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<!DOCTYPE html>
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<title>MMVC</title>
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<p>Our group actively publishes in the fields of machine learning, computer vision, and interdisciplinary data science. Below are a list of recent and selected papers. A mark * denotes the author to be a MMVC student or Dr. Fang's mentee. An up-to-date full paper list can be found <a href="https://scholar.google.com/citations?hl=en&user=j-cyhzwAAAAJ&view_op=list_works&sortby=pubdate">here</a>.</p>
<div class="section-title" style="margin-bottom: 30px">
<h2>Publications</h2>
</div>
<b>2023</b>
<hr />
<table cellpadding=5>
<tr>
<td><a href="logos/StS.png"><img src="logos/StS.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, Congcong Wen, Yu-Shen Liu, <strong>Yi Fang</strong>. Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. <i>2023 IEEE Transactions on Multimedia, June 19, 2023</i>
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/10094000">[IEEE Explore]  </a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10094000">[PDF]  </a>
</td>
</tr>
<tr>
<td><a href="logos/3D_shape.png"><img src="logos/3D_shape.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Congcong Wen, Xiang Li, Hao Huang, Yu-Shen Liu, <strong>Yi Fang</strong>. 3D Shape Contrastive Representation Learning with Adversarial Examples. <i>2023 IEEE Transactions on Multimedia, April 6, 2023</i>
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/10155453">[IEEE Explore]  </a>
<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10155453&casa_token=VnWHQCTVwWkAAAAA:EqbztNXEsyWo9vLO-Q89QudC_M-0IQ_hkBg1PK5wksQzpa0pwJDT1AJPXG9tNn3Jv1IIeHoo2w">[PDF]  </a>
</td>
</tr>
<tr>
<td><a href="logos/Pyramid.png"><img src="logos/Pyramid.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Congcong Wen, Hao Huang, Yushen Liu, <strong>Yi Fang</strong>. Pyramid Learnable Tokens for 3D LiDAR Place Recognition. <i>2023 IEEE International Conference on Robotics and Automation <strong>(ICRA)</strong>, May 29 - June 2, 2023, ExCeL London, UK </i>
<br />
<a href="https://openaccess.thecvf.com/content/ICCV2021/papers/Hui_Pyramid_Point_Cloud_Transformer_for_Large-Scale_Place_Recognition_ICCV_2021_paper.pdf">[PDF]  </a>
<a href="https://github.com/fpthink/PPT-Net">[GitHub]  </a>
</td>
</tr>
<tr>
<td><a href="logos/ShsNet.png"><img src="logos/ShsNet.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, <strong>Yi Fang</strong>, Zhizhong Han. SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. <i>2023 Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>, Vancouver Convention Centre, Jun 18, 2023 – Thu, Jun 22, 2023</i>
<br />
<a href="https://openaccess.thecvf.com/content/CVPR2023/html/Li_SHS-Net_Learning_Signed_Hyper_Surfaces_for_Oriented_Normal_Estimation_of_CVPR_2023_paper.html">[CVPR Open Access]  </a>
<a href="https://arxiv.org/abs/2305.05873">[ArXiv]  </a>
<a href="https://arxiv.org/pdf/2305.05873.pdf">[PDF]  </a>
<a href="https://github.com/LeoQLi/SHS-Net">[GitHub]  </a>
</td>
</tr>
<tr>
<td><a href="logos/LIPDIF.png"><img src="logos/LIPDIF.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Qing Li, Huifang Feng, Kanle Shi, Yue Gao, <strong>Yi Fang</strong>, Yu-Shen Liu, Zhizhong Han. LP-DIF: Learning Local Pattern-specific Deep Implicit Function for 3D Objects and Scenes. <i>2023 Conference on Computer Vision and Pattern Recognition <strong>(CVPR)</strong>, Vancouver Convention Centre, Jun 18, 2023 – Thu, Jun 22, 2023</i>
<br />
<a href="https://openaccess.thecvf.com/content/CVPR2023/html/Wang_LP-DIF_Learning_Local_Pattern-Specific_Deep_Implicit_Function_for_3D_Objects_CVPR_2023_paper.html">[CVPR Open Access]  </a>
<a href="https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_LP-DIF_Learning_Local_Pattern-Specific_Deep_Implicit_Function_for_3D_Objects_CVPR_2023_paper.pdf">[PDF]  </a>
</td>
</tr>
</table>
<b>2022</b>
<hr />
<table cellpadding=5>
<tr>
<tr>
<td><a href="logos/cGPAligner.png"><img src="logos/cGPAligner.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Nan Zhou, Hao Huang, Jifei Wang, Xiang Li, <strong>Yi Fang</strong>. GP-Aligner: Unsupervised Groupwise Non-Rigid Point Set Registration Based On Optimizable Group Latent Descriptor. <i>IEEE Transactions on Geoscience and Remote Sensing <strong>(TGRS)</strong></i>, 2023, 60(1). DOI: 10.1109/TGRS.2022.3230413.
