Dr Yukun Lai

2021

• Jiang, Z.et al. 2021. Deep edge map guided depth super resolution. Signal Processing: Image Communication 90, article number: 116040. (10.1016/j.image.2020.116040)

2020

• Dyke, R. M.et al. 2020. SHREC'20: Shape correspondence with non-isometric deformations. Computers and Graphics 92, pp. 28-43. (10.1016/j.cag.2020.08.008)
• Langenfeld, F.et al. 2020. SHREC2020 track: multi-domain protein shape retrieval challenge. Computers and Graphics 91, pp. 189-198. (10.1016/j.cag.2020.07.013)
• Qiao, Y.et al. 2020. Synthesizing mesh deformation sequences with bidirectional LSTM. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2020.3028961)
• Cui, M.et al. 2020. 3D computational modeling and perceptual analysis of kinetic depth effects. Computational Visual Media 6, pp. 265-277. (10.1007/s41095-020-0180-x)
• Htike, H. M.et al. 2020. Ability of head-mounted display technology to improve mobility in people with low vision: a systematic review. Translational Vision Science & Technology 9(10), article number: 26. (10.1167/tvst.9.10.26)
• Xie, Q.et al. 2020. MLCVNet: multi-level context VoteNet for 3D object detection. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA, 13-19 June 20202020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, (10.1109/CVPR42600.2020.01046)
• Qiao, Y.et al. 2020. Learning on 3D meshes with laplacian encoding and pooling. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2020.3014449)
• Zhao, H.et al. 2020. Automatic semantic style transfer using deep convolutional neural networks and soft masks. Visual Computer 36, pp. 1307-1324. (10.1007/s00371-019-01726-2)
• Yang, S.et al. 2020. Noise-resilient reconstruction of panoramas and 3D scenes using robot-mounted unsynchronized commodity RGB-D cameras. ACM Transactions on Graphics 39(5), article number: 152. (10.1145/3389412)
• Liu, Y.et al. 2020. Ranking-preserving cross-source learning for image retargeting quality assessment. IEEE Transactions on Pattern Analysis and Machine Intelligence 42(7), pp. 1798-1805. (10.1109/TPAMI.2019.2923998)
• Hu, S., Cai, J. and Lai, Y. 2020. Semantic labeling and instance segmentation of 3D point clouds using patch context analysis and multiscale processing. IEEE Transactions on Visualization and Computer Graphics 26(7), pp. 2485-2498. (10.1109/TVCG.2018.2889944)
• Xiao, Y.et al. 2020. A survey on deep geometry learning: from a representation perspective. Computational Visual Media 6(2), pp. 113-133. (10.1007/s41095-020-0174-8)
• Zhao, H.et al. 2020. Adaptive gradient-based block compressive sensing with sparsity for noisy images. Multimedia Tools and Applications 79, pp. 14825-14847. (10.1007/s11042-019-7647-8)
• Yang, J.et al. 2020. Spatio-temporal reconstruction for 3D motion recovery. IEEE Transactions on Circuits and Systems for Video Technology 30(6), pp. 1583 -1596. (10.1109/TCSVT.2019.2907324)
• Zhang, J.et al. 2020. Automatic 3D tooth segmentation using convolutional neural networks in harmonic parameter space. Graphical Models 109, article number: 101071. (10.1016/j.gmod.2020.101071)
• Dongyu, S.et al. 2020. WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Transactions on Multimedia 22(5), pp. 1358-1371. (10.1109/TMM.2019.2939744)
• Bo, L., Lai, Y. and Rosin, P. L. 2020. Sparse graph regularized mesh color edit propagation. IEEE Transactions on Image Processing 29, pp. 5408-5419. (10.1109/TIP.2020.2980962)
• Yi, R.et al. 2020. Feature-aware uniform tessellations on video manifold for content-sensitive supervoxels. IEEE Transactions on Pattern Analysis and Machine Intelligence (10.1109/TPAMI.2020.2979714)
• Zhang, Y., Lai, Y. and Zhang, F. 2020. Content-preserving image stitching with piecewise rectangular boundary constraints. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2020.2965097)
• Du, X.et al. 2020. An efficient LSTM network for emotion recognition from multichannel EEG signals. IEEE Transactions on Affective Computing (10.1109/TAFFC.2020.3013711)
• Yang, J.et al. 2020. Learning to reconstruct and understand indoor scenes from sparse views. IEEE Transactions on Image Processing 29, pp. 5753 -5766. (10.1109/TIP.2020.2986712)
• Yi, R.et al. 2020. Line drawings for face portraits from photos using global and local structure based GANs. IEEE Transactions on Pattern Analysis and Machine Intelligence
• Yuan, Y.et al. 2020. Mesh variational autoencoders with edge contraction pooling. Presented at: CVPR Workshop on Learning 3D Generative Models, Seattle, WA, USA, 14 June 2020.
• Yi, R.et al. 2020. Unpaired portrait drawing generation via asymmetric cycle mapping. Presented at: Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Washington, USA, 16-18 June 2020.
• Dyke, R. M.et al. 2020. SHREC'20: Non-rigid shape correspondence of physically-based deformations. Presented at: Eurographics Workshop on 3D Object Retrieval, Graz, Austria, 4-5 September 2020.
• Liu, F.et al. 2020. SceneSketcher: fine-grained image retrieval with scene sketches. Presented at: 2020 European Conference on Computer Vision (ECCV), Glasgow, Scotland, 23-28 August 2020.
• Li, K.et al. 2020. PoNA: Pose-guided Non-local Attention for human pose transfer. IEEE Transactions on Image Processing
• Xu, S. and Lai, Y. 2020. Simultaneous multi-attribute image-to-image translation using parallel latent transform networks. Computer Graphics Forum 29(7)

