Wang, Tai

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Wang, T., Zhu, X., Pang, J., & Lin, D. (2021) · arXiv

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 683

SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds

Zhu, X., Ma, Y., Wang, T., Xu, Y., Shi, J., & Lin, D. (2020) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 119

LLaVA-3D: A Simple Yet Effective Pathway to Empowering LMMs with 3D Capabilities

Zhu, C., Wang, T., Zhang, W., Pang, J., & Liu, X. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 42

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Zheng, J., Li, J., Wang, Z., Liu, D., Kang, X., Feng, Y., Zheng, Y., Zou, J., Chen, Y., Zeng, J., et al. (2025) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 0