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Hao Zhao

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation

Feb 02, 2023
Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao

* Accepted by ICRA 2023, Code: https://github.com/ucaszyp/STEPS

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ADAPT: Action-aware Driving Caption Transformer

Feb 01, 2023
Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu

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* Accepted to ICRA2023. Code: https://github.com/jxbbb/ADAPT

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From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds

Jan 31, 2023
Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, Hongbin Zha

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* Accepted to ICRA2023. Code: https://github.com/AIR-DISCOVER/Omni-PQ

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AsyncNeRF: Learning Large-scale Radiance Fields from Asynchronous RGB-D Sequences with Time-Pose Function

Nov 14, 2022
Zirui Wu, Yuantao Chen, Runyi Yang, Zhenxin Zhu, Chao Hou, Yongliang Shi, Hao Zhao, Guyue Zhou

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* 10 pages, 6 figures, 4 tables

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SC-wLS: Towards Interpretable Feed-forward Camera Re-localization

Oct 23, 2022
Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, Hongbin Zha

* ECCV 2022

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VIBUS: Data-efficient 3D Scene Parsing with VIewpoint Bottleneck and Uncertainty-Spectrum Modeling

Oct 20, 2022
Beiwen Tian, Liyi Luo, Hao Zhao, Guyue Zhou

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* Accepted to ISPRS Journal of Photogrammetry and Remote Sensing, Code: https://github.com/AIR-DISCOVER/VIBUS

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TOIST: Task Oriented Instance Segmentation Transformer with Noun-Pronoun Distillation

Oct 19, 2022
Pengfei Li, Beiwen Tian, Yongliang Shi, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Ya-Qin Zhang

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* Accepted by NeurIPS 2022. Codes are available at https://github.com/AIR-DISCOVER/TOIST

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Planning Assembly Sequence with Graph Transformer

Oct 12, 2022
Lin Ma, Jiangtao Gong, Hao Xu, Hao Chen, Hao Zhao, Wenbing Huang, Guyue Zhou

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* Submitted to ICRA2023

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City-scale Incremental Neural Mapping with Three-layer Sampling and Panoptic Representation

Sep 28, 2022
Yongliang Shi, Runyi Yang, Pengfei Li, Zirui Wu, Hao Zhao, Guyue Zhou

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* 8 pages, 9 figures, submitted to RA-L

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