Mengcheng Lan
兰孟城

S-Lab@NTU
Singapore

Welcome to my homepage!

About Me

I am currently a PhD student 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
Under review  
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:
  • AAAI 2024
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