Lingchen Meng
- AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
2021/11/30 by Lingchen Meng, Hengduo Li, Meng, Lingchen +11 · 20 citations
Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
- Qwen3-VL Technical Report
2025/11/26 by Shuai Bai, Bai, Shuai, Yuxuan Cai +120 · 128 citations
Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Generative Adversarial Networks and Image Synthesis
- DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs
2024/06/06 by Lingchen Meng, Jianwei Yang, Meng, Lingchen +11 · 10 citations
Engineering · #Ferroelectric and Negative Capacitance Devices
- SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation
2023/11/24 by Lingchen Meng, Shiyi Lan, Meng, Lingchen +9 · 3 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning and Data Classification #Multimodal Machine Learning Applications
- Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
2022/06/07 by Lingchen Meng, Meng, Lingchen, Xiyang Dai +17 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- Enhancing Vision Foundation Models via Multimodal Continual Pre-Training
2025/03/24 by Yitong Chen, Chen, Yitong, Lingchen Meng +9 · 2 citations
#cs.CV
- INST-IT: Boosting Instance Understanding via Explicit Visual Prompt Instruction Tuning
2024/12/04 by Wujian Peng, Lingchen Meng, Peng, Wujian +17 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Speech and dialogue systems