2019

• Gao, L.et al. 2019. SDM-NET: Deep generative network for structured deformable mesh. ACM Transactions on Graphics 38, article number: 243. (10.1145/3355089.3356488)
• Li, K.et al. 2019. Generating 3D faces using multi-column graph convolutional networks. Computer Graphics Forum 38(7), pp. 215-224.
• Zhang, S.et al. 2019. Active arrangement of small objects in 3D indoor scenes. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2019.2949295)
• Yang, J.et al. 2019. Global 3D non-rigid registration of deformable objects using a single RGB-D camera. IEEE Transactions on Image Processing 28(10), pp. 4746 -4761. (10.1109/TIP.2019.2909197)
• Li, B.et al. 2019. Automatic example-based image colourisation using location-aware cross-scale matching. IEEE Transactions on Image Processing 28(9), pp. 4606-4619. (10.1109/TIP.2019.2912291)
• Gao, L.et al. 2019. Sparse data driven mesh deformation. IEEE Transactions on Visualization and Computer Graphics (10.1109/TVCG.2019.2941200)
• Cheng, M.et al. 2019. Structure-preserving neural style transfer. IEEE Transactions on Image Processing 29, pp. 909-920.
• Yang, S.et al. 2019. HeteroFusion: Dense scene reconstruction integrating multi-sensors. IEEE Transactions on Visualization and Computer Graphics 28(3), pp. 181-197. (10.1109/TVCG.2019.2919619)
• Yuan, Y.et al. 2019. Data-driven weight optimization for real-time mesh deformation. Graphical Models 104, article number: 101037. (10.1016/j.gmod.2019.101037)
• Cai, J.et al. 2019. Deep point-based scene labeling with depth mapping and geometric patch feature encoding. Graphical Models 104, article number: 101033. (10.1016/j.gmod.2019.101033)
• Krumhuber, E. G.et al. 2019. When facial expressions do and do not signal minds: the role of face inversion, expression dynamism, and emotion type. Emotion 19(4), pp. 746-750. (10.1037/emo0000475)
• Zhang, Y., Lai, Y. and Zhang, F. 2019. Stereoscopic image stitching with rectangular boundaries. Visual Computer 35(6-8), pp. 823-835. (10.1007/s00371-019-01694-7)
• Zhang, S.et al. 2019. Stylistic scene enhancement GAN: Mixed stylistic enhancement generation for 3D indoor scenes. Visual Computer 35(6), pp. 1157-1169. (10.1007/s00371-019-01691-w)
• Zhao, H., Rosin, P. and Lai, Y. 2019. Block compressive sensing for solder joint images with wavelet packet thresholding. IEEE Transactions on Components and Packaging Technologies 9(6), pp. 1190-1199. (10.1109/TCPMT.2019.2907106)
• Yang, S.et al. 2019. Probabilistic projective association and semantic guided relocalization for dense reconstruction. Presented at: IEEE International Conference on Robotics and Automation (ICRA), Montreal, Canada, 20-24 May 2019.
• Dyke, R.et al. 2019. Non-rigid registration under anisotropic deformations. Computer Aided Geometric Design 71, pp. 142-156. (10.1016/j.cagd.2019.04.014)
