The Color Components' Exchanging on Different Color Spaces and the Using for Image Segmentation. - Xi Li; Hang Dai (IPTC, 2011)

Functional Faces: Groupwise Dense Correspondence Using Functional Maps. - Chao Zhang 023; William A. P. Smith; Arnaud Dessein; Nick E. Pears; Hang Dai (CVPR, 2016)

A 3D Morphable Model of Craniofacial Shape and Texture Variation. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (ICCV, 2017)

Symmetry-Factored Statistical Modelling of Craniofacial Shape. - Hang Dai; William A. P. Smith; Nick E. Pears; Christian Duncan (ICCV Workshops, 2017)

A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis. - Hang Dai; Nick E. Pears; Christian Duncan (MIUA, 2017)

Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification. - Yong Ding 003; Xinyu Zhao; Zhi Zhang; Hang Dai (IEICE Trans. Inf. Syst., 2017)

Multi-document summarization based on sentence cluster using non-negative matrix factorization. - Libin Yang; Xiaoyan Cai; Shirui Pan; Hang Dai; Dejun Mu (J. Intell. Fuzzy Syst., 2017)

Modelling of Orthogonal Craniofacial Profiles. - Hang Dai; Nick E. Pears; Christian Duncan (J. Imaging, 2017)

Non-rigid 3D Shape Registration Using an Adaptive Template. - Hang Dai; Nick E. Pears; William A. P. Smith (ECCV Workshops (4), 2018)

A Data-Augmented 3D Morphable Model of the Ear. - Hang Dai; Nick E. Pears; William A. P. Smith (FG, 2018)

Symmetric Shape Morphing for 3D Face and Head Modelling. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (FG, 2018)

A Novel Personalized Citation Recommendation Approach Based on GAN. - Ye Zhang; Libin Yang; Xiaoyan Cai; Hang Dai (ISMIS, 2018)

Expede Herculem: Learning Multi Labels From Single Label. - Dejun Mu; Junhong Duan; Xiaoyu Li; Hang Dai; Xiaoyan Cai; Lantian Guo (IEEE Access, 2018)

A LSTM Based Model for Personalized Context-Aware Citation Recommendation. - Libin Yang; Yu Zheng 013; Xiaoyan Cai; Hang Dai; Dejun Mu; Lantian Guo; Tao Dai 002 (IEEE Access, 2018)

A Fast Identification Method for Rotor Flux Density Harmonics and Resulting Rotor Iron Losses of Inverter-Fed Induction Motors. - Dongdong Zhang; Hang Dai; Haisen Zhao; Thomas Wu 001 (IEEE Trans. Ind. Electron., 2018)

Statistical modelling of craniofacial shape. - Hang Dai (2018)

PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling. - Hang Dai; Ling Shao 001 (ICCV, 2019)

ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation. - Zhijie Zhang; Huazhu Fu; Hang Dai; Jianbing Shen; Yanwei Pang; Ling Shao 001 (MICCAI (1), 2019)

Augmenting a 3D morphable model of the human head with high resolution ears. - Hang Dai; Nick E. Pears; William A. P. Smith (Pattern Recognit. Lett., 2019)

Intelligent Modeling and Optimization for Smart Energy Hub. - Tianhao Liu; Dongdong Zhang; Hang Dai; Thomas Wu 001 (IEEE Trans. Ind. Electron., 2019)

Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations. - Hang Dai; Shujie Luo; Yong Ding 003; Ling Shao 001 (ECCV Workshops (2), 2020)

C4AV: Learning Cross-Modal Representations from Transformers. - Shujie Luo; Hang Dai; Ling Shao 001; Yong Ding 003 (ECCV Workshops (2), 2020)

Penalizing Small Errors Using an Adaptive Logarithmic Loss. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ICPR Workshops (1), 2020)

Nubeam-dedup: a fast and RAM-efficient tool to de-duplicate sequencing reads without mapping. - Hang Dai; Yongtao Guan (Bioinform., 2020)

A Tri-Attention Neural Network Model-BasedRecommendation. - Nanxin Wang; Libin Yang; Yu Zheng 013; Xiaoyan Cai; Xin Mei; Hang Dai (Complex., 2020)