<br />
<a href="https://arxiv.org/pdf/2007.12979">[ArXiv]  </a>
<a href="https://arxiv.org/pdf/2007.12979.pdf">[PDF]  </a>
<a href="https://ieeexplore.ieee.org/abstract/document/9994035">[IEEE Xplore]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cManifoldLearning.png"><img src="logos/cManifoldLearning.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Cheng Chen, <strong>Yi Fang</strong>. Manifold Adversarial Learning for Cross-domain 3D Shape Representation <i>European Conference on Computer Vision. <strong>(ECCV)</strong></i>, 2022.
<br />
<a href="https://link.springer.com/chapter/10.1007/978-3-031-19809-0_16">[Springer]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cNonRigid.png"><img src="logos/cNonRigid.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Cheng Chen, <strong>Yi Fang</strong>. Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. <i>2022 IEEE International Conference on Image Processing. <strong>(ICIP)</strong></i>, 2022, 45(1): 3181-3185.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9897166">[IEEE Xplore]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cHSurf.png"><img src="logos/cHSurf.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, <strong>Yi Fang</strong>, Zhizhong Han. HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. <i>Thirty-Sixth Conference on Neural Information Processing Systems. <strong>(NeurIPS)</strong></i>, 2022.
<br />
<a href="https://arxiv.org/abs/2210.07158">[ArXiv]  </a>
>
</td>
</tr>
<tr>
<td><a href="logos/cLearningConsistencyAware.png"><img src="logos/cLearningConsistencyAware.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Junsheng Zhou, Baorui Ma, Yu-Shen Liu, <strong>Yi Fang</strong>, Zhizhong Han. Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. <i>Thirty-Sixth Conference on Neural Information Processing Systems. <strong>(NeurIPS)</strong></i>, 2022.
<br />
<a href="https://arxiv.org/abs/2210.02757">[ArXiv]  </a>
</td>
</tr>
<tr>
<td><a href="logos/dSketchBased.png"><img src="logos/dSketchBased.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Nhat Hoang-Xuan, Chi-Bien Chu, Khoi-Nguyen Nguyen-Ngoc, Thien-Tri Cao, Nhat-Khang Ngo, Tuan-Luc Huynh, Hai-Dang Nguyen, Minh-Triet Tran, Haoyang Luo, Jianning Wang, Zheng Zhang, Zihao Xin, Yang Wang, Feng Wang, Ying Tang, Haiqin Chen, Yan Wang, Qunying Zhou, Ji Zhang, Hongyuan Wang, <strong>Yi Fang</strong>. SHREC’22 track: Sketch-based 3D shape retrieval in the wild. <i>Computers & Graphics</i> ,2022,107: 104-115.