• Gao, L.et al. 2019. PRS-Net: planar reflective symmetry detection net for 3D models. IEEE Transactions on Visualization and Computer Graphics
• Wang, T.et al. 2019. Consistent segment-wise matching with multi-layer graphs. Computer Aided Geometric Design 70, pp. 31-45. (10.1016/j.cagd.2019.04.003)
• Dyke, R.et al. 2019. SHREC-19: Shape correspondence with isometric and non-isometric deformations. Presented at: Eurographics Workshop on 3D Object Retrieval, Genova, Italy, 5-6 May 2019.
• Wu, X.et al. 2019. IP102: A large-scale benchmark dataset for insect pest recognition. Presented at: CVPR 2019, Long Beach, CA, USA, 16-20 June 2019.
• Wu, Z.et al. 2019. Global as-conformal-as-possible non-rigid registration of multi-view scans. Presented at: IEEE International Conference on Multimedia and Expo, Shanghai, China, 8-12 July 2019.
• Yuan, C.et al. 2019. 3D face representation and reconstruction with multi-scale graph convolutional autoencoders. Presented at: IIEEE International Conference on Multimedia and Expo (ICME) 2019, Shanghai, China, 8-12 July 2019.
• Liu, Y.et al. 2019. A new learning approach to malware classification using discriminative feature extraction. IEEE Access 7, pp. 13015-13023. (10.1109/ACCESS.2019.2892500)
• Yi, R.et al. 2019. APDrawingGAN: Generating artistic portrait drawings from face photos with hierarchical GANs. Presented at: CVPR 2019, Long Beach, California, USA, 16-20 June 2019.
• Liu, F.et al. 2019. SketchGAN: Joint sketch completion and recognition with generative adversarial network. Presented at: CVPR, Long Beach, California, USA, 16-20 June 2019.
• Yao, X.et al. 2019. Attention-aware polarity sensitive embedding for affective image retrieval. Presented at: IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October - 2 November 2019.
• Wu, X.et al. 2019. Joint acne image grading and counting via label distribution learning. Presented at: IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October - 2 November 2019.
• Wang, T.et al. 2019. Robust and flexible puzzle solving with corner-based cycle consistent correspondences. Presented at: EG UK Computer Graphics & Visual Computing, Bangor, UK, 12-13 September 2019 Presented at Tam, G. K. L. and Roberts, J. C. eds.EG UK Computer Graphics & Visual Computing. The Eurographics Association
• Huang, J.et al. 2019. ClusterSLAM: A SLAM backend for simultaneous rigid body clustering and motion estimation. Presented at: IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October - 2 November 2019.
• Meng, H.et al. 2019. VV-NET: Voxel VAE Net with group convolutions for point cloud segmentation. Presented at: IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October - 2 November 2019.

