2025

Liu, Q., Gu, X., Henderson, P. , Dai, H. and Deligianni, F. (2025) Certainty-guided cross contrastive learning for semi-supervised medical image segmentation. IEEE Transactions on Biomedical Engineering, (Accepted for Publication)

Tragakis, A., Kaul, C., Mitchell, K. J. , Dai, H., Murray-Smith, R. and Faccio, D. (2025) IGAF: Incremental Guided Attention Fusion for depth super-resolution. Sensors, 25(1), 24. (doi: 10.3390/s25010024) (PMID:39796813) (PMCID:PMC11723017)

2024

Liu, Q., Henderson, P. , Gu, X., Dai, H. and Deligianni, F. (2024) Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, AZ, USA, 28 February - 4 March 2025, (Accepted for Publication)

Li, J., Dai, H., Wang, Y., Cao, G., Luo, C. and Ding, Y. (2024) Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024, pp. 7710-7717. ISBN 9798350384581 (doi: 10.1109/icra57147.2024.10610604)

Tang, J., Lu, C., Liu, Z., Li, J., Dai, H. and Ding, Y. (2024) CTVSR: Collaborative Spatial–Temporal Transformer for Video Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, 34(6), pp. 5018-5032. (doi: 10.1109/tcsvt.2023.3340439)

Tragakis, A., Liu, Q., Kaul, C., Kumar Roy, S., Dai, H., Deligianni, F. , Murray-Smith, R. and Faccio, D. (2024) GLFNet: Global-Local (Frequency) Filter Networks for efficient Medical Image Segmentation. In: 21st IEEE International Symposium on Biomedical Imaging, Athens, Greece, 27-30 May 2024, (Accepted for Publication)

2023

Huang, Z., Dai, H., Xiang, T.-Z., Wang, S., Chen, H.-X., Qin, J. and Xiong, H. (2023) Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), Vancouver, Canada, 18-22 June 2023, pp. 5557-5566. ISBN 9798350301298 (doi: 10.1109/CVPR52729.2023.00538)

Li, J., Dai, H., Han, H. and Ding, Y. (2023) MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), Vancouver, Canada, 18-22 June 2023, pp. 21694-21704. ISBN 9798350301298 (doi: 10.1109/CVPR52729.2023.02078)

Hu, X., Wang, S., Qin, X., Dai, H., Ren, W., Luo, D., Tai, Y. and Shao, L. (2023) High-resolution Iterative Feedback Network for Camouflaged Object Detection. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, pp. 881-889. ISBN 9781577358800 (doi: 10.1609/aaai.v37i1.25167)

Chen, G., Qin, J., Amor, B. B., Zhou, W., Dai, H., Zhou, T., Huang, H. and Shao, L. (2023) Automatic detection of tooth-gingiva trim lines on dental surfaces. IEEE Transactions on Medical Imaging, (doi: 10.1109/tmi.2023.3263161) (PMID:37015112) (Early Online Publication)

2022

Hong, Y., Dai, H. and Ding, Y. (2022) Cross-Modality Knowledge Distillation network for monocular 3D object detection. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13670. Springer, pp. 87-104. ISBN 9783031200809 (doi: 10.1007/978-3-031-20080-9_6)

Qin, X., Dai, H., Hu, X., Fan, D., Shao, L. and Gool, L. V. (2022) Highly accurate dichotomous image segmentation. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13678. Springer, pp. 38-56. ISBN 9783031197970 (doi: 10.1007/978-3-031-19797-0_3)

Li, J., Dai, H. and Ding, Y. (2022) Self-distillation for robust LiDAR semantic segmentation in autonomous driving. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13688. Springer, pp. 659-676. ISBN 9783031198151 (doi: 10.1007/978-3-031-19815-1_38)

Chen, Y.-N., Dai, H. and Ding, Y. (2022) Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 Jun 2022, pp. 877-887. ISBN 9781665469463 (doi: 10.1109/CVPR52688.2022.00096)

