School of Computer Science
Fudan University, Shanghai, China
Email: lcmeng20 [AT] fudan [dot] edu [dot] cn
I am a fourth year Ph.D student in the School of Computer Science at Fudan University,
supervised by Prof. Zuxuan Wu and Prof. Yu-Gang Jiang.
Before that, I received my Bachelor's degree of Computer Science at Tongji University in 2020.
I am interested in computer vision and deep learning. My current research focuses on large multimodal models (LMMs). My previous research focuses on detection and segmentation.
google scholar for full list of publications
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs.
pdf
In Submission
Lingchen Meng*, Jianwei Yang*, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang
To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning.
pdf
Tech Report
Junke Wang*, Lingchen Meng*, Zejia Weng, Bo He, Zuxuan Wu, Yu-Gang Jiang
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation.
pdf
European Conference on Computer Vision (ECCV), MiCo Milano, Italy, Sep, 2024
Lingchen Meng, Shiyi Lan, Hengduo Li, Jose M Alvarez, Zuxuan Wu, Yu-Gang Jiang
Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.
pdf
Conference on Neural Information Processing Systems (NeurIPS), New Orleans, USA, November, 2023
Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.
pdf
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June, 2023
Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.
pdf
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, June, 2022
Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim
Reviewer for AAAI 2023, CVPR 2023-2024, NeurIPS 2023-2024, ICCV 2023, ECCV 2024.
CVPR-24 V3Det Challenge: the 1st place in OVD track, the 2nd place in Supervised track. 2024.
Outstanding graduates in Tongji (undergrads). 2020.