<br />
<a href="https://www.sciencedirect.com/science/article/pii/S0097849322001261">[IEEE Xplore]  </a>
</td>
</tr>
<tr>
<td><a href="logos/bProteinLigand.png"><img src="logos/bProteinLigand.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Luca Gagliardi, Andrea Raffo, Ulderico Fugacci, Silvia Biasotti, Walter Rocchia, Hao Huang, Boulbaba Ben Amor, Yuanyuan Zhang, Xiao Wang, Charles Christoffer, Daisuke Kihara, Apostolos Axenopoulos, Stelios Mylonas, Petros Daras, <strong>Yi Fang</strong>. SHREC 2022: Protein–ligand binding site recognition <i>Computers & Graphics</i>, 2022, 107: 20-31
<br />
<a href="https://www.sciencedirect.com/science/article/pii/S0097849322001236">[ScienceDirect]  </a>
</td>
</tr>
<tr>
<td><a href="logos/bUIIQD.png"><img src="logos/bUIIQD.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Yu Hao, Haoyang Pei, Yixuan Lyu, Zhongzheng Yuan, John-Ross Rizzo, Yao Wang,<strong>Yi Fang</strong>. Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance.
<br />
<a href="https://arxiv.org/abs/2209.08237">[ArXiv]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cOsama.png"><img src="logos/cOsama.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Muhammad Osama Khan, <strong>Yi Fang</strong>. Implicit Neural Representations for Medical Imaging Segmentation <i>International Conference on Medical Image Computing and Computer-Assisted Intervention. <strong>(MICCAI)</strong></i>, 2022.
<br />
<a href="https://link.springer.com/chapter/10.1007/978-3-031-16443-9_42">[Springer]  </a>
</td>
</tr>
<tr>
<td><a href="logos/c3DPC.png"><img src="logos/c3DPC.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Mengxi Wu, Hao Huang, <strong>Yi Fang</strong>. 3D point cloud completion with geometric-aware adversarial augmentation. <i>2022 26th International Conference on Pattern Recognition. <strong>(ICPR)</strong></i>, 2022.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9956045">[IEEE]  </a>
</td>
</tr>
<tr>
<td><a href="logos/bDoA.png"><img src="logos/bDoA.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, <strong>Yi Fang</strong>. Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision.
<br />
<a href="https://arxiv.org/abs/2208.08477">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/cMultiOrgan.png"><img src="logos/cMultiOrgan.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Haoyu Fang, Xiaofeng Yang, <strong>Yi Fang</strong>. Multi-organ Segmentation Network with Adversarial Performance Validator.
<br />
<a href="https://arxiv.org/abs/2204.07850">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/c3DOAE.png"><img src="logos/c3DOAE.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Junsheng Zhou, Xin Wen, Yu-Shen Liu, Zhizhong Han <strong>Yi Fang</strong>. 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds.
<br />
<a href="https://arxiv.org/abs/2203.14084">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/cNetworkAware.png"><img src="logos/cNetworkAware.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E Hudson, William Seiple, <strong>Yi Fang</strong>, Sundeep Rangan, Yao Wang, John-Ross Rizzo. Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to “See” More, Farther and Faster. <i> <strong>IEEE Access</strong></i>, 2022.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9730919">[IEEE]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cUnCatSpe.png"><img src="logos/cUnCatSpe.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Xiang Li, Lingjing Wang, <strong>Yi Fang</strong>. Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration <i>IEEE Transactions on Visualization and Computer Graphics. <strong>(TVCG)</strong></i>, 2022.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9729524">[IEEE]  </a>
</td>
</tr>
<tr>
<td><a href="logos/cMetaDet3D.png"><img src="logos/cMetaDet3D.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, Xiang Li, Hao Huang, <strong>Yi Fang</strong>. Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection <i>Proceedings of the Asian Conference on Computer Vision. <strong>(ACCV)</strong></i>, 2022.
<br />
<a href="https://openaccess.thecvf.com/content/ACCV2022/html/Yuan_Meta-Det3D_Learn_to_Learn_Few-Shot_3D_Object_Detection_ACCV_2022_paper.html">[OpenAccess]  </a>
</td>
</tr>
</table>
<b>2021</b>
<hr />
<table cellpadding=5>
<tr>
<td><a href="logos/bMetaLearning3D.png"><img src="logos/bMetaLearning3D.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Xiang Li, Lingjing Wang, <strong>Yi Fang</strong>. 3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. <i>2021 IEEE International Conference on 3D Vision. <strong>(3DV)</strong></i>, 2021.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9665930">[IEEE]  </a>
</td>
</tr>
<tr>
<td><a href="logos/d3DMetaSeg.png"><img src="logos/d3DMetaSeg.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Yu Hao, <strong>Yi Fang</strong>. 3D Meta-Segmentation Neural Network.
