Dai, Dengxin

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Chen, Y., Li, W., Sakaridis, C., Dai, D., & Van Gool, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 1,672

ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding

Sakaridis, C., Dai, D., & Van Gool, L. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 572

Motion Transformer with Global Intention Localization and Local Movement Refinement

Shi, S., Jiang, L., Dai, D., & Schiele, B. (2022) · arXiv

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 195

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners

Hecker, S., Dai, D., & Van Gool, L. (2018) · Lecture Notes in Computer Science

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 191

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

Dai, D., & Van Gool, L. (2018) · ETH Zurich

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 60

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities

Yan, X., Zhang, H., Cai, Y., Guo, J., Qiu, W., Gao, B., Zhou, K., Zhao, Y., Jin, H., Gao, J., et al. (2024) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 6