2018

• Gao, L.et al. 2018. Automatic unpaired shape deformation transfer. ACM Transactions on Graphics 37(6), article number: 237. (10.1145/3272127.3275028)
• Jufeng, Y.et al. 2018. Weakly supervised coupled networks for visual sentiment analysis. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Lake Salt City, UT, USA, 18-22 Jun 2018IEEE Computer Society Conference on Computer Vision and Pattern Recognition workshops.
• Lai, Y.et al. 2018. An image-based approach for detecting faces carved in heritage monuments. Presented at: EUROGRAPHICS Workshop on Graphics and Cultural Heritage, Vienna, Austria, 12-15 Nov 2018Eurographics Workshop on Graphics and Cultural Heritage. The Eurographics Association pp. 215-219.
• Yi, R., Yong-Jin, L. and Lai, Y. 2018. Evaluation on the compactness of supervoxels. Presented at: IEEE International Conference on Image Processing, Athens, Greece, 7-10 October 20182018 25th IEEE International Conference on Image Processing (ICIP). IEEE, (10.1109/ICIP.2018.8451659)
• Han, Y.et al. 2018. CFD: a collaborative feature difference method for spontaneous micro-expression spotting. Presented at: IEEE International Conference on Image Processing, Athens, Greece, 7-10 October 20182018 25th IEEE International Conference on Image Processing (ICIP). IEEE pp. 1942-1946., (10.1109/ICIP.2018.8451065)
• Rosin, P.et al. 2018. Virtual recovery of content from x-ray micro-tomography scans of damaged historic scrolls. Scientific Reports 8, article number: 11901. (10.1038/s41598-018-29037-x)
• Liu, Y., Li, B. and Lai, Y. 2018. Sparse MDMO: learning a discriminative feature for micro-expression recognition. IEEE Transactions on Affective Computing (10.1109/TAFFC.2018.2854166)
• Yang, J.et al. 2018. Recognition from web data: A progressive filtering approach. IEEE Transactions on Image Processing 27(11), pp. 5303-5315. (10.1109/TIP.2018.2855449)
• Qiao, Y.et al. 2018. SF-Net: Learning scene flow from RGB-D images with CNNs. Presented at: 29th British Machine Vision Conference (BMVC), Newcastle, UK, 3-6 September 2018.
• Wan, L.et al. 2018. Scribble-based gradient mesh recoloring. Multimedia Tools and Applications 77(11), pp. 13753-13771. (10.1007/s11042-017-4987-0)
• Liang, Y.et al. 2018. Knowledge graph construction with structure and parameter learning for indoor scene design. Computational Visual Media 4(2), pp. 123-137. (10.1007/s41095-018-0110-3)
• Yang, J.et al. 2018. Biharmonic deformation transfer with automatic key point selection. Graphical Models 98, pp. 1-13. (10.1016/j.gmod.2018.05.003)
• Li, K.et al. 2018. Robust non-rigid registration with reweighted position and transformation sparsity. IEEE Transactions on Visualization and Computer Graphics 25(6), pp. 2255-2269. (10.1109/TVCG.2018.2832136)
• Liu, C.et al. 2018. Robust virtual unrolling of historical parchment XMT images. IEEE Transactions on Image Processing 27(4), pp. 1914-1926. (10.1109/TIP.2017.2783626)
• Chen, Y., Lai, Y. and Liu, Y. 2018. CartoonGAN: generative adversarial networks for photo cartoonization. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Lake Salt City, USA, 18-22 Jun 2018.
• Yi, R., Liu, Y. and Lai, Y. 2018. Content-sensitive Supervoxels via uniform tessellations on video manifolds. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Lake Salt City, USA, 18-22 June 2018.
• Tan, Q.et al. 2018. Variational autoencoders for deforming 3D mesh models. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Lake Salt City, USA, 18-22 Jun 2018.
• Wu, Q.et al. 2018. Alive caricature from 2D to 3D. Presented at: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Lake Salt City, USA, 18-22 Jun 2018.
• Langenfeld, F.et al. 2018. SHREC 2018 - Protein Shape Retrieval. Presented at: EG workshop 3D Object Retrieval, Delft, the Netherlands, 16 April 2018.
• Wang, T.et al. 2018. Consistent segment-wise matching with multi-layer graphs. Presented at: EG UK Computer Graphics & Visual Computing, Swansea, UK, 13-14 September 2018.
• Chen, S.et al. 2018. Real-time 3D face reconstruction and gaze tracking for virtual reality. Presented at: IEEE Conference on Virtual Reality and 3D User Interfaces, Reutlingen, Germany, 18-22 March 2018. pp. -.

