Chen Fang

Research Scientist
Adobe Research
Adobe Systems Incorporated

cfang [at] adobe [dot] com

I received my Ph.D. in Computer Science from Dartmouth College, under the supervision of Prof. Dan Rockmore.

Research Interest

  • Computer Vision: image understanding, image search, image editing, generative models, NLP-related
  • Machine Learning: deep learning, personalization
  • News

  • [2017.02.27] Four papers are accepted at CVPR 2017.
  • [2016.12.21] One paper is accepted at WWW 2017.
    [Past News]
  • Publications

    Diversified Texture Synthesis with Feed-forward Networks
    Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Spotlight) 2017
    [preprint]
    Scribbler: Controlling Deep Image Synthesis with Sketch and Color
    Patsorn Sangkloy, Jingwan Lu, Chen Fang, Fisher Yu and James Hays
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
    [preprint]
    Personalizing Software and Web Services by Integrating Unstructured Application Usage Traces
    Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman, and Deborah Estrin
    International World Wide Web Conference (WWW) 2017
    [preprint]
    Joint Image-Text Representation by Gaussian Visual Semantic Embedding
    Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, and Alan Yuille
    ACM Multimedia (MM) 2016
    [preprint]
    Vista: A visually, socially, and temporally-aware model for artistic recommendation
    Ruining He, Chen Fang, Zhaowen Wang, Julian McAuley
    ACM Conference on Recommender Systems (RecSys) 2016
    [preprint]
    Image Captioning with Semantic Attention
    Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, Jiebo Luo
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016
    [preprint]
    Collaborative Feature Learning from Social Media
    Chen Fang, Hailin Jin, Jianchao Yang and Zhe Lin
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015
    [preprint] [BiBTex]
    Multi-Task Metric Learning on Network Data
    Chen Fang, and Daniel N. Rockmore
    Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2015
    [preprint] [BiBTex]
    Automatic Image Cropping using Visual Composition, Boundary Simplicity and Content Preservation Models
    Chen Fang, Zhe Lin, Radomir Mech, and Xiaohui Shen
    ACM Multimedia (MM) 2014
    Algorithm developed in this paper has been chosen to be shipped with couple of products in Photoshop, enabling new automatic image cropping feature! US patents pending.
    (Dataset available)
    [PDF] [Supplemental] [Project Page] [Dataset:crops] [Dataset:images] [BiBTex]
    Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias
    Chen Fang, Ye Xu, and Daniel N. Rockmore
    International Conference on Computer Vision (ICCV) 2013
    [PDF] [Project Page] [BiBTex]
    Measuring Image Distances via Embedding in a Semantic Manifold
    Chen Fang, and Lorenzo Torresani
    European Conference on Computer Vision (ECCV) 2012
    [PDF] [Project Page] [BiBTex]
    Scalable Object-Class Retrieval with Approximate and Top-k Ranking
    Chen Fang*, Mohammad Rastegari*, and Lorenzo Torresani (*:equal contribution)
    International Conference on Computer Vision (ICCV) 2011
    [PDF] [Project Page] [BiBTex]
    Analysis of Texture Images Generated by Olfactory System Bionic Model
    Chen Fang, Jin Zhang, Shangwu Zhu, Guang Li, and Rulong Wang
    International Symposium on Neural Networks (ISNN) 2010
    On Color Texture Generating Based on Simplified KIII Model
    Chen Jian-zhou, Zhang Jin, Chen Fang, Zhao Li-juan, Hans Liljenstrom
    IEEE/ACIS International Conference on Computer and Information Science (ICIS) 2009

    Software

    The VLG Classeme Extractor
    Link
    Usage: Refer to the manual

    Personal

  • I grew up in Jinhua, Zhejiang, China, which is a peaceful and vibrant city along the east coast.
  • I am married to the amazing Yuting Sun. We met at Dartmouth.