3D IoU-Net: IoU Guided 3D Object Detector for Point Clouds. - Jiale Li; Shujie Luo; Ziqi Zhu; Hang Dai; Andrey S. Krylov; Yong Ding 003; Ling Shao 001 (CoRR, 2020)

Statistical Modeling of Craniofacial Shape and Texture. - Hang Dai; Nick E. Pears; William A. P. Smith; Christian Duncan (Int. J. Comput. Vis., 2020)

Ways to Promote Cross-cultural Adaptation of International Students from Medical Universities in Campus Activities under the Background of Big Data. - Hang Dai; Tianyu Zhao (CIPAE, 2021)

M3DSSD: Monocular 3D Single Stage Object Detector. - Shujie Luo; Hang Dai; Ling Shao 001; Yong Ding 003 (CVPR, 2021)

Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation. - Chaitanya Kaul; Nick E. Pears; Hang Dai; Roderick Murray-Smith; Suresh Manandhar (ISBI, 2021)

Video Transformer for Deepfake Detection with Incremental Learning. - Sohail Ahmed Khan; Hang Dai (ACM Multimedia, 2021)

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. - Jiale Li; Hang Dai; Ling Shao 001; Yong Ding 003 (ACM Multimedia, 2021)

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. - Jiale Li; Hang Dai; Ling Shao 001; Yong Ding 003 (ACM Multimedia, 2021)

A Human Ear Reconstruction Autoencoder. - Hao Sun; Nick E. Pears; Hang Dai (VISIGRAPP (5: VISAPP), 2021)

P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds. - Jiale Li; Yu Sun; Shujie Luo; Ziqi Zhu; Hang Dai; Andrey S. Krylov; Yong Ding 003; Ling Shao 001 (IEEE Access, 2021)

Adversarially robust deepfake media detection using fused convolutional neural network predictions. - Sohail Ahmed Khan; Alessandro Artusi; Hang Dai (CoRR, 2021)

CpT: Convolutional Point Transformer for 3D Point Cloud Processing. - Chaitanya Kaul; Joshua Mitton; Hang Dai; Roderick Murray-Smith (CoRR, 2021)

Convolutional Point Transformer. - Chaitanya Kaul; Joshua Mitton; Hang Dai; Roderick Murray-Smith (ACCV (Workshops), 2022)

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. - Yi-Nan Chen; Hang Dai; Yong Ding 003 (CVPR, 2022)

Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection. - Yu Hong; Hang Dai; Yong Ding 003 (ECCV (10), 2022)

Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving. - Jiale Li; Hang Dai; Yong Ding 003 (ECCV (28), 2022)

Highly Accurate Dichotomous Image Segmentation. - Xuebin Qin; Hang Dai; Xiaobin Hu; Deng-Ping Fan; Ling Shao 001; Luc Van Gool (ECCV (18), 2022)

UAV-based Multi-scale Features Fusion Attention for Fire Detection in Smart City Ecosystems. - Tanveer Hussain; Hang Dai; Wail Gueaieb; Marco Sicklinger; Giulia De Masi (ISC2, 2022)

Designing Truss in Architecture: Method and Applications Based on Clustering Algorithms and Principal Stress Lines. - Zhenya Yu; Hang Dai; Ziying Shi (Comput. Aided Des., 2022)

Scribble-based Boundary-aware Network for Weakly Supervised Salient Object Detection in Remote Sensing Images. - Zhou Huang; Tian-Zhu Xiang; Huai-Xin Chen; Hang Dai (CoRR, 2022)

High-resolution Iterative Feedback Network for Camouflaged Object Detection. - Xiaobin Hu; Deng-Ping Fan; Xuebin Qin; Hang Dai; Wenqi Ren; Ying Tai; Chengjie Wang; Ling Shao 001 (CoRR, 2022)

Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks. - Yunqing Bao; Hang Dai; Abdulmotaleb El-Saddik (CoRR, 2022)

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. - Shao-Hwa Hu; Jiao-Jiao Yuan; Hang Dai; Yang-Yang Liu; Jing He; Jun-Ling Tu (Symmetry, 2022)

