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ORCIDYi Fang 0006
Person information
- affiliation: New York University Abu Dhabi, Department of Electrical and Computer Engineering, NYU Multimedia and Visual Computing Laboratory, UAE
- affiliation (former): Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, TN, USA
- affiliation (former): Riverain Technologies, Dayton, OH, USA
- affiliation (former): Siemens, Princeton, NJ, USA
- affiliation (PhD 2011): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Yi Fang — disambiguation page
- Yi Fang 0001 — New York University, Courant Institute of Mathematical Sciences, NY, USA
- Yi Fang 0002 — Xi'an Jiaotong University
- Yi Fang 0003 — Purdue University, Department of Computer Science, West Lafayette, IN, USA
- Yi Fang 0004
![[0000-0002-7264-7327]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7264-7327")
— Jilin University and Business School, Center for Quantitative Economics, China - Yi Fang 0005 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 1 more)
- Yi Fang 0007 — Shantou University, Department of Electronic Engineering, Guangdong, China
- Yi Fang 0008 — Santa Clara University, CA, USA
- Yi Fang 0009 — Shanghai Jiao Tong University, Institute of Image Communication and Network Engineering, China
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2020 – today
- 2024
[j32]Hao Huang, Shuaihang Yuan, Zheng Peng, Yu Hao, Congcong Wen, Yi Fang:
A single 3D shape wavelet-based generative model. Comput. Graph. 119: 103891 (2024)- [j31]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): 103 (2024) - [j30]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: 140-147 (2024) - [c72]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. CVPR 2024: 12289-12301 - [c71]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. ECCV (76) 2024: 251-271 - [c70]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: 501-505 - [c69]Yu Hao, Hao Huang, Shuaihang Yuan, Yi Fang:
Meta-Learning 3D Shape Segmentation Functions. ICARA 2024: 516-520 - [c68]Shuaihang Yuan, Anthony Tzes, Yi Fang:
Reference Convolutional Networks for 3D Deep Point Signature Learning. ICARA 2024: 526-530 - [c67]Hao Huang, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang:
3D-TRANS: 3D Hierarchical Transformer for Shape Correspondence Learning. ICARA 2024: 536-540 - [c66]Hao Huang, Shuaihang Yuan, Congcong Wen, Yu Hao, Yi Fang:
Noisy Few-shot 3D Point Cloud Scene Segmentation. ICRA 2024: 11070-11077 - [c65]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: 15416-15423 - [c64]Muhammad Osama Khan, Yi Fang:
What Is the Best Way to Fine-Tune Self-supervised Medical Imaging Models? MIUA (1) 2024: 267-281 - [i47]Congcong Wen, Jiazhao Liang, Shuaihang Yuan, Hao Huang, Yi Fang:
How Secure Are Large Language Models (LLMs) for Navigation in Urban Environments? CoRR abs/2402.09546 (2024) - [i46]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 abs/2403.19949 (2024) - [i45]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 abs/2407.08813 (2024) - [i44]Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Zheng Peng, Hui Lin, Yu-Shen Liu, Yi Fang:
Enhancing Socially-Aware Robot Navigation through Bidirectional Natural Language Conversation. CoRR abs/2409.04965 (2024) - [i43]Venkata Naren Devarakonda, Ali Umut Kaypak, Shuaihang Yuan, Prashanth Krishnamurthy, Yi Fang, Farshad Khorrami:
MultiTalk: Introspective and Extrospective Dialogue for Human-Environment-LLM Alignment. CoRR abs/2409.16455 (2024) - 2023
