Hong, Yicong

VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation

Hong, Y., Wu, Q., Qi, Y., Rodriguez-Opazo, C., & Gould, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 264

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Zhang, J., Wang, K., Xu, R., Zhou, G., Hong, Y., Fang, X., Wu, Q., Zhang, Z., & Wang, H. (2024) · Robotics: Science and Systems XX

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 103

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

HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation

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

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 82

The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation

Qi, Y., Pan, Z., Hong, Y., Yang, M.-H., van den Hengel, A., & Wu, Q. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 80

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

Navgpt-2: Unleashing navigational reasoning capability for large vision-language models

Zhou, G., Hong, Y., Wang, Z., Wang, X. E., & Wu, Q. (2025) · Lecture Notes in Computer Science

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 63

Learning Navigational Visual Representations with Semantic Map Supervision

Hong, Y., Zhou, Y., Zhang, R., Dernoncourt, F., Bui, T., Gould, S., & Tan, H. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 42

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

Test-Time Training Done Right

Zhang, T., Bi, S., Hong, Y., Zhang, K., Luan, F., Yang, S., Sunkavalli, K., Freeman, W. T., & Tan, H. (2025) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 0