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2020 – today
- 2024
[j19]Han Zhang, Hang Dai, Wenjing Ren:
A study on the design method of multivariable control chalice-shaped columns considering horizontal forces based on multi-objective optimization. Comput. Aided Des. 171: 103706 (2024)- [j18]Jun Tang
, Chenyan Lu, Zhengxue Liu, Jiale Li, Hang Dai, Yong Ding:
CTVSR: Collaborative Spatial-Temporal Transformer for Video Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5018-5032 (2024) - [c35]Jiale Li, Hang Dai, Yu Wang, Guangzhi Cao, Chun Luo, Yong Ding:
Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. ICRA 2024: 7710-7717 - [c34]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. ISBI 2024: 1-5 - [i22]Yu Hong, Qian Liu, Huayuan Cheng, Danjiao Ma, Hang Dai, Yu Wang, Guangzhi Cao, Yong Ding:
UniVision: A Unified Framework for Vision-Centric 3D Perception. CoRR abs/2401.06994 (2024) - [i21]Athanasios Tragakis, Qianying Liu, Chaitanya Kaul, Swalpa Kumar Roy, Hang Dai, Fani Deligianni, Roderick Murray-Smith, Daniele Faccio:
GLFNET: Global-Local (frequency) Filter Networks for efficient medical image segmentation. CoRR abs/2403.00396 (2024) - [i20]Qianying Liu, Paul Henderson, Xiao Gu, Hang Dai, Fani Deligianni:
Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. CoRR abs/2409.10422 (2024) - 2023
- [j17]Hang Dai, Zhenya Yu:
A new design method for the openings of shell structures under the dual control of principal stress lines and stress contours. Adv. Eng. Softw. 183: 103479 (2023) - [j16]Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao:
Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. IEEE Trans. Medical Imaging 42(11): 3194-3204 (2023) - [j15]Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao:
Automatic Schelling Point Detection From Meshes. IEEE Trans. Vis. Comput. Graph. 29(6): 2926-2939 (2023) - [c33]Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao:
High-Resolution Iterative Feedback Network for Camouflaged Object Detection. AAAI 2023: 881-889 - [c32]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CVPR 2023: 5557-5566 - [c31]Jiale Li, Hang Dai, Hao Han, Yong Ding:
MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving. CVPR 2023: 21694-21704 - [c30]Nick E. Pears, Hang Dai, William A. P. Smith, Hao Sun:
Laplacian ICP for Progressive Registration of 3D Human Head Meshes. FG 2023: 1-7 - [c29]Ahmed Elhagry, Hang Dai, Abdulmotaleb El-Saddik, Wail Gueaieb, Giulia De Masi:
CEAFFOD: Cross-Ensemble Attention-based Feature Fusion Architecture Towards a Robust and Real-time UAV-based Object Detection in Complex Scenarios. ICRA 2023: 4865-4872 - [c28]Ahmed Elhagry, Hang Dai, Abdulmotaleb El-Saddik:
Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. IROS 2023: 7428-7435 - [i19]Nick E. Pears, Hang Dai, William A. P. Smith, Hao Sun:
Laplacian ICP for Progressive Registration of 3D Human Head Meshes. CoRR abs/2302.02194 (2023) - [i18]Jiale Li, Hang Dai, Hao Han, Yong Ding:
MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving. CoRR abs/2303.08600 (2023) - [i17]Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong:
Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. CoRR abs/2303.14816 (2023) - 2022
- [j14]Zhenya Yu, Hang Dai, Ziying Shi:
Designing Truss in Architecture: Method and Applications Based on Clustering Algorithms and Principal Stress Lines. Comput. Aided Des. 151: 103330 (2022) - [j13]Shao-Hwa Hu, Jiao-Jiao Yuan, Hang Dai, Yang-Yang Liu, Jing He, Jun-Ling Tu:
Preparation of a Flexible X-Band Radar-Wave-Absorbing Composite Material by Using Beta-Silicon Carbide and Polyurethane as Substrates and Multiwalled Carbon Nanotubes as Additives. Symmetry 14(10): 2144 (2022) - [c27]Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith:
Convolutional Point Transformer. ACCV (Workshops) 2022: 308-324 - [c26]Yi-Nan Chen, Hang Dai, Yong Ding:
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. CVPR 2022: 877-887 - [c25]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. ECCV (18) 2022: 38-56 - [c24]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. ECCV (10) 2022: 87-104 - [c23]Jiale Li, Hang Dai, Yong Ding:
Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving. ECCV (28) 2022: 659-676 - [c22]Tanveer Hussain, Hang Dai, Wail Gueaieb, Marco Sicklinger, Giulia De Masi:
UAV-based Multi-scale Features Fusion Attention for Fire Detection in Smart City Ecosystems. ISC2 2022: 1-4 - [i16]Zhou Huang, Tian-Zhu Xiang, Huai-Xin Chen, Hang Dai:
Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images. CoRR abs/2202.03501 (2022) - [i15]Yi-Nan Chen, Hang Dai, Yong Ding:
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. CoRR abs/2203.02112 (2022) - [i14]Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool:
Highly Accurate Dichotomous Image Segmentation. CoRR abs/2203.03041 (2022) - [i13]Xiaobin Hu, Deng-Ping Fan, Xuebin Qin, Hang Dai, Wenqi Ren, Ying Tai, Chengjie Wang, Ling Shao:
High-resolution Iterative Feedback Network for Camouflaged Object Detection. CoRR abs/2203.11624 (2022) - [i12]Yunqing Bao, Hang Dai, Abdulmotaleb El-Saddik:
Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks. CoRR abs/2208.04361 (2022) - [i11]Yu Hong, Hang Dai, Yong Ding:
Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. CoRR abs/2211.07171 (2022) - 2021
- [j12]Jiale Li, Yu Sun, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. IEEE Access 9: 98249-98260 (2021) - [c21]Hang Dai, Tianyu Zhao:
Ways to Promote Cross-cultural Adaptation of International Students from Medical Universities in Campus Activities under the Background of Big Data. CIPAE 2021: 1042-1046 - [c20]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CVPR 2021: 6145-6154 - [c19]Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. ISBI 2021: 1042-1046 - [c18]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. ACM Multimedia 2021: 553-562 - [c17]Sohail Ahmed Khan, Hang Dai:
Video Transformer for Deepfake Detection with Incremental Learning. ACM Multimedia 2021: 1821-1828 - [c16]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. ACM Multimedia 2021: 4622-4631 - [c15]Hao Sun, Nick E. Pears, Hang Dai:
A Human Ear Reconstruction Autoencoder. VISIGRAPP (5: VISAPP) 2021: 136-145 - [i10]Sohail Ahmed Khan, Alessandro Artusi, Hang Dai:
Adversarially robust deepfake media detection using fused convolutional neural network predictions. CoRR abs/2102.05950 (2021) - [i9]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
M3DSSD: Monocular 3D Single Stage Object Detector. CoRR abs/2103.13164 (2021) - [i8]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. CoRR abs/2108.03634 (2021) - [i7]Jiale Li, Hang Dai, Ling Shao, Yong Ding:
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. CoRR abs/2108.03648 (2021) - [i6]Sohail Ahmed Khan, Hang Dai:
Video Transformer for Deepfake Detection with Incremental Learning. CoRR abs/2108.05307 (2021) - [i5]Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith:
CpT: Convolutional Point Transformer for 3D Point Cloud Processing. CoRR abs/2111.10866 (2021) - 2020
- [j11]Hang Dai, Yongtao Guan:
Nubeam-dedup: a fast and RAM-efficient tool to de-duplicate sequencing reads without mapping. Bioinform. 36(10): 3254-3256 (2020) - [j10]Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai:
A Tri-Attention Neural Network Model-BasedRecommendation. Complex. 2020: 3857871:1-3857871:10 (2020) - [j9]Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan:
Statistical Modeling of Craniofacial Shape and Texture. Int. J. Comput. Vis. 128(2): 547-571 (2020) - [c14]Hang Dai, Shujie Luo, Yong Ding, Ling Shao:
Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations. ECCV Workshops (2) 2020: 27-32 - [c13]Shujie Luo, Hang Dai, Ling Shao, Yong Ding:
C4AV: Learning Cross-Modal Representations from Transformers. ECCV Workshops (2) 2020: 33-38 - [c12]Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Penalizing Small Errors Using an Adaptive Logarithmic Loss. ICPR Workshops (1) 2020: 368-375 - [i4]Jiale Li, Shujie Luo, Ziqi Zhu, Hang Dai, Andrey S. Krylov, Yong Ding, Ling Shao:
3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. CoRR abs/2004.04962 (2020) - [i3]Hao Sun, Nick E. Pears, Hang Dai:
A Human Ear Reconstruction Autoencoder. CoRR abs/2010.03972 (2020)
2010 – 2019
- 2019
- [j8]Hang Dai, Nick E. Pears, William A. P. Smith:
Augmenting a 3D morphable model of the human head with high resolution ears. Pattern Recognit. Lett. 128: 378-384 (2019) - [j7]Tianhao Liu, Dongdong Zhang, Hang Dai, Thomas Wu:
Intelligent Modeling and Optimization for Smart Energy Hub. IEEE Trans. Ind. Electron. 66(12): 9898-9908 (2019) - [c11]Hang Dai, Ling Shao:
PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. ICCV 2019: 5409-5418 - [c10]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. MICCAI (1) 2019: 442-450 - [i2]Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao:
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. CoRR abs/1907.10936 (2019) - 2018
- [b1]Hang Dai:
Statistical modelling of craniofacial shape. University of York, UK, 2018 - [j6]Libin Yang, Yu Zheng, Xiaoyan Cai, Hang Dai, Dejun Mu, Lantian Guo, Tao Dai:
A LSTM Based Model for Personalized Context-Aware Citation Recommendation. IEEE Access 6: 59618-59627 (2018) - [j5]Dejun Mu, Junhong Duan, Xiaoyu Li, Hang Dai, Xiaoyan Cai, Lantian Guo:
Expede Herculem: Learning Multi Labels From Single Label. IEEE Access 6: 61410-61418 (2018) - [j4]Dongdong Zhang, Hang Dai, Haisen Zhao, Thomas Wu:
A Fast Identification Method for Rotor Flux Density Harmonics and Resulting Rotor Iron Losses of Inverter-Fed Induction Motors. IEEE Trans. Ind. Electron. 65(7): 5384-5394 (2018) - [c9]Hang Dai, Nick E. Pears, William A. P. Smith:
Non-rigid 3D Shape Registration Using an Adaptive Template. ECCV Workshops (4) 2018: 48-63 - [c8]Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan:
Symmetric Shape Morphing for 3D Face and Head Modelling. FG 2018: 91-97 - [c7]Hang Dai, Nick E. Pears, William A. P. Smith:
A Data-Augmented 3D Morphable Model of the Ear. FG 2018: 404-408 - [c6]Ye Zhang, Libin Yang, Xiaoyan Cai, Hang Dai:
A Novel Personalized Citation Recommendation Approach Based on GAN. ISMIS 2018: 268-278 - [i1]Hang Dai, Nick E. Pears, William A. P. Smith:
Non-rigid 3D Shape Registration using an Adaptive Template. CoRR abs/1803.07973 (2018) - 2017
- [j3]Yong Ding, Xinyu Zhao, Zhi Zhang, Hang Dai:
Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification. IEICE Trans. Inf. Syst. 100-D(6): 1303-1315 (2017) - [j2]Libin Yang, Xiaoyan Cai, Shirui Pan, Hang Dai, Dejun Mu:
Multi-document summarization based on sentence cluster using non-negative matrix factorization. J. Intell. Fuzzy Syst. 33(3): 1867-1879 (2017) - [j1]Hang Dai, Nick E. Pears, Christian Duncan:
Modelling of Orthogonal Craniofacial Profiles. J. Imaging 3(4): 55 (2017) - [c5]Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan:
A 3D Morphable Model of Craniofacial Shape and Texture Variation. ICCV 2017: 3104-3112 - [c4]Hang Dai, William A. P. Smith, Nick E. Pears, Christian Duncan:
Symmetry-Factored Statistical Modelling of Craniofacial Shape. ICCV Workshops 2017: 786-794 - [c3]Hang Dai, Nick E. Pears, Christian Duncan:
A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis. MIUA 2017: 731-742 - 2016
- [c2]Chao Zhang, William A. P. Smith, Arnaud Dessein, Nick E. Pears, Hang Dai:
Functional Faces: Groupwise Dense Correspondence Using Functional Maps. CVPR 2016: 5033-5041 - 2011
- [c1]Xi Li, Hang Dai:
The Color Components' Exchanging on Different Color Spaces and the Using for Image Segmentation. IPTC 2011: 123-126
Coauthor Index
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