Huang, Z., Xiang, T.-Z., Chen, H.-X. and Dai, H. (2022) Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 191, pp. 290-301. (doi: 10.1016/j.isprsjprs.2022.07.014)

Chen, G., Dai, H., Zhou, T., Shen, J. and Shao, L. (2022) Automatic Schelling point detection from meshes. IEEE Transactions on Visualization and Computer Graphics, 29(6), pp. 2926-2939. (doi: 10.1109/TVCG.2022.3144143) (PMID:35044917)

Duncan, C., Pears, N. E., Dai, H., Smith, W. A. P. and O′Higgins, P. (2022) Applications of 3D photography in craniofacial surgery. Journal of Pediatric Neurosciences, 17(5), pp. 21-28. (doi: 10.4103/jpn.JPN_48_22) (PMID:36388007) (PMCID:PMC9648652)

2021

Luo, S., Dai, H., Shao, L. and Ding, Y. (2021) M3DSSD: Monocular 3D Single Stage Object Detector. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20-25 Jun 2021, pp. 6141-6150. ISBN 9781665445092 (doi: 10.1109/CVPR46437.2021.00608)

Khan, S. A. and Dai, H. (2021) Video Transformer for Deepfake Detection with Incremental Learning. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 1821-1828. ISBN 9781450386517 (doi: 10.1145/3474085.3475332)

Li, J., Dai, H., Shao, L. and Ding, Y. (2021) Anchor-Free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 553-562. ISBN 9781450386517 (doi: 10.1145/3474085.3475208)

Li, J., Dai, H., Shao, L. and Ding, Y. (2021) From Voxel to Point: IoU-Guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 4622-4631. ISBN 9781450386517 (doi: 10.1145/3474085.3475314)

Kaul, C., Pears, N., Dai, H., Murray-Smith, R. and Manandhar, S. (2021) Focusnet++: attentive aggregated transformations for efficient and accurate medical image segmentation. In: IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021, pp. 1042-1046. ISBN 9781665412469 (doi: 10.1109/ISBI48211.2021.9433918)

Dai, H., Luo, S., Ding, Y. and Shao, L. (2021) Commands for autonomous vehicles by progressively stacking visual-linguistic representations. In: Bartoli, A. and Fusiello, A. (eds.) Computer Vision – ECCV 2020 Workshops. Series: Lecture notes in computer science, 12536. Springer, pp. 27-32. ISBN 9783030660963 (doi: 10.1007/978-3-030-66096-3_2)

Luo, S., Dai, H., Shao, L. and Ding, Y. (2021) C4AV: learning cross-modal representations from transformers. In: Bartoli, A. and Fusiello, A. (eds.) Computer Vision – ECCV 2020 Workshops. Series: Lecture notes in computer science, 12536. Springer, pp. 33-38. ISBN 9783030660963 (doi: 10.1007/978-3-030-66096-3_3)

2020

Dai, H., Pears, N., Huber, P. and Smith, W. A. P. (2020) 3D morphable models: the face, ear and head. In: Liu, Y., Pears, N., Rosin, P. L. and Huber, P. (eds.) 3D Imaging, Analysis and Applications. Springer, pp. 463-512. ISBN 9783030440701 (doi: 10.1007/978-3-030-44070-1_10)

Dai, H., Pears, N., Smith, W. and Duncan, C. (2020) Statistical modeling of craniofacial shape and texture. International Journal of Computer Vision, 128(2), pp. 547-571. (doi: 10.1007/s11263-019-01260-7)

Articles

Liu, Q., Gu, X., Henderson, P. , Dai, H. and Deligianni, F. (2025) Certainty-guided cross contrastive learning for semi-supervised medical image segmentation. IEEE Transactions on Biomedical Engineering, (Accepted for Publication)

Tragakis, A., Kaul, C., Mitchell, K. J. , Dai, H., Murray-Smith, R. and Faccio, D. (2025) IGAF: Incremental Guided Attention Fusion for depth super-resolution. Sensors, 25(1), 24. (doi: 10.3390/s25010024) (PMID:39796813) (PMCID:PMC11723017)