<br />
<a href="https://arxiv.org/abs/2110.04297">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/bMetaLearning3D.png"><img src="logos/bMetaLearning3D.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Yu Hao, <strong>Yi Fang</strong>. Meta-Learning 3D Shape Segmentation Functions.
<br />
<a href="https://arxiv.org/abs/2110.03854">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/bRAR.png"><img src="logos/bRAR.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Yu Hao, <strong>Yi Fang</strong>. RAR: Region-Aware Point Cloud Registration.
<br />
<a href="https://arxiv.org/abs/2110.03544">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/dInconspicuous.png"><img src="logos/dInconspicuous.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Alain Boldini, Andy Louis Garcia, Marc Sorrentino, Mahya Beheshti, Okpe Ogedegbe, <strong>Yi Fang</strong>, Maurizio Porfiri, John-Ross Rizzo. An inconspicuous, integrated electronic travel aid for visual impairment. <i>ASME Letters in Dynamic Systems and Control </i>, 2021.
<br />
<a href="https://asmedigitalcollection.asme.org/lettersdynsys/article/1/4/041004/1098823/An-Inconspicuous-Integrated-Electronic-Travel-Aid">[ASME]  </a>
</td>
</tr>
<tr>
<td><a href="logos/eAdaptive.png"><img src="logos/eAdaptive.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, <strong>Yi Fang</strong>. Adaptive Wavelet Transformer Network for 3D Shape Representation Learning. <i>International Conference on Learning Representations <strong>(ICLR)</strong></i>, 2021.
<br />
<a href="https://openreview.net/forum?id=5MLb3cLCJY&trk=public_post_comment-text">[OpenReview]</a>
</td>
</tr>
<tr>
<td><a href="logos/dContinuityLearner.png"><img src="logos/dContinuityLearner.png" alt="Neural" width="200" /></a></td>
<td>
<span class="sequence"></span>Haoyu Fang, Jing Zhu, <strong>Yi Fang</strong>. ContinuityLearner: Geometric continuity feature learning for lane segmentation.
<br />
<a href="https://arxiv.org/abs/2108.03507">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/eGeometryAware.png"><img src="logos/eGeometryAware.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Xiang Li, Congcong Wen, Lingjing Wang, <strong>Yi Fang</strong>. Geometry-aware segmentation of remote sensing images via joint height estimation. <i>IEEE Geoscience and Remote Sensing Letters <strong>(GRSL)</strong></i>, 2021.
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9361998">[IEEE]</a>
</td>
</tr>
<tr>
<td><a href="logos/aGVAE.png"><img src="logos/aGVAE.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, <strong>Yi Fang</strong>. G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2106.11920">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/aResNet.png"><img src="logos/aResNet.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, <strong>Yi Fang</strong>. Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2106.11911">[ArXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/aWavelet.png"><img src="logos/aWavelet.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, <strong>Yi Fang</strong>. Adaptive wavelet transformer network for 3d shape representation learning.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://openreview.net/forum?id=5MLb3cLCJY&trk=public_post_comment-text">[OpenReview]</a>
</td>
</tr>
<tr>
<td><a href="logos/aAudi.png"><img src="logos/aAudi.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Daohan Lu, <strong>Yi Fang</strong>. Audi-Exchange: AI-Guided Hand-Based Actions To Assist Human-Human Interactions for the Blind and the Visually Impaired. <i>Proceedings of the IEEE/CVF International Conference on Computer Vision. <strong>(ICCV)</strong></i>
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://openaccess.thecvf.com/content/ICCV2021W/ACVR/html/Lu_Audi-Exchange_AI-Guided_Hand-Based_Actions_To_Assist_Human-Human_Interactions_for_the_ICCVW_2021_paper.html">[OpenAccess]</a>
</td>
</tr>
<tr>
<td><a href="logos/dCov19VisDis.png"><img src="logos/dCov19VisDis.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>John-Ross Rizzo, Mahya Beheshti, Steven Flanagan, Nicholas A Giudice <strong>Yi Fang</strong>. COVID-19 and visual disability: Can’t look and now don’t touch. <i>American Academy of Physical Medicine and Rehabilitation. <strong>(AAPM&R)</strong></i>, 2021(13)
