Yuan, Lu

Mobile-Former: Bridging MobileNet and Transformer

Chen, Y., Dai, X., Chen, D., Liu, M., Dong, X., Yuan, L., & Liu, Z. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 731

Flow-Guided Feature Aggregation for Video Object Detection

Zhu, X., Wang, Y., Dai, J., Yuan, L., & Wei, Y. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 729

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Gu, S., Chen, D., Bao, J., Wen, F., Zhang, B., Chen, D., Yuan, L., & Guo, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 720

Bidirectional Learning for Domain Adaptation of Semantic Segmentation

Li, Y., Yuan, L., & Vasconcelos, N. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 704

Lite-HRNet: A Lightweight High-Resolution Network

Yu, C., Xiao, B., Gao, C., Yuan, L., Zhang, L., Sang, N., & Wang, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 557

Dynamic DETR: End-to-End Object Detection with Dynamic Attention

Dai, X., Chen, Y., Yang, J., Zhang, P., Yuan, L., & Zhang, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 456

Florence: A New Foundation Model for Computer Vision

Yuan, L., Chen, D., Chen, Y.-L., Codella, N., Dai, X., Gao, J., Hu, H., Huang, X., Li, B., Li, C., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 389

BEVT: BERT Pretraining of Video Transformers

Wang, R., Chen, D., Wu, Z., Chen, Y., Dai, X., Liu, M., Jiang, Y.-G., Zhou, L., & Yuan, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 234

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Abdin, M., Aneja, J., Awadalla, H., Awadallah, A., Awan, A. A., Bach, N., Bahree, A., Bakhtiari, A., Bao, J., Behl, H., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 166

Chasing Sparsity in Vision Transformers: An End-to-End Exploration

Chen, T., Cheng, Y., Gan, Z., Yuan, L., Zhang, L., & Wang, Z. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 111

Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Ning, M., Zhu, B., Xie, Y., Lin, B., Cui, J., Yuan, L., Chen, D., & Yuan, L. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 36