High-Resolution Iterative Feedback Network for Camouflaged Object Detection. - Xiaobin Hu; Shuo Wang; Xuebin Qin; Hang Dai; Wenqi Ren; Donghao Luo 001; Ying Tai; Ling Shao 001 (AAAI, 2023)

Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. - Zhou Huang; Hang Dai; Tian-Zhu Xiang; Shuo Wang 010; Huai-Xin Chen; Jie Qin; Huan Xiong (CVPR, 2023)

MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving. - Jiale Li; Hang Dai; Hao Han; Yong Ding 003 (CVPR, 2023)

Laplacian ICP for Progressive Registration of 3D Human Head Meshes. - Nick E. Pears; Hang Dai; William A. P. Smith; Hao Sun (FG, 2023)

CEAFFOD: Cross-Ensemble Attention-based Feature Fusion Architecture Towards a Robust and Real-time UAV-based Object Detection in Complex Scenarios. - Ahmed Elhagry; Hang Dai; Abdulmotaleb El-Saddik; Wail Gueaieb; Giulia De Masi (ICRA, 2023)

Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. - Ahmed Elhagry; Hang Dai; Abdulmotaleb El-Saddik (IROS, 2023)

Automatic Schelling Point Detection From Meshes. - Geng Chen 001; Hang Dai; Tao Zhou 002; Jianbing Shen; Ling Shao 001 (IEEE Trans. Vis. Comput. Graph., 2023)

A new design method for the openings of shell structures under the dual control of principal stress lines and stress contours. - Hang Dai; Zhenya Yu (Adv. Eng. Softw., 2023)

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces. - Geng Chen 001; Jie Qin; Boulbaba Ben Amor; Weiming Zhou; Hang Dai; Tao Zhou 002; Heyuan Huang; Ling Shao 001 (IEEE Trans. Medical Imaging, 2023)

Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. - Jiale Li; Hang Dai; Yu Wang 177; Guangzhi Cao; Chun Luo; Yong Ding 003 (ICRA, 2024)

Glfnet: Global-Local (Frequency) Filter Networks for Efficient Medical Image Segmentation. - Athanasios Tragakis; Qianying Liu; Chaitanya Kaul; Swalpa Kumar Roy; Hang Dai; Fani Deligianni; Roderick Murray-Smith; Daniele Faccio (ISBI, 2024)

A study on the design method of multivariable control chalice-shaped columns considering horizontal forces based on multi-objective optimization. - Han Zhang; Hang Dai; Wenjing Ren (Comput. Aided Des., 2024)

UniVision: A Unified Framework for Vision-Centric 3D Perception. - Yu Hong; Qian Liu; Huayuan Cheng; Danjiao Ma; Hang Dai; Yu Wang 177; Guangzhi Cao; Yong Ding 003 (CoRR, 2024)

CTVSR: Collaborative Spatial-Temporal Transformer for Video Super-Resolution. - Jun Tang; Chenyan Lu; Zhengxue Liu; Jiale Li; Hang Dai; Yong Ding 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. - Qianying Liu; Paul Henderson; Xiao Gu 003; Hang Dai; Fani Deligianni (WACV, 2025)

Metering Automation System 3.0 Base Version Based on Machine Learning. - Sheng Li; Leping Zhang; Hang Dai; Lukun Zeng; Yuan Ai; Shuang Qi; Yuanzhai Cui (IEEE Access, 2025)

IGAF: Incremental Guided Attention Fusion for Depth Super-Resolution. - Athanasios Tragakis; Chaitanya Kaul; Kevin J. Mitchell; Hang Dai; Roderick Murray-Smith; Daniele Faccio (CoRR, 2025)

VMG: Rethinking U-Net Architecture for Video Super-Resolution. - Jun Tang; Lele Niu; Linlin Liu; Hang Dai; Yong Ding 003 (IEEE Trans. Broadcast., 2025)

Waymo-3DSkelMo: A Multi-Agent 3D Skeletal Motion Dataset for Pedestrian Interaction Modeling in Autonomous Driving. - Guangxun Zhu; Shiyu Fan; Hang Dai; Edmond S. L. Ho (CoRR, 2025)

Certainty-Guided Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Qianying Liu; Xiao Gu 003; Paul Henderson; Hang Dai; Fani Deligianni (IEEE Trans. Biomed. Eng., 2025)