Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters. - Qingyong Hu; Yulan Guo; Zaiping Lin; Wei An; Hongwei Cheng (DICTA, 2016)

Correlation Filter Tracking: Beyond an Open-loop System. - Qingyong Hu; Yulan Guo; Yunjin Chen; Jingjing Xiao; Wei An (BMVC, 2017)

Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy. - Qingyong Hu; Yulan Guo; Zaiping Lin; Xinpu Deng; Wei An (IEEE Access, 2017)

Object Tracking Using Multiple Features and Adaptive Model Updating. - Qingyong Hu; Yulan Guo; Zaiping Lin; Wei An; Hongwei Cheng (IEEE Trans. Instrum. Meas., 2017)

Long-term Object Tracking with Instance Specific Proposals. - Hao Liu 061; Qingyong Hu; Biao Li; Yulan Guo (ICPR, 2018)

Semi-Online Multiple Object Tracking Using Graphical Tracklet Association. - Jiahui Wang; Yulan Guo; Xing Tang 003; Qingyong Hu; Wei An (IEEE Signal Process. Lett., 2018)

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. - Bo Yang 027; Jianan Wang; Ronald Clark; Qingyong Hu; Sen Wang 002; Andrew Markham; Niki Trigoni (NeurIPS, 2019)

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. - Ruigang Fu; Qingyong Hu; Xiaohu Dong; Yulan Guo; Yinghui Gao; Biao Li (BMVC, 2020)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (CVPR, 2020)

Robust Long-Term Tracking via Instance-Specific Proposals. - Hao Liu 061; Qingyong Hu; Biao Li; Yulan Guo (IEEE Trans. Instrum. Meas., 2020)

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. - Sheng Ao; Qingyong Hu; Bo Yang 027; Andrew Markham; Yulan Guo (CVPR, 2021)

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. - Qingyong Hu; Bo Yang 027; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (CVPR, 2021)

Cgan-Net: Class-Guided Asymmetric Non-Local Network for Real-Time Semantic Segmentation. - Hanlin Chen; Qingyong Hu; Jungang Yang 001; Jing Wu; Yulan Guo (ICASSP, 2021)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (CoRR, 2021)

Deep Learning for 3D Point Clouds: A Survey. - Yulan Guo; Hanyun Wang; Qingyong Hu; Hao Liu 061; Li Liu 002; Mohammed Bennamoun (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Zifan Yu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Fengbo Ren; Lucio Soibelman (BMVC, 2022)

3DAC: Learning Attribute Compression for Point Clouds. - Guangchi Fang; Qingyong Hu; Hanyun Wang; Yiling Xu; Yulan Guo (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 (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 013; Niki Trigoni; Andrew Markham (CVPR, 2022)

Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. - Ta Ying Cheng; Qingyong Hu; Qian Xie 001; Niki Trigoni; Andrew Markham (ECCV (2), 2022)

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. - Qingyong Hu; Bo Yang 027; Guangchi Fang; Yulan Guo; Ales Leonardis; Niki Trigoni; Andrew Markham (ECCV (27), 2022)

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. - Kaichen Zhou; Lanqing Hong; Changhao Chen; Hang Xu 004; Chaoqiang Ye; Qingyong Hu; Zhenguo Li (ECCV (39), 2022)

The First Challenge on Moving Object Detection and Tracking in Satellite Videos: Methods and Results. - Yulan Guo; Qian Yin; Qingyong Hu; Feng Zhang 046; Chao Xiao; Ye Zhang; Hanyun Wang; Chenguang Dai; Jian Yang; Zhuang Zhou; Weilong Guo; Xiyu Qi; et al. (ICPR, 2022)

Hierarchical Graph Transformer with Adaptive Node Sampling. - Zaixi Zhang; Qi Liu 003; Qingyong Hu; Chee-Kong Lee (NeurIPS, 2022)

Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision. - Yan Liu 043; Qingyong Hu; Yinjie Lei; Kai Xu 004; Jonathan Li 001; Yulan Guo (CoRR, 2022)

STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. - Meida Chen; Qingyong Hu; Hugues Thomas; Andrew Feng; Yu Hou; Kyle McCullough; Lucio Soibelman (CoRR, 2022)

4DAC: Learning Attribute Compression for Dynamic Point Clouds. - Guangchi Fang; Qingyong Hu; Yiling Xu; Yulan Guo (CoRR, 2022)

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. - Qingyong Hu; Bo Yang 027; Sheikh Khalid; Wen Xiao; Niki Trigoni; Andrew Markham (Int. J. Comput. Vis., 2022)

