MMVC

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 here.

Publications

2023

	Shuaihang Yuan, Congcong Wen, Yu-Shen Liu, Yi Fang. Retrieval-Specific View Learning for Sketch-to-Shape Retrieval. 2023 IEEE Transactions on Multimedia, June 19, 2023 [IEEE Explore] [PDF]
	Congcong Wen, Xiang Li, Hao Huang, Yu-Shen Liu, Yi Fang. 3D Shape Contrastive Representation Learning with Adversarial Examples. 2023 IEEE Transactions on Multimedia, April 6, 2023 [IEEE Explore] [PDF]
	Congcong Wen, Hao Huang, Yushen Liu, Yi Fang. Pyramid Learnable Tokens for 3D LiDAR Place Recognition. 2023 IEEE International Conference on Robotics and Automation (ICRA), May 29 - June 2, 2023, ExCeL London, UK [PDF] [GitHub]
	Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han. SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. 2023 Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver Convention Centre, Jun 18, 2023 – Thu, Jun 22, 2023 [CVPR Open Access] [ArXiv] [PDF] [GitHub]
	Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han. LP-DIF: Learning Local Pattern-specific Deep Implicit Function for 3D Objects and Scenes. 2023 Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver Convention Centre, Jun 18, 2023 – Thu, Jun 22, 2023 [CVPR Open Access] [PDF]

2022

	Lingjing Wang, Nan Zhou, Hao Huang, Jifei Wang, Xiang Li, Yi Fang. GP-Aligner: Unsupervised Groupwise Non-Rigid Point Set Registration Based On Optimizable Group Latent Descriptor. IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023, 60(1). DOI: 10.1109/TGRS.2022.3230413. [ArXiv] [PDF] [IEEE Xplore]
	Hao Huang, Cheng Chen, Yi Fang. Manifold Adversarial Learning for Cross-domain 3D Shape Representation European Conference on Computer Vision. (ECCV), 2022. [Springer]
	Hao Huang, Cheng Chen, Yi Fang. Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. 2022 IEEE International Conference on Image Processing. (ICIP), 2022, 45(1): 3181-3185. [IEEE Xplore]
	Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han. HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. Thirty-Sixth Conference on Neural Information Processing Systems. (NeurIPS), 2022. [ArXiv] >
	Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han. Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. Thirty-Sixth Conference on Neural Information Processing Systems. (NeurIPS), 2022. [ArXiv]
	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, Yi Fang. SHREC’22 track: Sketch-based 3D shape retrieval in the wild. Computers & Graphics ,2022,107: 104-115. [IEEE Xplore]
	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, Yi Fang. SHREC 2022: Protein–ligand binding site recognition Computers & Graphics, 2022, 107: 20-31 [ScienceDirect]
	Yu Hao, Haoyang Pei, Yixuan Lyu, Zhongzheng Yuan, John-Ross Rizzo, Yao Wang,Yi Fang. Understanding the Impact of Image Quality and Distance of Objects to Object Detection Performance. [ArXiv]
	Muhammad Osama Khan, Yi Fang. Implicit Neural Representations for Medical Imaging Segmentation International Conference on Medical Image Computing and Computer-Assisted Intervention. (MICCAI), 2022. [Springer]
	Mengxi Wu, Hao Huang, Yi Fang. 3D point cloud completion with geometric-aware adversarial augmentation. 2022 26th International Conference on Pattern Recognition. (ICPR), 2022. [IEEE]
	Yu Hao, Junchi Feng, John-Ross Rizzo, Yao Wang, Yi Fang. Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision. [ArXiv]
	Haoyu Fang, Xiaofeng Yang, Yi Fang. Multi-organ Segmentation Network with Adversarial Performance Validator. [ArXiv]
	Junsheng Zhou, Xin Wen, Yu-Shen Liu, Zhizhong Han Yi Fang. 3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. [ArXiv]
	Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E Hudson, William Seiple, Yi Fang, Sundeep Rangan, Yao Wang, John-Ross Rizzo. Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to “See” More, Farther and Faster. IEEE Access, 2022. [IEEE]
	Xiang Li, Lingjing Wang, Yi Fang. Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration IEEE Transactions on Visualization and Computer Graphics. (TVCG), 2022. [IEEE]
	Shuaihang Yuan, Xiang Li, Hao Huang, Yi Fang. Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection Proceedings of the Asian Conference on Computer Vision. (ACCV), 2022. [OpenAccess]