Tang, J., Lu, C., Liu, Z., Li, J., Dai, H. and Ding, Y. (2024) CTVSR: Collaborative Spatial–Temporal Transformer for Video Super-Resolution. IEEE Transactions on Circuits and Systems for Video Technology, 34(6), pp. 5018-5032. (doi: 10.1109/tcsvt.2023.3340439)

Chen, G., Qin, J., Amor, B. B., Zhou, W., Dai, H., Zhou, T., Huang, H. and Shao, L. (2023) Automatic detection of tooth-gingiva trim lines on dental surfaces. IEEE Transactions on Medical Imaging, (doi: 10.1109/tmi.2023.3263161) (PMID:37015112) (Early Online Publication)

Huang, Z., Xiang, T.-Z., Chen, H.-X. and Dai, H. (2022) Scribble-based boundary-aware network for weakly supervised salient object detection in remote sensing images. ISPRS Journal of Photogrammetry and Remote Sensing, 191, pp. 290-301. (doi: 10.1016/j.isprsjprs.2022.07.014)

Chen, G., Dai, H., Zhou, T., Shen, J. and Shao, L. (2022) Automatic Schelling point detection from meshes. IEEE Transactions on Visualization and Computer Graphics, 29(6), pp. 2926-2939. (doi: 10.1109/TVCG.2022.3144143) (PMID:35044917)

Duncan, C., Pears, N. E., Dai, H., Smith, W. A. P. and O′Higgins, P. (2022) Applications of 3D photography in craniofacial surgery. Journal of Pediatric Neurosciences, 17(5), pp. 21-28. (doi: 10.4103/jpn.JPN_48_22) (PMID:36388007) (PMCID:PMC9648652)

Dai, H., Pears, N., Smith, W. and Duncan, C. (2020) Statistical modeling of craniofacial shape and texture. International Journal of Computer Vision, 128(2), pp. 547-571. (doi: 10.1007/s11263-019-01260-7)

Book Sections

Hong, Y., Dai, H. and Ding, Y. (2022) Cross-Modality Knowledge Distillation network for monocular 3D object detection. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13670. Springer, pp. 87-104. ISBN 9783031200809 (doi: 10.1007/978-3-031-20080-9_6)

Qin, X., Dai, H., Hu, X., Fan, D., Shao, L. and Gool, L. V. (2022) Highly accurate dichotomous image segmentation. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13678. Springer, pp. 38-56. ISBN 9783031197970 (doi: 10.1007/978-3-031-19797-0_3)

Li, J., Dai, H. and Ding, Y. (2022) Self-distillation for robust LiDAR semantic segmentation in autonomous driving. In: Avidan, S., Brostow, G., Cissé, M., Farinella, G. M. and Hassner, T. (eds.) Computer Vision – ECCV 2022. Series: Lecture notes in computer science, 13688. Springer, pp. 659-676. ISBN 9783031198151 (doi: 10.1007/978-3-031-19815-1_38)

Dai, H., Luo, S., Ding, Y. and Shao, L. (2021) Commands for autonomous vehicles by progressively stacking visual-linguistic representations. In: Bartoli, A. and Fusiello, A. (eds.) Computer Vision – ECCV 2020 Workshops. Series: Lecture notes in computer science, 12536. Springer, pp. 27-32. ISBN 9783030660963 (doi: 10.1007/978-3-030-66096-3_2)

Luo, S., Dai, H., Shao, L. and Ding, Y. (2021) C4AV: learning cross-modal representations from transformers. In: Bartoli, A. and Fusiello, A. (eds.) Computer Vision – ECCV 2020 Workshops. Series: Lecture notes in computer science, 12536. Springer, pp. 33-38. ISBN 9783030660963 (doi: 10.1007/978-3-030-66096-3_3)

