji
Active Teacher for Semi-Supervised Object Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[pdf] [code] (*Equal Contribution)
Jianghang Lin, Yunhang Shen, Bingquan Wang, Shaohui Lin, Ke Li, Liujuan Cao
Active Teacher for Semi-Supervised Object Detection
The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024
[pdf] [code]
Pengfei Yue*, Jianghang Lin*, Shengchuan Zhang, Jie Hu, Yilin Lu, Hongwei Niu, Haixin Ding, Yan Zhang, Guannan Jiang, Liujuan Cao, Rongrong Ji
Adaptive Selection based Referring lmage Segmentation
Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 2024
[pdf] [code] (*Equal Contribution)
Yansong Qu*, Shaohui Dai*, Xinyang Li, Jianghang Lin, Liujuan Cao, Shengchuan Zhang, Rongrong Ji
GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane
Proceedings of the 32st ACM International Conference on Multimedia (ACM MM), 2024
[pdf] [code] (*Equal Contribution)

Preprint

Liujuan Cao, Jianghang Lin, Zebo Hong, Yunhang Shen, Shaohui Lin, Chao Chen, Rongrong Ji
HUWSOD: Holistic Self-training for Unified Weakly Supervised Object Detection
arXiv preprint arXiv:2406.19394, 2024
[arXiv] [code]
Xin Chen, Jie Hu, Xiawu Zheng, Jianghang Lin, Liujuan Cao, Rongrong Ji
Depth-Guided Semi-Supervised Instance Segmentation
arXiv preprint arXiv:2406.17413, 2024
[arXiv] [code]

Honors and Awards   


© Jianghang Lin 林将航