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1078&context=c19_teach_doc">[DigitalCommons@UMaine]</a>
</td>
</tr>
</table>
<b>2020</b>
<hr />
<table cellpadding=5>
<tr>
<td><a href="logos/d3DMotionNet.png"><img src="logos/d3DMotionNet.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, Xiang Li, Anthony Tzes, <strong>Yi Fang</strong>. 3dmotion-net: Learning continuous flow function for 3d motion prediction. <i>2020 IEEE/RSJ International Conference on Intelligent Robots and Systems. <strong>(IROS)</strong></i>, 2020:8154-8160
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9341671">[IEEE Xplore]</a>
</td>
</tr>
<tr>
<td><a href="logos/d3DMetaRegister.png"><img src="logos/d3DMetaRegister.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Yu Hao, Xiang Li, <strong>Yi Fang</strong>. 3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2010.11504">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/d3DMetaPointSignature.png"><img src="logos/d3DMetaPointSignature.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. 3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2010.11159">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/dDeep3DAligner.png"><img src="logos/dDeep3DAligner.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2010.00321">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/dSupervisedPartialPoint.png"><img src="logos/dSupervisedPartialPoint.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2009.05290">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/dHeightEstimator.png"><img src="logos/dHeightEstimator.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Xiang Li, Mingyang Wang, <strong>Yi Fang</strong>. Height estimation from single aerial images using a deep ordinal regression network. <i>IEEE Geoscience and Remote Sensing Letters. <strong>(IEEE)</strong></i>, 2020(19): 1-5
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9190011">[IEEE]</a>
</td>
</tr>
<tr>
<td><a href="logos/aRIMDF.png"><img src="logos/aRIMDF.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, <strong>Yi Fang</strong>. Robust image matching by dynamic feature selection
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2008.05708">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/dDanceNet.png"><img src="logos/dDanceNet.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Xiang Li, Lingjing Wang, Mingyang Wang, Congcong Wen <strong>Yi Fang</strong>. DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification. <i>ISPRS Journal of Photogrammetry and Remote Sensing. <strong>(ISPRS)</strong></i>, 2020(166): 128-139
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://www.sciencedirect.com/science/article/abs/pii/S0924271620301490">[ScienceDirect]</a>
</td>
</tr>
<tr>
<td><a href="logos/aGPAUN.png"><img src="logos/aGPAUN.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2007.12979">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/aDTN3D.png"><img src="logos/aDTN3D.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, Xiang Li, <strong>Yi Fang</strong>. DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2006.13848">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/ULGRTS.png"><img src="logos/ULGRTS.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Yi Shi, Xiang Li, <strong>Yi Fang</strong>. Unsupervised learning of global registration of temporal sequence of point clouds.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2006.12378">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/FoDRS.png"><img src="logos/FoDRS.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Jingyu Deng, Xiang Li, <strong>Yi Fang</strong>. Few-shot object detection on remote sensing images.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2006.07826">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/UL3DPS.png"><img src="logos/UL3DPS.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. Unsupervised learning of 3D point set registration.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2006.06200">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/GasOR.png"><img src="logos/GasOR.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. Geometry-Aware Segmentation of Remote Sensing Images via Implicit Height Estimation.