Dai, H., Pears, N., Huber, P. and Smith, W. A. P. (2020) 3D morphable models: the face, ear and head. In: Liu, Y., Pears, N., Rosin, P. L. and Huber, P. (eds.) 3D Imaging, Analysis and Applications. Springer, pp. 463-512. ISBN 9783030440701 (doi: 10.1007/978-3-030-44070-1_10)

Conference Proceedings

Liu, Q., Henderson, P. , Gu, X., Dai, H. and Deligianni, F. (2024) Learning Semi-Supervised Medical Image Segmentation from Spatial Registration. In: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, AZ, USA, 28 February - 4 March 2025, (Accepted for Publication)

Li, J., Dai, H., Wang, Y., Cao, G., Luo, C. and Ding, Y. (2024) Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation. In: 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 13-17 May 2024, pp. 7710-7717. ISBN 9798350384581 (doi: 10.1109/icra57147.2024.10610604)

Tragakis, A., Liu, Q., Kaul, C., Kumar Roy, S., Dai, H., Deligianni, F. , Murray-Smith, R. and Faccio, D. (2024) GLFNet: Global-Local (Frequency) Filter Networks for efficient Medical Image Segmentation. In: 21st IEEE International Symposium on Biomedical Imaging, Athens, Greece, 27-30 May 2024, (Accepted for Publication)

Huang, Z., Dai, H., Xiang, T.-Z., Wang, S., Chen, H.-X., Qin, J. and Xiong, H. (2023) Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), Vancouver, Canada, 18-22 June 2023, pp. 5557-5566. ISBN 9798350301298 (doi: 10.1109/CVPR52729.2023.00538)

Li, J., Dai, H., Han, H. and Ding, Y. (2023) MSeg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving. In: IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR 2023), Vancouver, Canada, 18-22 June 2023, pp. 21694-21704. ISBN 9798350301298 (doi: 10.1109/CVPR52729.2023.02078)

Hu, X., Wang, S., Qin, X., Dai, H., Ren, W., Luo, D., Tai, Y. and Shao, L. (2023) High-resolution Iterative Feedback Network for Camouflaged Object Detection. In: 37th AAAI Conference on Artificial Intelligence (AAAI-23), Washington, DC, USA, 7-14 Feb 2023, pp. 881-889. ISBN 9781577358800 (doi: 10.1609/aaai.v37i1.25167)

Chen, Y.-N., Dai, H. and Ding, Y. (2022) Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, LA, USA, 18-24 Jun 2022, pp. 877-887. ISBN 9781665469463 (doi: 10.1109/CVPR52688.2022.00096)

Luo, S., Dai, H., Shao, L. and Ding, Y. (2021) M3DSSD: Monocular 3D Single Stage Object Detector. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA, 20-25 Jun 2021, pp. 6141-6150. ISBN 9781665445092 (doi: 10.1109/CVPR46437.2021.00608)

Khan, S. A. and Dai, H. (2021) Video Transformer for Deepfake Detection with Incremental Learning. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 1821-1828. ISBN 9781450386517 (doi: 10.1145/3474085.3475332)

Li, J., Dai, H., Shao, L. and Ding, Y. (2021) Anchor-Free 3D Single Stage Detector with Mask-Guided Attention for Point Cloud. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 553-562. ISBN 9781450386517 (doi: 10.1145/3474085.3475208)

Li, J., Dai, H., Shao, L. and Ding, Y. (2021) From Voxel to Point: IoU-Guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder. In: MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Online, 20-24 Oct 2021, pp. 4622-4631. ISBN 9781450386517 (doi: 10.1145/3474085.3475314)

Kaul, C., Pears, N., Dai, H., Murray-Smith, R. and Manandhar, S. (2021) Focusnet++: attentive aggregated transformations for efficient and accurate medical image segmentation. In: IEEE 18th International Symposium on Biomedical Imaging (ISBI), Nice, France, 13-16 April 2021, pp. 1042-1046. ISBN 9781665412469 (doi: 10.1109/ISBI48211.2021.9433918)