2017

• Gao, L.et al. 2017. Data-driven shape interpolation and morphing editing. Computer Graphics Forum 36(8), pp. 19-31. (10.1111/cgf.12991)
• Bo, L., Lai, Y. and Rosin, P. L. 2017. Example-based image colorization via automatic feature selection and fusion. Neurocomputing 266, pp. 687-698. (10.1016/j.neucom.2017.05.083)
• Li, B.et al. 2017. Example-based image colorization using locality consistent sparse representation. IEEE Transactions on Image Processing 26(11), pp. 516-525. (10.1109/TIP.2017.2732239)
• Li, B.et al. 2017. Online low-rank representation learning for joint multi-subspace recovery and clustering. IEEE Transactions on Image Processing 27(1), pp. 335-348. (10.1109/TIP.2017.2760510)
• Guo, D.et al. 2017. Global alignment of deformable objects captured by a single RGB-D camera. Presented at: IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, 10-14 July 20172017 IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 1554-1559., (10.1109/ICME.2017.8019318)
• Li, K.et al. 2017. 3-D motion recovery via low rank matrix restoration on articulation graphs. Presented at: IEEE International Conference on Multimedia and Expo (ICME), Hong Kong, China, 10-14 July 20172017 IEEE International Conference on Multimedia and Expo (ICME). IEEE pp. 721-726., (10.1109/ICME.2017.8019486)
• Xia, S.et al. 2017. A survey on human performance capture and animation. Journal of Computer Science and Technology 32(3), pp. 536-554. (10.1007/s11390-017-1742-y)
• Abdulmunem, A., Lai, Y. and Sun, X. 2017. 3D GLOH features for human action recognition. Presented at: International Conference on Pattern Recognition, Cancun, Mexico, 4-8 December 20162016 23rd International Conference on Pattern Recognition (ICPR). Piscataway, New Jersey: IEEE pp. 805-810., (10.1109/ICPR.2016.7899734)
• Yan, B.et al. 2017. Superlensing microscope objective lens. Applied Optics 56(11), pp. 3142-3147. (10.1364/AO.56.003142)
• Yang, C., Yong-Jin, L. and Lai, Y. 2017. Learning to rank retargeted images. Presented at: IEEE Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, USA, 21-26 July 2017.
• Chen, S.et al. 2017. Rigidity controllable as-rigid-as-possible shape deformations. Graphical Models 91, pp. 13-21. (10.1016/j.gmod.2017.02.005)
• Wang, M.et al. 2017. 3-D motion recovery via low rank matrix analysis. Presented at: IEEE International Conference on Visual Communications and Image Processing (VCIP), Chengdu, China, 27-30 November 20162016 Visual Communications and Image Processing (VCIP). IEEE pp. 1-4., (10.1109/VCIP.2016.7805473)
• Chen, Y., Lai, Y. and Liu, Y. 2017. Transforming photos to comics using convolutional neural networks. Presented at: IEEE International Conference on Image Processing (ICIP), Beijing, China, 17-20 Sep 2017.
• Rosin, P. and Lai, Y. 2017. Watercolour rendering of portraits. Presented at: PSIVT Vision meets Graphics 2017, Wuhan, China, 21 November 2017.
• Tan, Q.et al. 2017. Mesh-based autoencoders for localized deformation component analysis. Presented at: AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, 2-7 February 2018.
• Yang, J.et al. 2017. Retrieving and classifying affective Images via deep metric learning. Presented at: AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, 2-7 February 2018.

2016

• Gao, L.et al. 2016. Efficient and flexible deformation representation for data-driven surface modeling. ACM Transactions on Graphics 35(5), article number: 158. (10.1145/2908736)
• Shuai, L.et al. 2016. Color-aware surface registration. Computers and Graphics 58, pp. 31-42.
• Lin, S.et al. 2016. Fast capture of textured full-body avatar with RGB-D cameras. Visual Computer 32(6-8), pp. 681-691. (10.1007/s00371-016-1245-9)
• Li, K.et al. 2016. SPA: Sparse Photorealistic Animation using a single RGB-D camera. IEEE Transactions on Circuits and Systems for Video Technology 27(4), pp. 771-783. (10.1109/TCSVT.2016.2556419)
• Abdulmunem, A., Lai, Y. and Sun, X. 2016. Saliency guided local and global descriptors for effective action recognition. Computational Visual Media 2(1), pp. 97-106. (10.1007/s41095-016-0033-9)
• Anuar, F. M., Setchi, R. and Lai, Y. 2016. Semantic retrieval of trademarks based on conceptual similarity. IEEE Transactions on Systems Man and Cybernetics: Systems 46(2), pp. 1-14. (10.1109/TSMC.2015.2421878)
• Liu, C.et al. 2016. Recovering historical film footage by processing microtomographic images. Presented at: EuroMed 2016: Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection, Nicosia, Cyprus, 31 October -5 November 2016 Presented at Ioannides, M. et al. eds.6th International Conference, EuroMed 2016, Nicosia, Cyprus, October 31 – November 5, 2016, Proceedings, Part I. Lecture Notes in Computer Science Springer Verlag pp. 219-231., (10.1007/978-3-319-48496-9_18)

