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2020 – today
- 2024
[j19]Zhongxi Qiu
, Yan Hu, Xiaoshan Chen, Dan Zeng, Qingyong Hu, Jiang Liu:
Rethinking Dual-Stream Super-Resolution Semantic Learning in Medical Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 451-464 (2024)- [j18]Miao Tang, Dianyu Yu, Qingyong Hu, Wenxia Dai, Wen Xiao:
PDANet: Point Distribution Awareness for 3-D Object Detection From LiDAR Point Clouds. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j17]Qi Song, Qingyong Hu, Chi Zhang, Yongquan Chen, Rui Huang:
Divide and Conquer: Improving Multi-Camera 3D Perception With 2D Semantic-Depth Priors and Input-Dependent Queries. IEEE Trans. Image Process. 33: 897-909 (2024) - [c28]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:
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing. CVPR Workshops 2024: 322-331 - [c27]Longguang Wang, Juncheng Li, Yingqian Wang, Qingyong Hu, Yulan Guo:
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution. CVPR 2024: 25712-25721 - [c26]Guangchi Fang, Qingyong Hu, Longguang Wang, Yulan Guo:
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression. ICLR 2024 - [c25]Hua Kang, Qingyong Hu, Huangxun Chen, Qianyi Huang, Qian Zhang, Min Cheng:
Cross-shaped Separated Spatial-Temporal UNet Transformer For Accurate Channel Prediction. INFOCOM 2024: 2079-2088 - [i25]Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu:
FedGT: Federated Node Classification with Scalable Graph Transformer. CoRR abs/2401.15203 (2024) - [i24]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:
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing. CoRR abs/2403.05916 (2024) - [i23]Qi Song, Qingyong Hu, Chi Zhang, Yongquan Chen, Rui Huang:
Divide and Conquer: Improving Multi-Camera 3D Perception with 2D Semantic-Depth Priors and Input-Dependent Queries. CoRR abs/2408.06901 (2024) - 2023
- [j16]Hua Kang, Qingyong Hu, Qian Zhang:
SF-Adapter: Computational-Efficient Source-Free Domain Adaptation for Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(4): 164:1-164:23 (2023) - [j15]Yifan Zhang, Qingyong Hu, Ke Xu, Jianwei Wan, Yulan Guo:
V2P-SSD: Single-Stage 3-D Object Detection With Voxel-to-Point Transformation. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j14]Sheng Ao, Yulan Guo, Qingyong Hu, Bo Yang, Andrew Markham, Zengping Chen:
You Only Train Once: Learning General and Distinctive 3D Local Descriptors. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3949-3967 (2023) - [j13]Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang:
RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10376-10393 (2023) - [j12]Hao Liu, Qingyong Hu, Yanni Ma, Kai Xie, Yulan Guo:
DeepPCT: Single Object Tracking in Dynamic Point Cloud Sequences. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j11]Hao Liu, Yanni Ma, Qingyong Hu, Yulan Guo:
CenterTube: Tracking Multiple 3D Objects With 4D Tubelets in Dynamic Point Clouds. IEEE Trans. Multim. 25: 8793-8804 (2023) - [c24]Sheng Ao, Qingyong Hu, Hanyun Wang, Kai Xu, Yulan Guo:
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration. CVPR 2023: 1255-1264 - [c23]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CVPR 2023: 12228-12238 - [c22]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
VPPT: Visual Pre-Trained Prompt Tuning Framework for Few-Shot Image Classification. ICASSP 2023: 1-5 - [c21]Qingyong Hu, Hua Kang, Huangxun Chen, Qianyi Huang, Qian Zhang, Min Cheng:
CSI-StripeFormer: Exploiting Stripe Features for CSI Compression in Massive MIMO System. INFOCOM 2023: 1-10 - [c20]Baichen Yang, Qingyong Hu, Wentao Xie, Xinchen Wang, Wei Luo, Qian Zhang:
PDAssess: A Privacy-preserving Free-speech based Parkinson's Disease Daily Assessment System. SenSys 2023: 251-264 - [c19]Chenggao Li, Qianyi Huang, Yuxuan Zhou, Yandao Huang, Qingyong Hu, Huangxun Chen, Qian Zhang:
RIScan: RIS-aided Multi-user Indoor Localization Using COTS Wi-Fi. SenSys 2023: 445-458 - [i22]Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu:
Backdoor Defense via Deconfounded Representation Learning. CoRR abs/2303.06818 (2023) - [i21]Ziyin Zeng, Qingyong Hu, Zhong Xie, Jian Zhou, Yongyang Xu:
Small but Mighty: Enhancing 3D Point Clouds Semantic Segmentation with U-Next Framework. CoRR abs/2304.00749 (2023) - [i20]Zhao Song, Ke Yang, Naiyang Guan, Junjie Zhu, Peng Qiao, Qingyong Hu:
PVP: Pre-trained Visual Parameter-Efficient Tuning. CoRR abs/2304.13639 (2023) - 2022
- [j10]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. Int. J. Comput. Vis. 130(2): 316-343 (2022) - [j9]Wentao Xie, Qingyong Hu, Jin Zhang, Qian Zhang:
EarSpiro: Earphone-based Spirometry for Lung Function Assessment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 188:1-188:27 (2022) - [j8]Kunping Yan, Qingyong Hu, Hanyun Wang, Xiaohong Huang, Li Li, Song Ji:
Continuous Mapping Convolution for Large-Scale Point Clouds Semantic Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j7]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8338-8354 (2022) - [j6]Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo:
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c18]Meida Chen, Qingyong Hu, Zifan Yu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Fengbo Ren, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. BMVC 2022: 429 - [c17]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CVPR 2022: 8500-8510 - [c16]Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo:
3DAC: Learning Attribute Compression for Point Clouds. CVPR 2022: 14799-14808 - [c15]Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo:
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds. CVPR 2022: 18931-18940 - [c14]Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li:
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. ECCV (39) 2022: 125-142 - [c13]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds. ECCV (27) 2022: 600-619 - [c12]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. ECCV (2) 2022: 694-710 - [c11]Yulan Guo, Qian Yin, Qingyong Hu, Feng Zhang, Chao Xiao, Ye Zhang, Hanyun Wang, Chenguang Dai, Jian Yang, Zhuang Zhou, Weilong Guo, Xiyu Qi, Kelong Tu, Cong Xu, Shudan Zhu, Lai Chen, Bin Lin, Chaocan Xue, Jinlei Zheng, Limei Qin, Ying Li, Manqi Zhao, Lu Ruan, Mingpeng Cui, Guanchen Ding, Guangwei Jiang, Zhenzhong Chen, Yuhan Sun, Kaiyang Cao, Lingyu Kong, Shaodong Chen, Zhicheng Zhao, Qin Shen, Lei Liu, Chenglong Li, Yun Xiao:
The First Challenge on Moving Object Detection and Tracking in Satellite Videos: Methods and Results. ICPR 2022: 4981-4988 - [c10]Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee:
Hierarchical Graph Transformer with Adaptive Node Sampling. NeurIPS 2022 - [i19]Yan Liu, Qingyong Hu, Yinjie Lei, Kai Xu, Jonathan Li, Yulan Guo:
Box2Seg: Learning Semantics of 3D Point Clouds with Box-Level Supervision. CoRR abs/2201.02963 (2022) - [i18]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds. CoRR abs/2201.04494 (2022) - [i17]Meida Chen, Qingyong Hu, Hugues Thomas, Andrew Feng, Yu Hou, Kyle McCullough, Lucio Soibelman:
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset. CoRR abs/2203.09065 (2022) - [i16]Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo:
3DAC: Learning Attribute Compression for Point Clouds. CoRR abs/2203.09931 (2022) - [i15]Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham:
No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. CoRR abs/2203.11113 (2022) - [i14]Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo:
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds. CoRR abs/2203.11139 (2022) - [i13]Ta Ying Cheng, Qingyong Hu, Qian Xie, Niki Trigoni, Andrew Markham:
Meta-Sampler: Almost-Universal yet Task-Oriented Sampling for Point Clouds. CoRR abs/2203.16001 (2022) - [i12]Guangchi Fang, Qingyong Hu, Yiling Xu, Yulan Guo:
4DAC: Learning Attribute Compression for Dynamic Point Clouds. CoRR abs/2204.11723 (2022) - [i11]Kaichen Zhou, Lanqing Hong, Changhao Chen, Hang Xu, Chaoqiang Ye, Qingyong Hu, Zhenguo Li:
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction. CoRR abs/2209.06351 (2022) - [i10]Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee:
Hierarchical Graph Transformer with Adaptive Node Sampling. CoRR abs/2210.03930 (2022) - 2021
- [j5]Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun:
Deep Learning for 3D Point Clouds: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4338-4364 (2021) - [c9]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CVPR 2021: 4977-4987 - [c8]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CVPR 2021: 11753-11762 - [c7]Hanlin Chen, Qingyong Hu, Jungang Yang, Jing Wu, Yulan Guo:
Cgan-Net: Class-Guided Asymmetric Non-Local Network for Real-Time Semantic Segmentation. ICASSP 2021: 2325-2329 - [i9]Qingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Ales Leonardis, Niki Trigoni, Andrew Markham:
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds with 1000x Fewer Labels. CoRR abs/2104.04891 (2021) - [i8]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling. CoRR abs/2107.02389 (2021) - [i7]Qian Yin, Qingyong Hu, Hao Liu, Feng Zhang, Yingqian Wang, Zaiping Lin, Wei An, Yulan Guo:
Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark. CoRR abs/2111.12960 (2021) - 2020
- [j4]Hao Liu, Qingyong Hu, Biao Li, Yulan Guo:
Robust Long-Term Tracking via Instance-Specific Proposals. IEEE Trans. Instrum. Meas. 69(4): 950-962 (2020) - [c6]Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li:
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. BMVC 2020 - [c5]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CVPR 2020: 11105-11114 - [i6]Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li:
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs. CoRR abs/2008.02312 (2020) - [i5]Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham:
Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. CoRR abs/2009.03137 (2020) - [i4]Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo:
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. CoRR abs/2011.12149 (2020)
2010 – 2019
- 2019
- [c4]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. NeurIPS 2019: 6737-6746 - [i3]Bo Yang, Jianan Wang, Ronald Clark, Qingyong Hu, Sen Wang, Andrew Markham, Niki Trigoni:
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds. CoRR abs/1906.01140 (2019) - [i2]Qingyong Hu, Bo Yang, Linhai Xie, Stefano Rosa, Yulan Guo, Zhihua Wang, Niki Trigoni, Andrew Markham:
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. CoRR abs/1911.11236 (2019) - [i1]Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, Mohammed Bennamoun:
Deep Learning for 3D Point Clouds: A Survey. CoRR abs/1912.12033 (2019) - 2018
- [j3]Jiahui Wang, Yulan Guo, Xing Tang, Qingyong Hu, Wei An:
Semi-Online Multiple Object Tracking Using Graphical Tracklet Association. IEEE Signal Process. Lett. 25(11): 1725-1729 (2018) - [c3]Hao Liu, Qingyong Hu, Biao Li, Yulan Guo:
Long-term Object Tracking with Instance Specific Proposals. ICPR 2018: 1628-1633 - 2017
- [j2]Qingyong Hu, Yulan Guo, Zaiping Lin, Xinpu Deng, Wei An:
Fast Correlation Tracking Using Low-Dimensional Scale Filter and Local Search Strategy. IEEE Access 5: 8568-8578 (2017) - [j1]Qingyong Hu, Yulan Guo, Zaiping Lin, Wei An, Hongwei Cheng:
Object Tracking Using Multiple Features and Adaptive Model Updating. IEEE Trans. Instrum. Meas. 66(11): 2882-2897 (2017) - [c2]Qingyong Hu, Yulan Guo, Yunjin Chen, Jingjing Xiao, Wei An:
Correlation Filter Tracking: Beyond an Open-loop System. BMVC 2017 - 2016
- [c1]Qingyong Hu, Yulan Guo, Zaiping Lin, Wei An, Hongwei Cheng:
Robust and Real-Time Object Tracking Using Scale-Adaptive Correlation Filters. DICTA 2016: 1-8
Coauthor Index
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