Mengcheng Lan
兰孟城

S-Lab@NTU
Singapore

Welcome to my homepage!

About Me

I am currently a PhD candidate in S-Lab@Nanyang Technological University, advised by Prof. Yiping ke, Kelly and co-advised by Dr. Wayne Zhang.

I am interested in vision-language learning, multimodal large language models. My current work mainly focuses on open-vocabulary semantic segmentation, multimodal segmentation.

Experiences

Research Associate | CIL, Nanyang Technological University, Singapore
Time: Aug 2022 - Jan 2023. Worked with Prof. Yiping ke, Kelly

Research Assistant | GAP Lab, The Chinese Uniersity of Hong Kong, Shenzhen
Time: Jul 2020 - Jul 2022. Worked with Prof. Xiaoguang Han on the topics of weather nowcasting and video prediction.

Publications [Google Scholar]

Text4Seg: Reimagining Image Segmentation as Text Generation
Proceedings of the Thirteenth International Conference on Learning Representations ICLR 2025  
Mengcheng Lan, Chaofeng Chen, Yue Zhou, Jiaxing Xu, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang.
[Paper] [Code]

ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation
Proceedings of the 18th European Conference on Computer Vision, ECCV 2024  
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang.
[Paper] [Code]

ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference
Proceedings of the 18th European Conference on Computer Vision, ECCV 2024  
Mengcheng Lan, Chaofeng Chen, Yiping Ke, Xinjiang Wang, Litong Feng, Wayne Zhang.
[Paper] [Code]

Learning to Discover Knowledge: A Weakly-Supervised Partial Domain Adaptation Approach
IEEE Transactions on Image Processing, TIP 2024  
Mengcheng Lan, Min Meng, Jun Yu, Jigang Wu.
[Paper] [Code]

SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation
Proceedings of the 37th Conference on Neural Information Processing Systems, NeurIPS 2023  
Mengcheng Lan, Xinjiang Wang, Yiping Ke, Jiaxing Xu, Litong Feng, Wayne Zhang.
[Paper] [Code]

MIMO is all you need: a strong multi-in-multi-out baseline for video prediction
Proceedings of the AAAI Conference on Artificial Intelligence, AAAI 2023  
Shuliang Ning*, Mengcheng Lan*, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui.
[Paper] [Code]

Dual-level adaptive and discriminative knowledge transfer for cross-domain recognition
IEEE Transactions on Multimedia, TMM 2022  
Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu, Ligang Liu.
[Paper] [Code]

Generalized multi-view collaborative subspace clustering
IEEE Transactions on Circuits and Systems for Video Technology, TCSVT 2021  
Mengcheng Lan, Min Meng, Jun Yu, Jigang Wu.
[Paper] [Code]

Multiview consensus structure discovery
IEEE Transactions on Cybernetics, TCYB 2020  
Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu.
[Paper] [Code]

Coupled Knowledge Transfer for Visual Data Recognition
IEEE Transactions on Circuits and Systems for Video Technology, TCSVT 2020  
Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu.
[Paper] [Code]

Constrained discriminative projection learning for image classification
IEEE Transactions on Image Processing, TIP 2019  
Min Meng, Mengcheng Lan, Jun Yu, Jigang Wu, Depeng Tao.
[Paper]

Awards

  • First Grade Scholarship, 2017-2020
  • National Scholarship, 2019
  • Outstanding Student of Guangdong Province , 2020

Services

Conference Reviewer:
  • ICLR, CVPR, ICCV, AAAI
Journal Reviewer:
  • Neurocomputing
  • Engineering Applications of Artificial Intelligence (EAAI)

Teaching

  • [2023/24 1nd semester]: SC2002/CE2002/CZ2002 Object Oriented Design & Programming ~ Teaching Assistant
  • [2023/24 2nd semester]: SC2008/CE3005/CZ3006 Computer Networks ~ Teaching Assistant