Yi Fang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 93

Top Topics

Shape Retrieval

Supervised Learning

Top Venues

Pattern Recognit. Lett.

Publications

Hao Huang, Shuaihang Yuan, Zheng Peng, Yu Hao, Congcong Wen, Yi Fang
A single 3D shape wavelet-based generative model. Comput. Graph. 119 (2024)
Muhammad Osama Khan, Yi Fang
What Is the Best Way to Fine-Tune Self-supervised Medical Imaging Models? MIUA (1) (2024)
Hao Huang, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang
Noisy Few-shot 3D Point Cloud Scene Segmentation. ICRA (2024)
Yu Tian, Congcong Wen, Min Shi, Muhammad Muneeb Afzal, Hao Huang, Muhammad Osama Khan, Yan Luo, Yi Fang, Mengyu Wang
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification. CoRR (2024)
Hao Huang, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang
3D-TRANS: 3D Hierarchical Transformer for Shape Correspondence Learning. ICARA (2024)
Shuaihang Yuan, Muhammad Shafique, Mohamed Riyadh Baghdadi, Farshad Khorrami, Anthony Tzes, Yi Fang
Zero-shot Object Navigation with Vision-Language Foundation Models Reasoning. ICARA (2024)
Hao Huang, Lingjing Wang, Xiang Li, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang
Learning to learn point signature for 3D shape geometry. Pattern Recognit. Lett. 184 (2024)
Yu Hao, Fan Yang, Hao Huang, Shuaihang Yuan, Sundeep Rangan, John-Ross Rizzo, Yao Wang, Yi Fang
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction. J. Imaging 10 (5) (2024)
Yan Luo, Min Shi, Muhammad Osama Khan, Muhammad Muneeb Afzal, Hao Huang, Shuaihang Yuan, Yu Tian, Luo Song, Ava Kouhana, Tobias Elze, Yi Fang, Mengyu Wang
FairCLIP: Harnessing Fairness in Vision-Language Learning. CoRR (2024)
Yu Hao, Hao Huang, Shuaihang Yuan, Yi Fang
Meta-Learning 3D Shape Segmentation Functions. ICARA (2024)
Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. ICRA (2024)
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. IROS (2023)
Xiang Li, Lingjing Wang, Yi Fang
Unsupervised Category-Specific Partial Point Set Registration via Joint Shape Completion and Registration. IEEE Trans. Vis. Comput. Graph. 29 (7) (2023)
Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang
Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA (2023)
Shuaihang Yuan, Xiang Li, Hao Huang, Yi Fang
Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection. ACCV (1) (2022)
Mengxi Wu, Hao Huang, Yi Fang
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. ICPR (2022)
Xiang Li, Mingyang Wang, Yi Fang
Height Estimation From Single Aerial Images Using a Deep Ordinal Regression Network. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang
Geometry-Aware Segmentation of Remote Sensing Images via Joint Height Estimation. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
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. CoRR (2022)
Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, 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
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild. CoRR (2022)
Luca Gagliardi, Andrea Raffo, Ulderico Fugacci, Silvia Biasotti, Walter Rocchia, Hao Huang, Boulbaba Ben Amor, Yi Fang, Yuanyuan Zhang, Xiao Wang, Charles Christoffer, Daisuke Kihara, Apostolos Axenopoulos, Stelios K. Mylonas, Petros Daras
SHREC 2022: Protein-ligand binding site recognition. Comput. Graph. 107 (2022)
Hao Huang, Cheng Chen, Yi Fang
Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. ICIP (2022)
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. CoRR (2022)
Jie Qin, Shuaihang Yuan, Jiaxin Chen, Boulbaba Ben Amor, Yi Fang, 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
SHREC'22 track: Sketch-based 3D shape retrieval in the wild. Comput. Graph. 107 (2022)
Zhongzheng Yuan, Tommy Azzino, Yu Hao, Yixuan Lyu, Haoyang Pei, Alain Boldini, Marco Mezzavilla, Mahya Beheshti, Maurizio Porfiri, Todd E. Hudson, William H. 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 10 (2022)
Hao Huang, Yi Fang
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning. ICLR (2022)
Hao Huang, Cheng Chen, Yi Fang
Manifold Adversarial Learning for Cross-domain 3D Shape Representation. ECCV (26) (2022)
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. ECCV Workshops (6) (2022)
Xiang Li, Jingyu Deng, Yi Fang
Few-Shot Object Detection on Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang
Topology Constrained Shape Correspondence. IEEE Trans. Vis. Comput. Graph. 27 (10) (2021)
Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. CoRR (2021)
Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. CoRR (2021)
Xiang Li, Lingjing Wang, Yi Fang
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes. CoRR (2021)
Mengxi Wu, Hao Huang, Yi Fang
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. CoRR (2021)
Hao Huang, Xiang Li, Lingjing Wang, Yi Fang
3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. 3DV (2021)
Daohan Lu, Yi Fang
Audi-Exchange: AI-Guided Hand-based Actions to Assist Human-Human Interactions for the Blind and the Visually Impaired. ICCVW (2021)
Shuaihang Yuan, Xiang Li, Yi Fang
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow. CoRR (2020)
Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang
MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation. BMVC (2020)
Jing Zhu, Yi Fang
Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds. WACV (2020)
Xiang Li, Lingjing Wang, Yi Fang
Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration. CoRR (2020)
Samridha Shrestha, Daohan Lu, Hanlin Tian, Qiming Cao, Julie Liu, John-Ross Rizzo, William H. Seiple, Maurizio Porfiri, Yi Fang
Active Crowd Analysis for Pandemic Risk Mitigation for Blind or Visually Impaired Persons. ECCV Workshops (4) (2020)
Lingjing Wang, Xiang Li, Yi Fang
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. CVPR (2020)
Shuaihang Yuan, Yi Fang
ROSS: Robust Learning of One-Shot 3D Shape Segmentation. WACV (2020)
Xiang Li, Mingyang Wang, Yi Fang
Height estimation from single aerial images using a deep ordinal regression network. CoRR (2020)
Lingjing Wang, Xiang Li, Yi Fang
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. CoRR (2020)
Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang
Robust Image Matching By Dynamic Feature Selection. BMVC (2020)
Lingjing Wang, Xiang Li, Yi Fang
Unsupervised Learning of 3D Point Set Registration. CoRR (2020)
Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. CoRR (2020)
Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. IROS (2020)
Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang
Unsupervised Deep Shape Descriptor With Point Distribution Learning. CVPR (2020)
Xiang Li, Yi Fang
Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation. CoRR (2020)
Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang
Robust Image Matching By Dynamic Feature Selection. CoRR (2020)
Hao Huang, Lingjing Wang, Xiang Li, Yi Fang
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence. CoRR (2020)
Lingjing Wang, Yu Hao, Xiang Li, Yi Fang
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds. CoRR (2020)
Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang, Kuo-Chin Lien, Junli Gu
Structure-Attentioned Memory Network for Monocular Depth Estimation. CoRR (2019)
Lingjing Wang, Jianchun Chen, Xiang Li, Yi Fang
Non-Rigid Point Set Registration Networks. CoRR (2019)
Xiang Li, Lingjing Wang, Yi Fang
PC-Net: Unsupervised Point Correspondence Learning with Neural Networks. 3DV (2019)
Jing Zhu, Yi Fang
Learning Object-Specific Distance From a Monocular Image. ICCV (2019)
Jing Zhu, Yi Fang, Husam Abu-Haimed, Kuo-Chin Lien, Dongdong Fu, Junli Gu
Learning Object-specific Distance from a Monocular Image. CoRR (2019)
Jianchun Chen, Lingjing Wang, Xiang Li, Yi Fang
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration. NeurIPS (2019)
Jing Zhu, John-Ross Rizzo, Yi Fang
Learning domain-invariant feature for robust depth-image-based 3D shape retrieval. Pattern Recognit. Lett. 119 (2019)
Zhaoxiang Zhang, Shiguang Shan, Yi Fang, Ling Shao
Deep Learning for Pattern Recognition. Pattern Recognit. Lett. 119 (2019)
Yunxiao Shi, Jing Zhu, Yi Fang, Kuo-Chin Lien, Junli Gu
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment. CoRR (2019)
Xiang Li, Mingyang Wang, Congcong Wen, Lingjing Wang, Nan Zhou, Yi Fang
Density-Aware Convolutional Networks with Context Encoding for Airborne LiDAR Point Cloud Classification. CoRR (2019)
Wenjun Gui, Bingyu Li, Shuaihang Yuan, John-Ross Rizzo, Lakshay Sharma, Chen Feng, Anthony Tzes, Yi Fang
An assistive low-vision platform that augments spatial cognition through proprioceptive guidance: Point-to-Tell-and-Touch. IROS (2019)
Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu
Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. 48 (3) (2018)
Jing Zhu, Yi Fang
Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches. ACM Multimedia (2018)
Jing Zhu, Jin Xie, Yi Fang
Learning Adversarial 3D Model Generation With 2D Image Enhancer. AAAI (2018)
Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang
Deep Nonlinear Metric Learning for 3-D Shape Retrieval. IEEE Trans. Cybern. 48 (1) (2018)
Jiaxin Chen, Yi Fang
Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval. ECCV (13) (2018)
Guoxian Dai, Jin Xie, Yi Fang
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 27 (7) (2018)
Xiang Li, Xiaojing Yao, Yi Fang
Building-A-Nets: Robust Building Extraction From High-Resolution Remote Sensing Images With Adversarial Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (10) (2018)
Guoxian Dai, Jin Xie, Yi Fang
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning. IJCAI (2018)
Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia (2018)
Jin Xie, Guoxian Dai, Yi Fang
Deep Multimetric Learning for Shape-Based 3D Model Retrieval. IEEE Trans. Multim. 19 (11) (2017)
Jin Xie, Guoxian Dai, Fan Zhu, Edward K. Wong, Yi Fang
DeepShape: Deep-Learned Shape Descriptor for 3D Shape Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 39 (7) (2017)
Jin Xie, Fan Zhu, Guoxian Dai, Ling Shao, Yi Fang
Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation. IEEE Trans. Image Process. 26 (3) (2017)
Guoxian Dai, Jin Xie, Yi Fang
Metric-based Generative Adversarial Network. ACM Multimedia (2017)
Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. CVPR (2017)
Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. AAAI (2017)
Meng Wang, Lingjing Wang, Yi Fang
3DensiNet: A Robust Neural Network Architecture towards 3D Volumetric Object Prediction from 2D Image. ACM Multimedia (2017)
Meng Wang, Yi Fang
Local Diffusion Map Signature for Symmetry-aware Non-rigid Shape Correspondence. ACM Multimedia (2016)
Fan Zhu, Jin Xie, Yi Fang
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. AAAI (2016)
Meng Wang, Jin Xie, Fan Zhu, Yi Fang
Linear discrimination dictionary learning for shape descriptors. Pattern Recognit. Lett. 83 (2016)
Fan Zhu, Ling Shao, Yi Fang
Boosted Cross-Domain Dictionary Learning for Visual Categorization. IEEE Intell. Syst. 31 (3) (2016)
Jin Xie, Yi Fang
Dynamic texture recognition with video set based collaborative representation. Image Vis. Comput. 55 (2016)
Fan Zhu, Jin Xie, Yi Fang
Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis. ECCV (7) (2016)
Jin Xie, Meng Wang, Yi Fang
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence. CVPR (2016)
Meng Wang, Yi Fang
Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models. ACM Multimedia (2016)
Fan Zhu, Ling Shao, Jin Xie, Yi Fang
From handcrafted to learned representations for human action recognition: A survey. Image Vis. Comput. 55 (2016)
Yi Fang, Mengtian Sun, Guoxian Dai, Karthik Ramani
The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (1) (2016)
Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang
Learning a discriminative deformation-invariant 3D shape descriptor via many-to-one encoder. Pattern Recognit. Lett. 83 (2016)
Tiantian Xu, Fan Zhu, Edward K. Wong, Yi Fang
Dual many-to-one-encoder-based transfer learning for cross-dataset human action recognition. Image Vis. Comput. 55 (2016)
Jing Zhu, Fan Zhu, Edward K. Wong, Yi Fang
Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval. ACM Multimedia (2015)
Jin Xie, Fan Zhu, Guoxian Dai, Yi Fang
Progressive Shape-Distribution-Encoder for 3D Shape Retrieval. ACM Multimedia (2015)
Jin Xie, Yi Fang, Fan Zhu, Edward K. Wong
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval. CVPR (2015)
Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu, Edward K. Wong
3D deep shape descriptor. CVPR (2015)
Yi Fang, Mengtian Sun, Guoxian Dai, Karthik Ramani
Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks. ICIC (3) (2014)
Yi Fang, Mengtian Sun, Guoxian Dai, Karthik Ramani
The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction. ICIC (3) (2014)