EarSpiro: Earphone-based Spirometry for Lung Function Assessment. - Wentao Xie 001; Qingyong Hu; Jin Zhang 001; Qian Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation. - Kunping Yan; Qingyong Hu; Hanyun Wang; Xiaohong Huang; Li Li; Song Ji (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. - Qingyong Hu; Bo Yang 027; Linhai Xie; Stefano Rosa; Yulan Guo; Zhihua Wang 005; Niki Trigoni; Andrew Markham (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark. - Qian Yin; Qingyong Hu; Hao Liu 061; Feng Zhang 046; Yingqian Wang 002; Zaiping Lin; Wei An; Yulan Guo (IEEE Trans. Geosci. Remote. Sens., 2022)

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration. - Sheng Ao; Qingyong Hu; Hanyun Wang; Kai Xu 004; Yulan Guo (CVPR, 2023)

Backdoor Defense via Deconfounded Representation Learning. - Zaixi Zhang; Qi Liu 003; Zhicai Wang; Zepu Lu; Qingyong Hu (CVPR, 2023)

VPPT: Visual Pre-Trained Prompt Tuning Framework for Few-Shot Image Classification. - Zhao Song 011; Ke Yang 004; Naiyang Guan; Junjie Zhu; Peng Qiao; Qingyong Hu (ICASSP, 2023)

CSI-StripeFormer: Exploiting Stripe Features for CSI Compression in Massive MIMO System. - Qingyong Hu; Hua Kang; Huangxun Chen; Qianyi Huang; Qian Zhang 001; Min Cheng (INFOCOM, 2023)

RIScan: RIS-aided Multi-user Indoor Localization Using COTS Wi-Fi. - Chenggao Li; Qianyi Huang; Yuxuan Zhou; Yandao Huang; Qingyong Hu; Huangxun Chen; Qian Zhang 001 (SenSys, 2023)

PDAssess: A Privacy-preserving Free-speech based Parkinson's Disease Daily Assessment System. - Baichen Yang; Qingyong Hu; Wentao Xie 001; Xinchen Wang; Wei Luo; Qian Zhang 001 (SenSys, 2023)

Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework. - Ziyin Zeng; Qingyong Hu; Zhong Xie; Jian Zhou 011; Yongyang Xu (CoRR, 2023)

PVP: Pre-trained Visual Parameter-Efficient Tuning. - Zhao Song 011; Ke Yang 004; Naiyang Guan; Junjie Zhu; Peng Qiao; Qingyong Hu (CoRR, 2023)

V2P-SSD: Single-Stage 3-D Object Detection With Voxel-to-Point Transformation. - Yifan Zhang; Qingyong Hu; Ke Xu 013; Jianwei Wan; Yulan Guo (IEEE Geosci. Remote. Sens. Lett., 2023)

DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences. - Hao Liu 061; Qingyong Hu; Yanni Ma; Kai Xie; Yulan Guo (IEEE Trans. Instrum. Meas., 2023)

CenterTube: Tracking Multiple 3D Objects With 4D Tubelets in Dynamic Point Clouds. - Hao Liu 061; Yanni Ma; Qingyong Hu; Yulan Guo (IEEE Trans. Multim., 2023)

You Only Train Once: Learning General and Distinctive 3D Local Descriptors. - Sheng Ao; Yulan Guo; Qingyong Hu; Bo Yang 027; Andrew Markham; Zengping Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations. - Haiping Wang 004; Yuan Liu 025; Qingyong Hu; Bing Wang 013; Jianguo Chen; Zhen Dong 005; Yulan Guo; Wenping Wang 001; Bisheng Yang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

SF-Adapter: Computational-Efficient Source-Free Domain Adaptation for Human Activity Recognition. - Hua Kang; Qingyong Hu; Qian Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing. - Hao Lu 009; Xuesong Niu; Jiyao Wang; Yin Wang 004; Qingyong Hu; Jiaqi Tang 005; Yuting Zhang 008; Kaishen Yuan; Bin Huang; Zitong Yu; Dengbo He; Shuiguang Deng; et al. (CVPR Workshops, 2024)

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution. - Longguang Wang; Juncheng Li 003; Yingqian Wang 002; Qingyong Hu; Yulan Guo (CVPR, 2024)

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

Lighten CARAFE: Dynamic Lightweight Upsampling with Guided Reassemble Kernels. - Ruigang Fu; Qingyong Hu; Xiaohu Dong; Yinghui Gao; Biao Li; Ping Zhong (ICPR (4), 2024)

Content-Aware Feature Upsampling for Voxel-Based 3D Semantic Segmentation. - Yu Song; Ruigang Fu; Qingyong Hu; Biao Li; Ping Zhong (ICPR (30), 2024)