2015

• Gao, L.et al. 2015. Active exploration of large 3D model repositories. IEEE Transactions on Visualization and Computer Graphics, pp. 1390-1402. (10.1109/TVCG.2014.2369039)
• Liu, C.et al. 2015. Robust segmentation of historical parchment XMT images for virtual unrolling. Presented at: Digital Heritage, Granada, Spain, 28 Sep - 2 Oct 2015.
• Xiao, Y.et al. 2015. Optimization-based gradient mesh colour transfer. Computer Graphics Forum 34(6), pp. 123-134. (10.1111/cgf.12524)
• Rosin, P. and Lai, Y. 2015. Non-photorealistic rendering of portraits. Presented at: Expressive 2015: The Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering, Istanbul, Turkey, 20-22 June 2015.
• Chen, K., Lai, Y. and Hu, S. 2015. 3D indoor scene modeling from RGB-D data: a survey. Computational Visual Media 1(4), pp. 267-278. (10.1007/s41095-015-0029-x)
• Yang, J.et al. 2015. Sparse non-rigid registration of 3D shapes. Computer Graphics Forum 34(5), pp. 89-99. (10.1111/cgf.12699)

2014

• Wang, M.et al. 2014. Biggerpicture: data-driven image extrapolation using graph matching. ACM Transactions on Graphics 33(6), article number: 173. (10.1145/2661229.2661278)
• Chen, K.et al. 2014. Automatic semantic modeling of indoor scenes from low-quality RGB-D data using contextual information. ACM Transactions on Graphics 33(6), article number: 208. (10.1145/2661229.2661239)
• Mills, D.et al. 2014. Apocalypto: revealing lost text with XMT. Presented at: Developments in X-Ray Tomography IX, San Diego, California, August 17, 2014Proc. SPIE 9212,, Vol. 9212. Developments in X-Ray Tomography Vol. IX. San Diego, California: SPIE pp. 921210., (10.1117/12.2061956)
• Wu, J.et al. 2014. Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs. Graphical Models 76(4), pp. 202-213. (10.1016/j.gmod.2014.02.002)
• Huang, S.et al. 2014. Parametric meta-filter modeling from a single example pair. The Visual Computer 30(6-8), pp. 673-684. (10.1007/s00371-014-0973-y)
• Lai, Y. and Rosin, P. L. 2014. Efficient circular thresholding. IEEE Transactions on Image Processing 23(3), pp. 992-1001. (10.1109/TIP.2013.2297014)
• Tam, G. K. L.et al. 2014. Diffusion pruning for rapidly and robustly selecting global correspondences using local isometry. ACM Transactions on Graphics 33(1), article number: 4. (10.1145/2517967)
• Samko, O.et al. 2014. Virtual unrolling and information recovery from scanned scrolled historical documents. Pattern Recognition 47(1), pp. 248-259. (10.1016/j.patcog.2013.06.015)
• Mohd Anuar, F., Setchi, R. and Lai, Y. 2014. Trademark retrieval based on phonetic similarity. Presented at: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC), San Diego, CA, 5-8 October, 20152014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE pp. 1642-1647., (10.1109/SMC.2014.6974151)
• Tam, G. K.et al. 2014. An efficient approach to correspondences between multiple non-rigid parts. Computer graphics forum 33(5), pp. 137-146. (10.1111/cgf.12439)

