Lingchen Meng

According to our database, Lingchen Meng authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

CoMP: Continual Multimodal Pre-training for Vision Foundation Models.

Yitong Chen, Lingchen Meng, Wujian Peng, Zuxuan Wu, Yu-Gang Jiang

CoRR, March, 2025

Bootstrap-Based Multitask Deep Learning Method for Uncertainty Estimation and Correction in TSOM.

Haojing Wang, Lingchen Meng, Yufu Qu

IEEE Trans. Instrum. Meas., 2025

FOCUS: Towards Universal Foreground Segmentation.

Zuyao You, Lingyu Kong, Lingchen Meng, Zuxuan Wu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Comprehensive Multi-Modal Prototypes Are Simple and Effective Classifiers for Vast-Vocabulary Object Detection.

Yitong Chen, Wenhao Yao, Lingchen Meng, Sihong Wu, Zuxuan Wu, Yu-Gang Jiang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Inst-IT: Boosting Multimodal Instance Understanding via Explicit Visual Prompt Instruction Tuning.

Wujian Peng, Lingchen Meng, Yitong Chen, Yiweng Xie, Yang Liu, Tao Gui, Hang Xu, Xipeng Qiu, Zuxuan Wu, Yu-Gang Jiang

CoRR, 2024

V3Det Challenge 2024 on Vast Vocabulary and Open Vocabulary Object Detection: Methods and Results.

Jiaqi Wang, Yuhang Zang, Pan Zhang, Tao Chu, Yuhang Cao, Zeyi Sun, Ziyu Liu, Xiaoyi Dong, Tong Wu, Dahua Lin, Zeming Chen, Zhi Wang, Lingchen Meng, Wenhao Yao, Jianwei Yang, Sihong Wu, Zhineng Chen, Zuxuan Wu, Yu-Gang Jiang, Peixi Wu, Bosong Chai, Xuan Nie, Longquan Yan, Zeyu Wang, Qifan Zhou, Boning Wang, Jiaqi Huang, Zunnan Xu, Xiu Li, Kehong Yuan, Yanyan Zu, Jiayao Ha, Qiong Gao, Licheng Jiao

CoRR, 2024

DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs.

Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SegIC: Unleashing the Emergent Correspondence for In-Context Segmentation.

Lingchen Meng, Shiyi Lan, Hengduo Li, José M. Álvarez, Zuxuan Wu, Yu-Gang Jiang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning.

Junke Wang, Lingchen Meng, Zejia Weng, Bo He, Zuxuan Wu, Yu-Gang Jiang

CoRR, 2023

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection.

Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding.

Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

AdaViT: Adaptive Vision Transformers for Efficient Image Recognition.

Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim

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

2021

A Multimodal Framework for Video Ads Understanding.

Zejia Weng, Lingchen Meng, Rui Wang, Zuxuan Wu, Yu-Gang Jiang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021