Hu, Qingyong

17 publications

CVPR 2025 Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Yuting Zhang, Hao Lu, Qingyong Hu, Yin Wang, Kaishen Yuan, Xin Liu, Kaishun Wu

NeurIPS 2025 PhysDrive: A Multimodal Remote Physiological Measurement Dataset for In-Vehicle Driver Monitoring Jiyao Wang, Xiao Yang, Qingyong Hu, Jiankai Tang, Can Liu, Dengbo He, Yuntao Wang, Ying-Cong Chen, Kaishun Wu

ICLR 2024 ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression Guangchi Fang, Qingyong Hu, Longguang Wang, Yulan Guo

CVPRW 2024 GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing Hao Lu, Xuesong Niu, Jiyao Wang, Yin Wang, Qingyong Hu, Jiaqi Tang, Yuting Zhang, Kaishen Yuan, Bin Huang, Zitong Yu, Dengbo He, Shuiguang Deng, Hao Chen, Yingcong Chen, Shiguang Shan

CVPR 2024 Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, Yulan Guo

CVPR 2023 BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo

CVPR 2023 Backdoor Defense via Deconfounded Representation Learning Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu

CVPR 2022 3DAC: Learning Attribute Compression for Point Clouds Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo

ECCV 2022 DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li

NeurIPS 2022 Hierarchical Graph Transformer with Adaptive Node Sampling Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee

ECCV 2022 Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds Ta-Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham

CVPR 2022 No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-Level Space-Time Surfaces Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham

CVPR 2022 Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo

ECCV 2022 SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham

CVPR 2021 SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo

CVPR 2021 Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham

NeurIPS 2019 Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni