Yen-Liang Lin (林彥良)
Senior applied scientist at Amazon
About me
I am a Senior Applied Scientist at Amazon, focusing on computer vision, machine learning, and multimodal LLMs for fashion. Previously, I worked as a Computer Vision Scientist at GE Global Research and a Postdoc at NVIDIA-NTU AI Lab. I obtained my Ph.D. in Computer Science from National Taiwan University under Prof. Winston Hsu. I had a research visit at University of Maryland working with Prof. Larry Davis.
Working Experience
Senior Applied Scientist, Amazon, California, USA (05/2022 ~ Now)
Applied Scientist, Amazon A9 Visual Search, California, USA (08/2019 ~ 02/2021)
Computer Vision Scientist, GE Global Research, New York, USA (12/2016 ~ 06/2019)
Postdoctoral Researcher, NVIDIA-NTU AI Lab, Taipei, Taiwan (03/2016 ~ 11/2016)
Visiting Scholar, University of Maryland, College Park, MD, USA (05/2013 ~ 03/2014)
Publications
Text2Outfit: Controllable Outfit Generation with Multimodal Language Models
Yuanhao Zhai, Yen-Liang Lin, Minxu Peng, Larry S. Davis, Ashwin Chandramouli, Junsong Yuan, David Doermann
ICCV 2025 [pdf]
SLADE: A Self-Training Framework for Distance Metric Learning
Jiali Duan, Yen-Liang Lin, Son Tran, Larry S. Davis, C.-C. Jay Kuo
CVPR 2021 [pdf]
Fashion Outfit Complementary Item Retrieval
Yen-Liang Lin, Son Tran, Larry S. Davis
CVPR 2020 [pdf]
A Unified Point-Based Framework for 3D Segmentation
Hung-Yueh Chiang, Yen-Liang Lin, Yueh-Cheng Liu, Winston Hsu
3DV 2019 [pdf], CVPR workshop 2019 (2nd place at ScanNet challenge)
DCAN: Dual Channel-Wise Alignment Networks for Unsupervised Scene Adaptation
Zuxuan Wu, Xintong Han, Yen-Liang Lin, Mustafa Gkhan Uzunbas, Tom Goldstein, Ser Nam Lim, Larry S. Davis
ECCV 2018 [pdf]
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Meng-Ju Hsieh, Yen-Liang Lin, Winston Hsu
ICCV 2017 [pdf]
Joint Sequence Learning and Cross-Modality Convolution for 3D Biomedical Segmentation
Kuan-Lun Tseng, Yen-Liang Lin, Winston Hus, Chung-Yang Huang
CVPR 2017 [pdf]
Scalable Object Detection by Filter Compression with Regularized Sparse Coding
Ting-Hsuan Chao, Yen-Liang Lin, Yin-Hsi Kuo, Winston Hsu
CVPR 2015 [pdf]
3D Representation for Recognition and Retrieval
Yen-Liang Lin
CVPR 2015 (Doctoral consortium)
Jointly Optimizing 3D Model Fitting and Fine-Grained Classification
Yen-Liang Lin, Vlad I. Morariu, Winston Hsu, Larry S. Davis
ECCV 2014 [pdf][code & dataset]
3D Sub-Query Expansion for Improving Sketch-Based Multi-View Image Retrieval
Yen-Liang Lin, Cheng-Yu Huang, Hao-Jeng Wang, Winston Hsu
ICCV 2013 [pdf]
Investigating 3D Model and Part Information for Improving Content-Based Vehicle Retrieval
Yen-Liang Lin, Ming-Kuang Tsai, Winston Hsu, Chih-Wei Chen
IEEE TCSVT 2013
US Patent
12248872 - Machine learning framework for personalized clothing compatibility (03/11/2025)
11645693 - Complementary consumer item selection (2023/5/9)
US20210103726A1 - Building footprint (2021/04/08)
10475174 - Visual anomaly detection system (2019/11/12)
US Government Projects
CORE3D (IARPA) - Collaboration with UMD, CMU, Cornel, TU Graz
Develop technology to automatically generate 3D building models from satellite imagery
Top-2 performing teams of the program.