Publications

Jing Zhu and Yi Fang*, Learning Object-specific Distance from a Monocular Image, International Conference on Computer Vision (ICCV), Seoul, Korea, 2019

Shuaihang Yuan, Wenjun Gui,  Bingyu Li, John-Ross Rizzo, Lakshay Sharma, Chen Feng, Anthony Tzes, and Yi Fang*, An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 2019

Xiang Li, Hanzhang Cui, John-Ross Rizzo, Edward Wong and Yi Fang*, “Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired”,  Computer Vision Conference,  April 2019, Las Vegas, Nevada, USA

Xiang Li, Hanzhang Cui, John-Ross Rizzo, Edward Wong and Yi Fang*, “Cross-Safe: A computer vision-based approach to make all intersection-related pedestrian signals accessible for the visually impaired”,  Computer Vision Conference,  April 2019, Las Vegas, Nevada, USA.

Xiang Li, Lingjing Wang and Yi Fang*, PC-Net: Unsupervised Point Correspondence Learning with Neural Networks, International Conference on 3D Vision (3DV), Quebec City, Canada, Sep. 16, 2019

Yunxiao Shi, Haoyu Fang and Yi Fang*,Pairwise Attention Encoding for Point Cloud Feature Learning, International Conference on 3D Vision (3DV), Quebec City, Canada, Sep. 16, 2019.

Fan Zhu, Li Liu, Fumin Shen, Ling Shao and Yi Fang*, “Learning to Synthesize 3D Indoor Scenes from Monocular Images”, 2018 ACM Multimedia Conference (ACMMM 2018) (ORAL)

Guoxian Dai, Jin Xie and Yi Fang*, “Deep Correlated Holistic Metric Learning for Sketch-based 3D Shape Retrieval”,  IEEE Transactions on Image Processing (TIP), 2018

Guoxian Dai, Jin Xie, and Yi Fang*, “Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning”, International Joint Conferences on Artificial Intelligence (IJCAI-18)

Jiaxin Chen and Yi Fang*, “Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval”, European Conference on Computer Vision (ECCV-18)

Jing Zhu and Yi Fang*, “Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches”, 2018 ACM Multimedia Conference (ACMMM 2018)

Lingjing Wang, Qian Chen, Jifei Wang and Yi Fang*, “Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches”, 2018 ACM Multimedia Conference (ACMMM 2018)

Guoxian Dai, Jie Xie, Fan Zhu, and Yi Fang, Deep Correlated Metric Learning for Sketch-Based 3D Shape Retrieval, The Thirty-First AAAI Conference on Artificial Intelligence (oral), AAAI 2017

Guoxian Das, Jin Xie, and Yi Fang*, “Metric-based Generative Adversarial Network,” ACM Multimedia 2017 (ACMMM), 2017

Jie Xie, Guoxian Dai, and Yi Fang, Deep Multi-metric Learning for Shape-based 3D Model Retrieval, IEEE Transactions on Multimedia, 2017

Jing Zhu, John-Ross Rizzo, and Yi Fang*, “Learning Domain-invariant Feature for Robust Depth-image-based 3D Shape Retrieval”, Pattern Recognition Letters, 2017 (Accepted)

Jing Zhu, Jin Xie, and Yi Fang*, “Learning Adversarial 3D Model Generation With 2D Image Enhancer”, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18)

Jin Xie, Yi Fang, “Learning Barycentric Representations of 3D Shapes for Sketch-based 3D Shape Retrieval,”  CVPR 2017

Liang Niu, Cheng Qian, John-Ross Rizzo, Todd Hudson, Zichen Li, Shane Enright, Eliot Sperling, Edward Wong, Yi Fang*, “A Wearable Assistive Technology for the Visually Impaired with Door Knob Detection and Real-Time Feedback for Hand-to-Handle Manipulation”, ICCV 2017 – 5th International Workshop on Assistive Computer Vision and Robotics (ACVR) – Venice, Italy – October 28th, 2017

Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, and Zongben Xu,“Greedy Criterion in Orthogonal Greedy Learning,” IEEE Transactions on Cybernetics, 2017

Meng Wang, Lingjing Wang and Yi Fang*, “3DensiNet: A Robust Neural Network Architecture Towards 3D Volumetric Object Prediction From 2D Image”, ACM Multimedia 2017 (ACMMM), 2017

Guoxian Dai, Jin Xie, Fan Zhu and Yi Fang*, “Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder”, Pattern Recognition Letters, 2016 (BibTex)

Fan Zhu, Ling Shao and Yi Fang*, “Boosted Cross-Domain Dictionary Learning for Visual Categorization”, IEEE Intelligent Systems, 2016 (BibTex)

Fan Zhu, Ling Shao and Yi Fang*, “From Handcrafted to Learned-Based Representations for Human Action: A Survey”, Image and Vision Computing, 2016

Fan Zhu and Yi Fang*, “Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis”, 14th European Conference on Computer Vision (ECCV), 2016 (Spotlight)

Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao and Yi Fang*, “Progressive Shape-Distribution-Encoder for 3D Shape Retrieval”,  IEEE Transcations on Image Processing (Accepted), 2016

Jin Xie, Guoxian Dai, Fan Zhu, Edward Wong and Yi Fang*, “DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016

Jin Xie, Guoxian Dai, Ling Shao and Yi Fang*, “Deep Non-linear Metric Learning for 3D Shape Retrieval”,  IEEE Transcations on Cybernetics (Accepted), 2016

Jin Xie and Yi Fang*, “Dynamic Texture Recognition With Video Set Based Collaborative Representation”, Image and Vision Computing, 2016 (BibTex)

Jin Xie and Yi Fang*, “Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence “, IEEE Computer Vision and Pattern Recognition (CVPR), 2016 (BibTex)

Meng Wang and Yi Fang*, “Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models”, ACM Multimedia 2016 (ACMMM), 2016

Meng Wang and Yi Fang*, “Local diffusion map signature for symmetry-aware non-rigid shape correspondence”, ACM Multimedia 2016 (ACMMM), 2016

Meng Wang, Jin Xie, Fan Zhu and Yi Fang*, “Linear Discrimination Dictionary Learning for Shape Descriptors”, Pattern Recognition Letters, 2016 (BibTex)

Tiantian Xu, Fan Zhu, Edward Wong and Yi Fang*, “Dual Many-to-One-Encoder-Based Transfer Learning for Cross-Dataset Human Action Recognition”,Image and Vision Computing, 2016 (BibTex)

Fan Zhu, Jin Xie and Yi Fang*, “Pyramid Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval”,The Thirtieth AAAI Conference on Artificial Intelligence, AAAI 2016

Jin Xie, Fan Zhu, Guoxian Dai, Yi Fang*, Deep Progressive Shape-Distribution-Encoder for 3D Shape Retrieval, ACM Multimedia 2015

Jing Zhu, Fan Zhu, Edward Wong, Yi Fang*, Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval, ACM Multimedia 2015

Jin Xie, L. Zhang, J. You and S. Shiu, “Effective Texture Classification by Texton Encoding Induced Statistical Features,” Pattern Recognition, vol. 48, issue 2, pp. 447-457, February 2015

Jin Xie, Yi Fang*, Fan Zhu and Edward Wong, “Deep Shape: Toward Perceptually Consistent Shape Representation”, IEEE Computer Vision and Pattern Recognition (CVPR), 2015

Yi Fang*, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu and Edward Wong, “3D Deep Shape Descriptor”, IEEE Computer Vision and Pattern Recognition (CVPR), 2015

Yi Fang*, Mengtian Sun, Guoxian Dai, and Karthik Ramani, “The intrinsic geometric structure of protein-protein interaction networks for protein interaction prediction”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015

Zhengjian Kang, Edward K. Wong, “Parts-based Multi-task Learning for Visual Tracking,” IEEE International Conference on Image Processing (ICIP), 2015.