2013

• Lai, Y. and Rosin, P. L. 2013. Artistic rendering enhancing global structure. The Visual Computer 30(10), pp. 1179-1193. (10.1007/s00371-013-0898-x)
• Mohd Anuar, F., Setchi, R. and Lai, Y. 2013. A conceptual model of a trademark retrieval system based on conceptual similarities. Presented at: 17th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Kitakyushu, Japan, 9 -12 September 201317th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems: Invited Session Proceedings. pp. 300-309.
• Rosin, P. L. and Lai, Y. 2013. Artistic minimal rendering with lines and blocks. Graphical Models 75(4), pp. 208-229. (10.1016/j.gmod.2013.03.004)
• Quinn, J. A.et al. 2013. Generalized anisotropic stratified surface sampling. IEEE Transactions on Visualization and Computer Graphics 19(7), pp. 1143-1157. (10.1109/TVCG.2012.305)
• Tam, G. K. L.et al. 2013. Registration of 3D point clouds and meshes: A survey from rigid to nonrigid. IEEE Transactions on Visualization and Computer Graphics 19(7), pp. 1199-1217. (10.1109/TVCG.2012.310)
• Gao, L.et al. 2013. A data-driven approach to realistic shape morphing. Computer graphics forum 32(2pt4), pp. 449-457. (10.1111/cgf.12065)
• Zhang, G., Lai, Y. and Hu, S. 2013. Efficient synthesis of gradient solid textures. Graphical Models 75(3), pp. 104-117. (10.1016/j.gmod.2012.10.006)
• Xiao, Y.et al. 2013. Example-based color transfer for gradient meshes. IEEE Transactions on Multimedia 15(3), pp. 549-560. (10.1109/TMM.2012.2233725)
• Wu, J.et al. 2013. Making bas-reliefs from photographs of human faces. Computer-Aided Design 45(3), pp. 671-682. (10.1016/j.cad.2012.11.002)
• Cheng, Z.et al. 2013. SuperMatching: feature matching using supersymmetric geometric constraints. IEEE Transactions on Visualization and Computer Graphics 19(11), pp. 1885-1894. (10.1109/TVCG.2013.15)
• Mohd Anuar, F., Setchi, R. and Lai, Y. 2013. Trademark image retrieval using an integrated shape descriptor. Expert Systems with Applications 40(1), pp. 105-121. (10.1016/j.eswa.2012.07.031)
• Lai, Y. and Rosin, P. L. 2013. Non-photorealistic rendering with reduced colour palettes. In: Rosin, P. L. and Collomosse, J. eds. Image and Video-Based Artistic Stylisation., Vol. 42. Computational Imaging and Vision Vol. 42. Springer, pp. 211-236., (10.1007/978-1-4471-4519-6_11)
• Rosin, P. L. and Lai, Y. 2013. Non-photorealistic rendering with spot colour. Presented at: SBIM-NPAR: Non-Photorealistic Animation and Rendering, Anaheim, CA, USA, 19-21 July 2013Proceedings of the Symposium on Computational Aesthetics. New York, NY: ACM pp. 67-75., (10.1145/2487276.2487280)
• Chen, Y.et al. 2013. A data-driven approach to efficient character articulation. Presented at: 2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics), Guangzhou, China, 16-18 Nov 2013Computer-Aided Design and Computer Graphics (CAD/Graphics), 2013 International Conference on. IEEE pp. 32-37., (10.1109/CADGraphics.2013.11)

2012

• Quinn, J. A.et al. 2012. Improved initialisation for centroidal Voronoi tessellation and optimal Delaunay triangulation. Computer-Aided Design 44(11), pp. 1062-1071. (10.1016/j.cad.2012.05.002)
• Lai, Y. and Martin, R. R. 2012. Vertex location optimisation for improved remeshing. Graphical Models 74(4), pp. 233-243. (10.1016/j.gmod.2012.04.011)
• Gao, L., Zhang, G. and Lai, Y. 2012. L p shape deformation. Science China Information Sciences 55(5), pp. 983-993. (10.1007/s11432-012-4574-y)

2011

• Samko, O.et al. 2011. Segmentation of parchment scrolls for virtual unrolling. Presented at: BMVC 2011: The 22nd British Machine Vision Conference, Dundee, UK, 29 August - 2 September 2011 Presented at Hoey, J., McKenna, S. and Trucco, E. eds.Proceedings of the British Machine Vision Conference. Manchester: BMVA Press pp. 37.1-37.11., (10.5244/C.25.37)
• Zhang, G.et al. 2011. Sketch guided solid texturing. Graphical Models 73(3), pp. 59-73. (10.1016/j.gmod.2010.10.006)

2010

• Lai, Y., Kobbelt, L. and Hu, S. 2010. Feature aligned quad dominant remeshing using iterative local updates. Computer-Aided Design 42(2), pp. 109-117. (10.1016/j.cad.2009.02.017)
• Lai, Y.et al. 2010. Metric-driven RoSy field design and remeshing. IEEE Transactions on Visualization and Computer Graphics 16(1), pp. 95-108. (10.1109/TVCG.2009.59)
• Shen, C.et al. 2010. Harmonic Field Based Volume Model Construction from Triangle Soup. Journal of Computer Science and Technology 25(3), pp. 562-571. (10.1007/s11390-010-9345-x)