ICPR 2024 Competition on Moving Object Detection and Tracking in Satellite Videos: Methods and Results. - Qian Yin; Yulan Guo; Qingyong Hu; Feng Zhang 046; Yuting Xie; Ye Zhang; Huaiyu Chen; Hanyun Wang; Han Wang 049; Furui Chen; Rong Yang; Silei Liu; et al. (ICPR (34), 2024)

Cross-shaped Separated Spatial-Temporal UNet Transformer For Accurate Channel Prediction. - Hua Kang; Qingyong Hu; Huangxun Chen; Qianyi Huang; Qian Zhang 001; Min Cheng (INFOCOM, 2024)

FedGT: Federated Node Classification with Scalable Graph Transformer. - Zaixi Zhang; Qingyong Hu; Yang Yu; Weibo Gao; Qi Liu 003 (CoRR, 2024)

PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds. - Miao Tang; Dianyu Yu; Qingyong Hu; Wenxia Dai; Wen Xiao (IEEE Trans. Geosci. Remote. Sens., 2024)

Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries. - Qi Song; Qingyong Hu; Chi Zhang; Yongquan Chen; Rui Huang 001 (IEEE Trans. Image Process., 2024)

Panoptic segmentation of 3D point clouds with Gaussian mixture model in outdoor scenes. - Yizhou Wang; Longguang Wang; Qingyong Hu; Yan Liu 043; Ye Zhang; Yulan Guo (Vis. Intell., 2024)

Sampling Strategies for Efficient Segmentation and Object Detection of 3D Point Clouds. - Qingyong Hu (World Sci. Annu. Rev. Artif. Intell., 2024)

Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation. - Zhongxi Qiu; Yan Hu; Xiaoshan Chen; Dan Zeng 002; Qingyong Hu; Jiang Liu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Contactless Arterial Blood Pressure Waveform Monitoring with mmWave Radar. - Qingyong Hu; Qian Zhang 001; Hao Lu 009; Shun Wu; Yuxuan Zhou; Qianyi Huang; Huangxun Chen; Ying-Cong Chen; Ni Zhao (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

BSTS: A Weakly-Supervised Method for Semantic Learning of 3D Point Clouds. - Yan Liu 043; Qingyong Hu; Yulan Guo (IEEE Trans. Circuits Syst. Video Technol., 2024)

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model. - Yuting Zhang 008; Hao Lu 009; Qingyong Hu; Yin Wang 004; Kaishen Yuan; Xin Liu 012; Kaishun Wu (CVPR, 2025)

ToolFiVe: Enhancing Tool-Augmented LLMs via Tool Filtering and Verification. - Hailun Lu; Xingming Li; Xuanyu Ji; Zhigang Kan; Qingyong Hu (ICASSP, 2025)

Small but mighty: Enhancing 3D point clouds semantic segmentation with U-Next framework. - Ziyin Zeng; Qingyong Hu; Zhong Xie; Bijun Li; Jian Zhou 011; Yongyang Xu (Int. J. Appl. Earth Obs. Geoinformation, 2025)

WSSIC-Net: Weakly-Supervised Semantic Instance Completion of 3D Point Cloud Scenes. - Zhiheng Fu; Yulan Guo; Minglin Chen; Qingyong Hu; Hamid Laga; Farid Boussaïd; Mohammed Bennamoun (IEEE Trans. Image Process., 2025)

Adaptive Sparse Memory Networks for Efficient and Robust Video Object Segmentation. - Jisheng Dang; Huicheng Zheng; Xiaohao Xu; Longguang Wang; Qingyong Hu; Yulan Guo (IEEE Trans. Neural Networks Learn. Syst., 2025)

Sage Deer: A Super-Aligned Driving Generalist Is Your Copilot. - Hao Lu 009; Jiaqi Tang 005; Jiyao Wang; Yunfan Lu; Xu Cao; Qingyong Hu; Yin Wang 004; Yuting Zhang 008; Tianxin Xie; Yunpeng Zhang; Yong Chen; Jiayu. Gao; et al. (CoRR, 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; Yingcong Chen; Kaishun Wu (CoRR, 2025)

Ubicon-BP: Towards Ubiquitous, Contactless Blood Pressure Detection Using Smartphone. - Yuan Wu 007; Shoudu Bai; Qingyong Hu; Bo Wang 047; Min Li; Xinrong Hu; Yanjiao Chen (IEEE Trans. Mob. Comput., 2025)

PracticalBP: Continuous Cuffless Blood Pressure Monitoring with Only One Record for Calibration. - Chenggao Li; Junyao Peng; Qingyong Hu; Lin Chen 020; Yandao Huang; Shun Wu; Weibin Cheng; Qian Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)