- [j29]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): 3251-3265 (2023) - [c63]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CVPR 2023: 13591-13600 - [c62]Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han:
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. CVPR 2023: 21856-21865 - [c61]Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han:
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. ICCV 2023: 17780-17792 - [c60]Yu Hao, Yi Fang:
3D Unsupervised Region-Aware Registration Transformer. ICIP 2023: 2780-2784 - [c59]Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang:
Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA 2023: 4143-4149 - [c58]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: 11436-11442 - [c57]Muhammad Osama Khan, Muhammad Muneeb Afzal, Shujaat Mirza, Yi Fang:
How Fair are Medical Imaging Foundation Models? ML4H@NeurIPS 2023: 217-231 - [c56]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. NeurIPS 2023 - [c55]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. NeurIPS 2023 - [c54]Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. SIGGRAPH Asia 2023: 122:1-122:9 - [i42]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CoRR abs/2305.05873 (2023) - [i41]Muhammad Osama Khan, Yi Fang:
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis. CoRR abs/2307.10915 (2023) - [i40]Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han:
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. CoRR abs/2308.09314 (2023) - [i39]Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. CoRR abs/2309.09211 (2023) - [i38]Yu Hao, Fan Yang, Hao Huang, Shuaihang Yuan, Sundeep Rangan, John-Ross Rizzo, Yao Wang, Yi Fang:
VisPercep: A Vision-Language Approach to Enhance Visual Perception for People with Blindness and Low Vision. CoRR abs/2310.20225 (2023) - [i37]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. CoRR abs/2311.00389 (2023) - [i36]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. CoRR abs/2312.04060 (2023) - 2022
- [j28]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: 29612-29632 (2022) - [j27]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: 20-31 (2022) - [j26]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 Ngô, 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: 104-115 (2022) - [j25]Xiang Li, Mingyang Wang, Yi Fang:
Height Estimation From Single Aerial Images Using a Deep Ordinal Regression Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j24]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: 1-5 (2022) - [j23]Xiang Li, Jingyu Deng, Yi Fang:
Few-Shot Object Detection on Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j22]Lingjing Wang, Nan Zhou, Hao Huang, Jifei Wang, Xiang Li, Yi Fang:
GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c53]Shuaihang Yuan, Xiang Li, Hao Huang, Yi Fang:
Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection. ACCV (1) 2022: 245-261 - [c52]Hao Huang, Cheng Chen, Yi Fang:
Manifold Adversarial Learning for Cross-domain 3D Shape Representation. ECCV (26) 2022: 272-289 - [c51]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: 607-622 - [c50]Hao Huang, Cheng Chen, Yi Fang:
Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. ICIP 2022: 3181-3185 - [c49]Hao Huang, Yi Fang:
Adaptive Wavelet Transformer Network for 3D Shape Representation Learning. ICLR 2022 - [c48]Mengxi Wu, Hao Huang, Yi Fang:
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. ICPR 2022: 4001-4007 - [c47]Muhammad Osama Khan, Yi Fang:
Implicit Neural Representations for Medical Imaging Segmentation. MICCAI (5) 2022: 433-443 - [c46]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. NeurIPS 2022 - [c45]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. NeurIPS 2022 - [i35]Junsheng Zhou, Xin Wen, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. CoRR abs/2203.14084 (2022) - [i34]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 Ngô, 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 abs/2207.04945 (2022) - [i33]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 abs/2208.08477 (2022) - [i32]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 abs/2209.08237 (2022) - [i31]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. CoRR abs/2210.02757 (2022) - [i30]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. CoRR abs/2210.07158 (2022) - 2021
- [j21]Xiang Li, Congcong Wen, Lingjing Wang, Yi Fang:
Topology Constrained Shape Correspondence. IEEE Trans. Vis. Comput. Graph. 27(10): 3926-3937 (2021) - [c44]Hao Huang, Xiang Li, Lingjing Wang, Yi Fang:
3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. 3DV 2021: 982-991 - [c43]Xixuan Julie Liu, Yi Fang:
Virtual Touch: Computer Vision Augmented Touch-Free Scene Exploration for the Blind or Visually Impaired. ICCVW 2021: 1708-1717 - [c42]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: 1718-1726 - [i29]Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang:
Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment. CoRR abs/2106.11911 (2021) - [i28]Hao Huang, Boulbaba Ben Amor, Xichan Lin, Fan Zhu, Yi Fang:
G-VAE, a Geometric Convolutional VAE for ProteinStructure Generation. CoRR abs/2106.11920 (2021) - [i27]Xiang Li, Lingjing Wang, Yi Fang:
Learn to Learn Metric Space for Few-Shot Segmentation of 3D Shapes. CoRR abs/2107.02972 (2021) - [i26]Mengxi Wu, Hao Huang, Yi Fang:
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. CoRR abs/2109.10161 (2021) - [i25]Yu Hao, Yi Fang:
RAR: Region-Aware Point Cloud Registration. CoRR abs/2110.03544 (2021) - [i24]Yu Hao, Yi Fang:
Meta-Learning 3D Shape Segmentation Functions. CoRR abs/2110.03854 (2021) - [i23]Yu Hao, Yi Fang:
3D Meta-Segmentation Neural Network. CoRR abs/2110.04297 (2021) - [i22]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. CoRR abs/2112.13194 (2021) - 2020
- [c41]Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang:
Robust Image Matching By Dynamic Feature Selection. BMVC 2020 - [c40]Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang:
MDA-Net: Memorable Domain Adaptation Network for Monocular Depth Estimation. BMVC 2020 - [c39]Lingjing Wang, Xiang Li, Yi Fang:
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. CVPR 2020: 4503-4512 - [c38]Yi Shi, Mengchen Xu, Shuaihang Yuan, Yi Fang:
Unsupervised Deep Shape Descriptor With Point Distribution Learning. CVPR 2020: 9350-9359 - [c37]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: 422-439 - [c36]Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang:
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. IROS 2020: 8154-8160 - [c35]Jing Zhu, Yi Fang:
Reference Grid-assisted Network for 3D Point Signature Learning from Point Clouds. WACV 2020: 211-220 - [c34]Shuaihang Yuan, Yi Fang:
ROSS: Robust Learning of One-Shot 3D Shape Segmentation. WACV 2020: 1950-1958 - [i21]Xiang Li, Mingyang Wang, Yi Fang:
Height estimation from single aerial images using a deep ordinal regression network. CoRR abs/2006.02801 (2020) - [i20]Xiang Li, Yi Fang:
Geometry-Aware Segmentation of Remote Sensing Images via implicit height estimation. CoRR abs/2006.05848 (2020) - [i19]Lingjing Wang, Xiang Li, Yi Fang:
Unsupervised Learning of 3D Point Set Registration. CoRR abs/2006.06200 (2020) - [i18]Jingyu Deng, Xiang Li, Yi Fang:
Few-shot Object Detection on Remote Sensing Images. CoRR abs/2006.07826 (2020) - [i17]Lingjing Wang, Yi Shi, Xiang Li, Yi Fang:
Unsupervised Learning of Global Registration of Temporal Sequence of Point Clouds. CoRR abs/2006.12378 (2020) - [i16]Shuaihang Yuan, Xiang Li, Yi Fang:
DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow. CoRR abs/2006.13848 (2020) - [i15]Shuaihang Yuan, Xiang Li, Anthony Tzes, Yi Fang:
3DMotion-Net: Learning Continuous Flow Function for 3D Motion Prediction. CoRR abs/2006.13906 (2020) - [i14]Lingjing Wang, Xiang Li, Yi Fang:
GP-Aligner: Unsupervised Non-rigid Groupwise Point Set Registration Based On Optimized Group Latent Descriptor. CoRR abs/2007.12979 (2020) - [i13]Hao Huang, Jianchun Chen, Xiang Li, Lingjing Wang, Yi Fang:
Robust Image Matching By Dynamic Feature Selection. CoRR abs/2008.05708 (2020) - [i12]Xiang Li, Lingjing Wang, Yi Fang:
Unsupervised Partial Point Set Registration via Joint Shape Completion and Registration. CoRR abs/2009.05290 (2020) - [i11]Lingjing Wang, Xiang Li, Yi Fang:
Deep-3DAligner: Unsupervised 3D Point Set Registration Network With Optimizable Latent Vector. CoRR abs/2010.00321 (2020) - [i10]Hao Huang, Lingjing Wang, Xiang Li, Yi Fang:
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence. CoRR abs/2010.11159 (2020) - [i9]Lingjing Wang, Yu Hao, Xiang Li, Yi Fang:
3D Meta-Registration: Learning to Learn Registration of 3D Point Clouds. CoRR abs/2010.11504 (2020)
2010 – 2019
- 2019
- [j20]Zhaoxiang Zhang, Shiguang Shan, Yi Fang, Ling Shao:
Deep Learning for Pattern Recognition. Pattern Recognit. Lett. 119: 1-2 (2019) - [j19]Jing Zhu, John-Ross Rizzo, Yi Fang:
Learning domain-invariant feature for robust depth-image-based 3D shape retrieval. Pattern Recognit. Lett. 119: 24-33 (2019) - [c33]Yunxiao Shi, Haoyu Fang, Jing Zhu, Yi Fang:
Pairwise Attention Encoding for Point Cloud Feature Learning. 3DV 2019: 135-144 - [c32]Xiang Li, Lingjing Wang, Yi Fang:
PC-Net: Unsupervised Point Correspondence Learning with Neural Networks. 3DV 2019: 145-154 - [c31]Jing Zhu, Yi Fang:
Learning Object-Specific Distance From a Monocular Image. ICCV 2019: 3838-3847 - [c30]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: 3817-3822 - [c29]Jianchun Chen, Lingjing Wang, Xiang Li, Yi Fang:
Arbicon-Net: Arbitrary Continuous Geometric Transformation Networks for Image Registration. NeurIPS 2019: 3410-3420 - [e1]Xiang Bai, Yi Fang, Yangqing Jia, Meina Kan, Shiguang Shan, Chunhua Shen, Jingdong Wang, Gui-Song Xia, Shuicheng Yan, Zhaoxiang Zhang, Kamal Nasrollahi, Gang Hua, Thomas B. Moeslund, Qiang Ji:
Video Analytics. Face and Facial Expression Recognition - Third International Workshop, FFER 2018, and Second International Workshop, DLPR 2018, Beijing, China, August 20, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11264, Springer 2019, ISBN 978-3-030-12176-1 [contents] - [i8]Lingjing Wang, Jianchun Chen, Xiang Li, Yi Fang:
Non-Rigid Point Set Registration Networks. CoRR abs/1904.01428 (2019) - [i7]Lingjing Wang, Yi Fang:
Coherent Point Drift Networks: Unsupervised Learning of Non-Rigid Point Set Registration. CoRR abs/1906.03039 (2019) - [i6]Jing Zhu, Yi Fang, Husam Abu-Haimed, Kuo-Chin Lien, Dongdong Fu, Junli Gu:
Learning Object-specific Distance from a Monocular Image. CoRR abs/1909.04182 (2019) - [i5]Jing Zhu, Yunxiao Shi, Mengwei Ren, Yi Fang, Kuo-Chin Lien, Junli Gu:
Structure-Attentioned Memory Network for Monocular Depth Estimation. CoRR abs/1909.04594 (2019) - [i4]Yunxiao Shi, Jing Zhu, Yi Fang, Kuo-Chin Lien, Junli Gu:
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment. CoRR abs/1909.13163 (2019) - [i3]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 abs/1910.05909 (2019) - 2018
- [j18]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): 3680-3687 (2018) - [j17]Jin Xie, Guoxian Dai, Fan Zhu, Ling Shao, Yi Fang:
Deep Nonlinear Metric Learning for 3-D Shape Retrieval. IEEE Trans. Cybern. 48(1): 412-422 (2018) - [j16]Lin Xu, Shaobo Lin, Jinshan Zeng, Xia Liu, Yi Fang, Zongben Xu:
Greedy Criterion in Orthogonal Greedy Learning. IEEE Trans. Cybern. 48(3): 955-966 (2018) - [j15]Guoxian Dai, Jin Xie, Yi Fang:
Deep Correlated Holistic Metric Learning for Sketch-Based 3D Shape Retrieval. IEEE Trans. Image Process. 27(7): 3374-3386 (2018) - [c28]Jing Zhu, Jin Xie, Yi Fang:
Learning Adversarial 3D Model Generation With 2D Image Enhancer. AAAI 2018: 7615-7622 - [c27]Jiaxin Chen, Yi Fang:
Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval. ECCV (13) 2018: 624-640 - [c26]Guoxian Dai, Jin Xie, Yi Fang:
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning. IJCAI 2018: 670-676 - [c25]Fan Zhu, Li Liu, Jin Xie, Fumin Shen, Ling Shao, Yi Fang:
Learning to Synthesize 3D Indoor Scenes from Monocular Images. ACM Multimedia 2018: 501-509 - [c24]Jing Zhu, Yi Fang:
Learning Local Descriptors with Adversarial Enhancer from Volumetric Geometry Patches. ACM Multimedia 2018: 1466-1474 - [c23]Lingjing Wang, Cheng Qian, Jifei Wang, Yi Fang:
Unsupervised Learning of 3D Model Reconstruction from Hand-Drawn Sketches. ACM Multimedia 2018: 1820-1828 - [i2]Jiaxin Chen, Yi Fang:
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval. CoRR abs/1807.01806 (2018) - 2017
- [j14]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): 1335-1345 (2017) - [j13]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): 1231-1242 (2017) - [j12]Jin Xie, Guoxian Dai, Yi Fang:
Deep Multimetric Learning for Shape-Based 3D Model Retrieval. IEEE Trans. Multim. 19(11): 2463-2474 (2017) - [c22]Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang:
Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval. AAAI 2017: 4002-4008 - [c21]Jin Xie, Guoxian Dai, Fan Zhu, Yi Fang:
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval. CVPR 2017: 3615-3623 - [c20]Naman Patel, Prashanth Krishnamurthy, Yi Fang, Farshad Khorrami:
Reducing Operator Workload for Indoor Navigation of Autonomous Robots via Multimodal Sensor Fusion. HRI (Companion) 2017: 253-254 - [c19]Liang Niu, Cheng Qian, John-Ross Rizzo, Todd E. Hudson, Zichen Li, Shane Enright, Eliot Sperling, Kyle Conti, Edward K. 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 Workshops 2017: 1500-1508 - [c18]Guoxian Dai, Jin Xie, Yi Fang:
Metric-based Generative Adversarial Network. ACM Multimedia 2017: 672-680 - [c17]Meng Wang, Lingjing Wang, Yi Fang:
3DensiNet: A Robust Neural Network Architecture towards 3D Volumetric Object Prediction from 2D Image. ACM Multimedia 2017: 961-969 - [i1]Lingjing Wang, Yi Fang:
Unsupervised 3D Reconstruction from a Single Image via Adversarial Learning. CoRR abs/1711.09312 (2017) - 2016
- [j11]Fan Zhu, Ling Shao, Yi Fang:
Boosted Cross-Domain Dictionary Learning for Visual Categorization. IEEE Intell. Syst. 31(3): 6-18 (2016) - [j10]Fan Zhu, Ling Shao, Jin Xie, Yi Fang:
From handcrafted to learned representations for human action recognition: A survey. Image Vis. Comput. 55: 42-52 (2016) - [j9]Jin Xie, Yi Fang:
Dynamic texture recognition with video set based collaborative representation. Image Vis. Comput. 55: 86-92 (2016) - [j8]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: 127-137 (2016) - [j7]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: 330-338 (2016) - [j6]Meng Wang, Jin Xie, Fan Zhu, Yi Fang:
Linear discrimination dictionary learning for shape descriptors. Pattern Recognit. Lett. 83: 349-356 (2016) - [j5]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): 76-85 (2016) - [c16]Fan Zhu, Jin Xie, Yi Fang:
Learning Cross-Domain Neural Networks for Sketch-Based 3D Shape Retrieval. AAAI 2016: 3683-3689 - [c15]Jin Xie, Meng Wang, Yi Fang:
Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence. CVPR 2016: 3309-3317 - [c14]Fan Zhu, Jin Xie, Yi Fang:
Heat Diffusion Long-Short Term Memory Learning for 3D Shape Analysis. ECCV (7) 2016: 305-321 - [c13]Meng Wang, Yi Fang:
Local Diffusion Map Signature for Symmetry-aware Non-rigid Shape Correspondence. ACM Multimedia 2016: 526-530 - [c12]Meng Wang, Yi Fang:
Global Consistent Shape Correspondence for Efficient and Effective Active Shape Models. ACM Multimedia 2016: 556-560 - 2015
- [c11]Jin Xie, Yi Fang, Fan Zhu, Edward K. Wong:
Deepshape: Deep learned shape descriptor for 3D shape matching and retrieval. CVPR 2015: 1275-1283 - [c10]Yi Fang, Jin Xie, Guoxian Dai, Meng Wang, Fan Zhu, Tiantian Xu, Edward K. Wong:
3D deep shape descriptor. CVPR 2015: 2319-2328 - [c9]Jin Xie, Fan Zhu, Guoxian Dai, Yi Fang:
Progressive Shape-Distribution-Encoder for 3D Shape Retrieval. ACM Multimedia 2015: 1167-1170 - [c8]Jing Zhu, Fan Zhu, Edward K. Wong, Yi Fang:
Learning Pairwise Neural Network Encoder for Depth Image-based 3D Model Retrieval. ACM Multimedia 2015: 1227-1230 - 2014
- [c7]Kaimo Hu, Yi Fang:
3D Laplacian Pyramid Signature. ACCV Workshops (3) 2014: 306-321 - [c6]Yi Fang, Mengtian Sun, Guoxian Dai, Karthik Ramani:
Global Voting Model for Protein Function Prediction from Protein-Protein Interaction Networks. ICIC (3) 2014: 466-477 - [c5]Yi Fang, Mengtian Sun, Guoxian Dai, Karthik Ramani:
The Intrinsic Geometric Structure of Protein-Protein Interaction Networks for Protein Interaction Prediction. ICIC (3) 2014: 487-493 - 2012
- [j4]Manish Goyal, Sundar Murugappan, Cecil Piya, William Benjamin, Yi Fang, Min Liu, Karthik Ramani:
Towards locally and globally shape-aware reverse 3D modeling. Comput. Aided Des. 44(6): 537-553 (2012) - [c4]Mengtian Sun, Yi Fang, Karthik Ramani:
Center-Shift: An approach towards automatic robust mesh segmentation (ARMS). CVPR 2012: 630-637 - 2011
- [c3]Yi Fang, Mengtian Sun, Karthik Ramani:
Temperature distribution descriptor for robust 3D shape retrieval. CVPR Workshops 2011: 9-16 - [c2]Yi Fang, Mengtian Sun, S. V. N. Vishwanathan, Karthik Ramani:
sLLE: Spherical locally linear embedding with applications to tomography. CVPR 2011: 1129-1136 - [c1]Yi Fang, Mengtian Sun, Minhyong Kim, Karthik Ramani:
Heat-mapping: A robust approach toward perceptually consistent mesh segmentation. CVPR 2011: 2145-2152 - 2010
- [j3]Yi Fang, Sundar Murugappan, Karthik Ramani:
Estimating view parameters from random projections for Tomography using spherical MDS. BMC Medical Imaging 10: 12 (2010)
2000 – 2009
- 2009
- [j2]Yu-Shen Liu, Yi Fang, Karthik Ramani:
Using least median of squares for structural superposition of flexible proteins. BMC Bioinform. 10 (2009) - [j1]Yu-Shen Liu, Yi Fang, Karthik Ramani:
IDSS: deformation invariant signatures for molecular shape comparison. BMC Bioinform. 10 (2009)
Coauthor Index
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