2009

• Lai, Y., Hu, S. and Martin, R. R. 2009. Automatic and topology-preserving gradient mesh generation for image vectorization. ACM Transactions on Graphics 28(3), article number: 85. (10.1145/1531326.1531391)
• Lai, Y.et al. 2009. Rapid and effective segmentation of 3D models using random walks. Computer Aided Geometric Design 26(6), pp. 665-679. (10.1016/j.cagd.2008.09.007)
• Liu, Y. -., Lai, Y. and Hu, S. 2009. Stripification of free-form surfaces with global error bounds for developable approximation. IEEE Transactions on Automation Science and Engineering 6(4), pp. 700-709. (10.1109/TASE.2008.2009926)
• Lai, Y., Hu, S. and Fang, T. 2009. Robust principal curvatures using feature adapted integral invariants. Presented at: SPM '09 - 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling, San Francisco, CA, USA, 5-8 October 2009 Presented at Gravesen, J. and Keyser, J. eds.SPM '09 - 2009 SIAM/ACM Joint Conference on Geometric and Physical Modeling. New York: ACM pp. 325-330., (10.1145/1629255.1629298)

2008

• Lai, Y.et al. 2008. Fairing wireframes in industrial surface design. Presented at: 10th International Conference on Shape Modeling and Applications, Stony Brook, NY, USA, 4-6 June 2008IEEE International Conference on Shape Modeling and Applications 2008 Stony Brook, New York, USA, June 4-6, 2008 : proceedings. Los Alamitos, CA, USA: IEEE Computer Society Press pp. 29-35., (10.1109/SMI.2008.4547943)
• Lai, Y., Kobbelt, L. and Hu, S. 2008. An incremental approach to feature aligned quad dominant remeshing. Presented at: SPM '08 - ACM Solid and Physical Modeling Symposium, Stony Brook University, Stony Brook, NY, USA, 2-4 June 2008 Presented at Haines, E. and McGuire, M. eds.SPM '08 Proceedings of the 2008 ACM symposium on Solid and physical modeling. New York: ACM pp. 137-145., (10.1145/1364901.1364921)
• Lai, Y.et al. 2008. Fast mesh segmentation using random walks. Presented at: ACM Symposium on Solid and Physical Modeling, Stony Brook, New York, USA, 2-4 June 2008 Presented at Haines, E. and McGuire, M. eds.SPM 2008 Proceedings: ACM Solid and Physical Modeling Symposium, Stony Brook, New York, June 02-04, 2008. Proceedings of the 2008 ACM symposium on Solid and physical modeling New York: ACM pp. 183-192., (10.1145/1364901.1364927)
• Zang, Y., Liu, Y. and Lai, Y. 2008. Note on industrial applications of Hu's surface extension algorithm. In: Chen, F. and Juttler, B. eds. Advances in geometic modelling and processing. Lecture notes in computer science Vol. 4975. Springer, pp. 304-314., (10.1007/978-3-540-79246-8_23)

2007

• Lai, Y.et al. 2007. Robust Feature Classification and Editing. IEEE Transactions on Visualization and Computer Graphics 13(1), pp. 34-45. (10.1109/TVCG.2007.19)
• Pottmann, H.et al. 2007. Principal curvatures from the integral invariant viewpoint. Computer Aided Geometric Design 24(8-9), pp. 428-442. (10.1016/j.cagd.2007.07.004)

2006

• Lai, Y., Hu, S. and Martin, R. R. 2006. Surface mosaics. The Visual Computer 22(9-11), pp. 604-611. (10.1007/s00371-006-0047-x)
• Lai, Y.et al. 2006. Feature sensitive mesh segmentation. Presented at: SPM 2006: ACM Symposium on Solid and Physical Modeling, Cardiff, UK, 6-8 June 2006Proceedings, SPM 2006 : ACM Symposium on Solid and Physical Modeling : Cardiff, Wales, United Kingdom, June 06-08, 2006, Vol. SPM06. New York, USA: Association for Computing Machinery pp. 17-25., (10.1145/1128888.1128891)
• Lai, Y., Hu, S. and Pottmann, H. 2006. Surface fitting based on a feature sensitive parametrization. Computer-Aided Design 38(7), pp. 800-807. (10.1016/j.cad.2006.04.007)

2005

• Lai, Y.et al. 2005. Geometric texture synthesis and transfer via geometry images. Presented at: 2005 ACM Symposium on Solid and Physical Modeling (SPM '05), MIT, Cambridge, MA, USA, 13-15 June 2005 Presented at Kobbelt, L. and Shapiro, V. eds.SPM '05: Proceedings of the 2005 ACM symposium on Solid and physical modeling. New York: ACM pp. 15-26., (10.1145/1060244.1060248)