Hang Dai

According to our database, Hang Dai authored at least 60 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, 2024

UniVision: A Unified Framework for Vision-Centric 3D Perception.

Yu Hong, Qian Liu, Huayuan Cheng, Danjiao Ma, Hang Dai, Yu Wang, Guangzhi Cao, Yong Ding

CoRR, 2024

2023

Automatic Detection of Tooth-Gingiva Trim Lines on Dental Surfaces.

Geng Chen, Jie Qin, Boulbaba Ben Amor, Weiming Zhou, Hang Dai, Tao Zhou, Heyuan Huang, Ling Shao

IEEE Trans. Medical Imaging, November, 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., September, 2023

Automatic Schelling Point Detection From Meshes.

Geng Chen, Hang Dai, Tao Zhou, Jianbing Shen, Ling Shao

IEEE Trans. Vis. Comput. Graph., June, 2023

Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers.

Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong

CoRR, 2023

Pseudo-Stereo++: Cycled Generative Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving.

Ahmed Elhagry, Hang Dai, Abdulmotaleb El-Saddik

IROS, 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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Laplacian ICP for Progressive Registration of 3D Human Head Meshes.

Nick E. Pears, Hang Dai, William A. P. Smith, Hao Sun

Proceedings of the 17th IEEE International Conference on Automatic Face and Gesture Recognition, 2023

MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving.

Jiale Li, Hang Dai, Hao Han, Yong Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers.

Zhou Huang, Hang Dai, Tian-Zhu Xiang, Shuo Wang, Huai-Xin Chen, Jie Qin, Huan Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Resolution Iterative Feedback Network for Camouflaged Object Detection.

Xiaobin Hu, Shuo Wang, Xuebin Qin, Hang Dai, Wenqi Ren, Donghao Luo, Ying Tai, Ling Shao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

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

Semi-Supervised Cross-Modal Salient Object Detection with U-Structure Networks.

Yunqing Bao, Hang Dai, Abdulmotaleb El-Saddik

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

CoRR, 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

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

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

Proceedings of the IEEE International Smart Cities Conference, 2022

Highly Accurate Dichotomous Image Segmentation.

Xuebin Qin, Hang Dai, Xiaobin Hu, Deng-Ping Fan, Ling Shao, Luc Van Gool

Proceedings of the Computer Vision - ECCV 2022, 2022

Self-Distillation for Robust LiDAR Semantic Segmentation in Autonomous Driving.

Jiale Li, Hang Dai, Yong Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

Cross-Modality Knowledge Distillation Network for Monocular 3D Object Detection.

Yu Hong, Hang Dai, Yong Ding

Proceedings of the Computer Vision - ECCV 2022, 2022

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving.

Yi-Nan Chen, Hang Dai, Yong Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Convolutional Point Transformer.

Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith

Proceedings of the Computer Vision - ACCV 2022 Workshops, 2022

2021

CpT: Convolutional Point Transformer for 3D Point Cloud Processing.

Chaitanya Kaul, Joshua Mitton, Hang Dai, Roderick Murray-Smith

CoRR, 2021

Adversarially robust deepfake media detection using fused convolutional neural network predictions.

Sohail Ahmed Khan, Alessandro Artusi, Hang Dai

CoRR, 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, Ling Shao

IEEE Access, 2021

A Human Ear Reconstruction Autoencoder.

Hao Sun, Nick E. Pears, Hang Dai

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder.

Jiale Li, Hang Dai, Ling Shao, Yong Ding

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud.

Jiale Li, Hang Dai, Ling Shao, Yong Ding

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Video Transformer for Deepfake Detection with Incremental Learning.

Sohail Ahmed Khan, Hang Dai

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Focusnet++: Attentive Aggregated Transformations For Efficient And Accurate Medical Image Segmentation.

Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

M3DSSD: Monocular 3D Single Stage Object Detector.

Shujie Luo, Hang Dai, Ling Shao, Yong Ding

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2020

Statistical Modeling of Craniofacial Shape and Texture.

Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan

Int. J. Comput. Vis., 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, Ling Shao

CoRR, 2020

A Tri-Attention Neural Network Model-BasedRecommendation.

Nanxin Wang, Libin Yang, Yu Zheng, Xiaoyan Cai, Xin Mei, Hang Dai

Complex., 2020

Nubeam-dedup: a fast and RAM-efficient tool to de-duplicate sequencing reads without mapping.

Hang Dai, Yongtao Guan

Bioinform., 2020

Penalizing Small Errors Using an Adaptive Logarithmic Loss.

Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

C4AV: Learning Cross-Modal Representations from Transformers.

Shujie Luo, Hang Dai, Ling Shao, Yong Ding

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Commands for Autonomous Vehicles by Progressively Stacking Visual-Linguistic Representations.

Hang Dai, Shujie Luo, Yong Ding, Ling Shao

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Intelligent Modeling and Optimization for Smart Energy Hub.

Tianhao Liu, Dongdong Zhang, Hang Dai, Thomas Wu

IEEE Trans. Ind. Electron., 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

ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation.

Zhijie Zhang, Huazhu Fu, Hang Dai, Jianbing Shen, Yanwei Pang, Ling Shao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

PointAE: Point Auto-Encoder for 3D Statistical Shape and Texture Modelling.

Hang Dai, Ling Shao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Statistical modelling of craniofacial shape.

Hang Dai

PhD thesis, 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

IEEE Trans. Ind. Electron., 2018

A LSTM Based Model for Personalized Context-Aware Citation Recommendation.

Libin Yang, Yu Zheng, Xiaoyan Cai, Hang Dai, Dejun Mu, Lantian Guo, Tao Dai

IEEE Access, 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 Novel Personalized Citation Recommendation Approach Based on GAN.

Ye Zhang, Libin Yang, Xiaoyan Cai, Hang Dai

Proceedings of the Foundations of Intelligent Systems - 24th International Symposium, 2018

Symmetric Shape Morphing for 3D Face and Head Modelling.

Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

A Data-Augmented 3D Morphable Model of the Ear.

Hang Dai, Nick E. Pears, William A. P. Smith

Proceedings of the 13th IEEE International Conference on Automatic Face & Gesture Recognition, 2018

Non-rigid 3D Shape Registration Using an Adaptive Template.

Hang Dai, Nick E. Pears, William A. P. Smith

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Modelling of Orthogonal Craniofacial Profiles.

Hang Dai, Nick E. Pears, Christian Duncan

J. Imaging, 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

Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification.

Yong Ding, Xinyu Zhao, Zhi Zhang, Hang Dai

IEICE Trans. Inf. Syst., 2017

A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis.

Hang Dai, Nick E. Pears, Christian Duncan

Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Symmetry-Factored Statistical Modelling of Craniofacial Shape.

Hang Dai, William A. P. Smith, Nick E. Pears, Christian Duncan

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A 3D Morphable Model of Craniofacial Shape and Texture Variation.

Hang Dai, Nick E. Pears, William A. P. Smith, Christian Duncan

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Functional Faces: Groupwise Dense Correspondence Using Functional Maps.

Chao Zhang, William A. P. Smith, Arnaud Dessein, Nick E. Pears, Hang Dai

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2011

The Color Components' Exchanging on Different Color Spaces and the Using for Image Segmentation.

Xi Li, Hang Dai

Proceedings of the 2nd International Symposium on Intelligence Information Processing and Trusted Computing, 2011