2021

	Hao Huang, Xiang Li, Lingjing Wang, Yi Fang. 3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. 2021 IEEE International Conference on 3D Vision. (3DV), 2021. [IEEE]
	Yu Hao, Yi Fang. 3D Meta-Segmentation Neural Network. [ArXiv]
	Yu Hao, Yi Fang. Meta-Learning 3D Shape Segmentation Functions. [ArXiv]
	Yu Hao, Yi Fang. RAR: Region-Aware Point Cloud Registration. [ArXiv]
	Alain Boldini, Andy Louis Garcia, Marc Sorrentino, Mahya Beheshti, Okpe Ogedegbe, Yi Fang, Maurizio Porfiri, John-Ross Rizzo. An inconspicuous, integrated electronic travel aid for visual impairment. ASME Letters in Dynamic Systems and Control , 2021. [ASME]
	Hao Huang, Yi Fang. Adaptive Wavelet Transformer Network for 3D Shape Representation Learning. International Conference on Learning Representations (ICLR), 2021. [OpenReview]
	Haoyu Fang, Jing Zhu, Yi Fang. ContinuityLearner: Geometric continuity feature learning for lane segmentation. [ArXiv]
	Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang. Geometry-aware segmentation of remote sensing images via joint height estimation. IEEE Geoscience and Remote Sensing Letters (GRSL), 2021. [IEEE]
	Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang. G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. [ArXiv]
	Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang. Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. [ArXiv]
	Hao Huang, Yi Fang. Adaptive wavelet transformer network for 3d shape representation learning. [OpenReview]
	Daohan Lu, Yi Fang. Audi-Exchange: AI-Guided Hand-Based Actions To Assist Human-Human Interactions for the Blind and the Visually Impaired. Proceedings of the IEEE/CVF International Conference on Computer Vision. (ICCV) [OpenAccess]
	John-Ross Rizzo, Mahya Beheshti, Steven Flanagan, Nicholas A Giudice Yi Fang. COVID-19 and visual disability: Can’t look and now don’t touch. American Academy of Physical Medicine and Rehabilitation. (AAPM&R), 2021(13) [DigitalCommons@UMaine]

2020

	Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang. 3dmotion-net: Learning continuous flow function for 3d motion prediction. 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems. (IROS), 2020:8154-8160 [IEEE Xplore]
	Lingjing Wang, Yu Hao, Xiang Li, Yi Fang. 3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds. [arXiv]
	Hao Huang, Lingjing Wang, Xiang Li, Yi Fang. 3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence. [arXiv]
	Lingjing Wang, Xiang Li, Yi Fang. Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. [arXiv]
	Lingjing Wang, Xiang Li, Yi Fang. Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration. [arXiv]
	Xiang Li, Mingyang Wang, Yi Fang. Height estimation from single aerial images using a deep ordinal regression network. IEEE Geoscience and Remote Sensing Letters. (IEEE), 2020(19): 1-5 [IEEE]
	Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang. Robust image matching by dynamic feature selection [arXiv]
	Xiang Li, Lingjing Wang, Mingyang Wang, Congcong Wen Yi Fang. DANCE-NET: Density-aware convolution networks with context encoding for airborne LiDAR point cloud classification. ISPRS Journal of Photogrammetry and Remote Sensing. (ISPRS), 2020(166): 128-139 [ScienceDirect]
	Lingjing Wang, Xiang Li, Yi Fang. GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor. [arXiv]
	Shuaihang Yuan, Xiang Li, Yi Fang. DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow. [arXiv]
	Lingjing Wang, Yi Shi, Xiang Li, Yi Fang. Unsupervised learning of global registration of temporal sequence of point clouds. [arXiv]
	Jingyu Deng, Xiang Li, Yi Fang. Few-shot object detection on remote sensing images. [arXiv]
	Lingjing Wang, Xiang Li, Yi Fang. Unsupervised learning of 3D point set registration. [arXiv]
	Lingjing Wang, Xiang Li, Yi Fang. Geometry-Aware Segmentation of Remote Sensing Images via Implicit Height Estimation. [arXiv]
	Lingjing Wang, Congcong Wen, Xiang Li, Yi Fang. Topology constrained shape correspondence. IEEE transactions on visualization and computer graphics. (IEEE), 2020(27): 3926-3937 [IEEE]
	Samridha Shrestha, Daohan Lu, Hanlin Tian, Qiming Cao, Julie Liu, John-Ross Rizzo, William H Seiple, Maurizio Porfiri, Xiang Li, Yi Fang. Active crowd analysis for pandemic risk mitigation for blind or visually impaired persons. European Conference on Computer Vision. (ECCV), 2020: 422-439 [Springer]
	Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang. MDA-net: memorable domain adaptation network for monocular depth estimation. British Machine Vision Conference 2020 [BMVC]
	Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang. Unsupervised deep shape descriptor with point distribution learning. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020: 9353-9362 [OpenAccess]
	Lingjing Wang, Xiang Li, Yi Fang. Few-shot learning of part-specific probability space for 3D shape segmentation. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020: 4504-4513 [OpenAccess]
	Jing Zhu, Yi Fang. Reference grid-assisted network for 3D point signature learning from point clouds. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2020: 211-220 [OpenAccess]
	Shuaihang Yuan, Yi Fang. ROSS: Robust learning of one-shot 3D shape segmentation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2020: 1961-1969 [OpenAccess]
	Shuaihang Yuan, Yi Fang. Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired. Advances in Computer Vision: Proceedings of the 2019 Computer Vision Conference (CVC), 2020:132-146 [Springer]