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://arxiv.org/abs/2006.05848">[arXiv]</a>
</td>
</tr>
<tr>
<td><a href="logos/eTopConstrained.png"><img src="logos/eTopConstrained.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Congcong Wen, Xiang Li, <strong>Yi Fang</strong>. Topology constrained shape correspondence. <i>IEEE transactions on visualization and computer graphics. <strong>(IEEE)</strong></i>, 2020(27): 3926-3937
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://ieeexplore.ieee.org/abstract/document/9091324">[IEEE]</a>
</td>
</tr>
<tr>
<td><a href="logos/ACA.png"><img src="logos/ACA.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Samridha Shrestha, Daohan Lu, Hanlin Tian, Qiming Cao, Julie Liu, John-Ross Rizzo, William H Seiple, Maurizio Porfiri, Xiang Li, <strong>Yi Fang</strong>. Active crowd analysis for pandemic risk mitigation for blind or visually impaired persons. <i>European Conference on Computer Vision. <strong>(ECCV)</strong></i>, 2020: 422-439
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://link.springer.com/chapter/10.1007/978-3-030-66823-5_25#citeas">[Springer]</a>
</td>
</tr>
<tr>
<td><a href="logos/eMDANet.png"><img src="logos/eMDANet.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Jing Zhu, Yunxiao Shi, Mengwei Ren, <strong>Yi Fang</strong>. MDA-net: memorable domain adaptation network for monocular depth estimation. <i>British Machine Vision Conference 2020</i>
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://www.bmvc2020-conference.com/assets/papers/0790.pdf">[BMVC]</a>
</td>
</tr>
<tr>
<td><a href="logos/UnsupervisedShapeDescriptor.png"><img src="logos/UnsupervisedShapeDescriptor.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Yi Shi, Mengchen Xu, Shuaihang Yuan, <strong>Yi Fang</strong>. Unsupervised deep shape descriptor with point distribution learning. <i>Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>, 2020: 9353-9362
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Shi_Unsupervised_Deep_Shape_Descriptor_With_Point_Distribution_Learning_CVPR_2020_paper.html">[OpenAccess]</a>
</td>
</tr>
<tr>
<td><a href="logos/FewShotLearning.png"><img src="logos/FewShotLearning.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Lingjing Wang, Xiang Li, <strong>Yi Fang</strong>. Few-shot learning of part-specific probability space for 3D shape segmentation. <i>Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition</i>, 2020: 4504-4513
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://openaccess.thecvf.com/content_CVPR_2020/html/Wang_Few-Shot_Learning_of_Part-Specific_Probability_Space_for_3D_Shape_Segmentation_CVPR_2020_paper.html">[OpenAccess]</a>
</td>
</tr>
<tr>
<td><a href="logos/ReferenceGridAssistedNetwork.png"><img src="logos/ReferenceGridAssistedNetwork.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Jing Zhu, <strong>Yi Fang</strong>. Reference grid-assisted network for 3D point signature learning from point clouds. <i>Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision</i>, 2020: 211-220
<img class="new" src="main/img/new.gif" />
<br />
<a href="http://openaccess.thecvf.com/content_WACV_2020/html/Zhu_Reference_Grid-assisted_Network_for_3D_Point_Signature_Learning_from_Point_WACV_2020_paper.html">[OpenAccess]</a>
</td>
</tr>
<tr>
<td><a href="logos/ROSS.png"><img src="logos/ROSS.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, <strong>Yi Fang</strong>. ROSS: Robust learning of one-shot 3D shape segmentation. <i>Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision</i>, 2020: 1961-1969
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://openaccess.thecvf.com/content_WACV_2020/html/Yuan_ROSS_Robust_Learning_of_One-shot_3D_Shape_Segmentation_WACV_2020_paper.html">[OpenAccess]</a>
</td>
</tr>
<tr>
<td><a href="logos/CrossSafe.png"><img src="logos/CrossSafe.png" alt="SPU" width="200" /></a></td>
<td>
<span class="sequence"></span>Shuaihang Yuan, <strong>Yi Fang</strong>. Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired. <i>Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference <strong>(CVC)</strong></i>, 2020:132-146
<img class="new" src="main/img/new.gif" />
<br />
<a href="https://link.springer.com/chapter/10.1007/978-3-030-17798-0_13">[Springer]</a>
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