Wang, Zun

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Li, K., Wang, Y., He, Y., Li, Y., Wang, Y., Liu, Y., Wang, Z., Xu, J., Chen, G., Lou, P., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 300

Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation

Hong, Y., Wang, Z., Wu, Q., & Gould, S. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 94

Scaling Data Generation in Vision-and-Language Navigation

Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., Gould, S., Tan, H., & Qiao, Y. (2023) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 64

Scaling Data Generation in Vision-and-Language Navigation

Wang, Z., Li, J., Hong, Y., Wang, Y., Wu, Q., Bansal, M., Gould, S., Tan, H., & Qiao, Y. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 64

1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)

An, D., Wang, Z., Li, Y., Wang, Y., Hong, Y., Huang, Y., Wang, L., & Shao, J. (2022) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 6