Research Scientist
Adobe Research
Adobe Systems Incorporated

fangchen1988 [at] gmail [dot] com

I received my Ph.D. in Computer Science from Dartmouth College.

Research Interest

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

  • [2018年07月24日] 3 papers accepted to ECCV 2018. Stay tuned for details.
  • [2018年07月23日] 1 paper accepted to BMVC 2018. Stay tuned for details.
  • [2018年07月22日] 1 paper accepted to ACM Transactions on Intelligent Systems and Technology (TIST).
  • [2018年03月28日] 2 papers accepted to CVPR 2018. Stay tuned for details.
  • [2017年12月09日] Two Minute Papers featured our NIPS 2017 paper on Universal Style Transfer .
  • [2017年11月28日] The Merkle, EurekAlert!, UCSD CSE Newsletter, FOSSBYTES, DailyMail, Hindustan Times, The Irish News, BT, Quartzy, Gadgets Now, Newswise, TechXplore, Yahoo Finance, Tech You n Me, Science Codex and ScienceDaily featured our ICDM 2017 paper .
  • [2017年11月16日] MIT Tech Review featured our ICDM 2017 paper on personalized fashion generation.
  • [2017年09月05日] 1 paper accepted to NIPS 2017.
  • [2017年09月05日] 1 paper accepted to ICDM 2017.
  • [2017年07月16日] Our BAM dataset is released! Please try it with your favorioute vision and Learning problems.
  • [2017年07月16日] 2 papers accepted to ICCV 2017.
  • [2017年07月15日] 1 paper accepted to BMVC 2017.
  • [2017年05月23日] 1 paper accepted to RepL4NLP@ACL 2017.
  • [2017年02月27日] 4 papers accepted to CVPR 2017.
  • [2016年12月21日] 1 paper accepted to WWW 2017.
  • [2016年08月25日] 1 paper accepted to ACM MM 2016.
  • [2016年06月14日] 1 paper accepted to RecSys 2016.
  • [2016年03月01日] 1 paper accepted to CVPR 2016, describing an image captioning system that is among the top performers of Microsoft COCO Captioning Challenge since November 2015.
  • [2015年07月06日] I joined Adobe Research as a research scientist.
  • [2015年03月01日] 1 paper accpeted to CVPR 2015.
  • [2015年02月06日] 1 paper accpeted to PAKDD 2015.
  • [2014年10月06日] Thanks to NVIDIA Corporation for a hardware donation to support my research.
  • [2014年09月12日] Automatic image cropping dataset of MM'14 paper is released.
  • [2014年08月23日] Thanks to Adobe Research for funding my research.
  • [2014年07月08日] 1 paper accepted to ACM Multimedia 2014.
  • [2014年04月14日] Data of our iccv13 paper is released (deep learning features for some images in Caltech101, ImageNet, SUN09, VOC2007, LabelMe).
  • [2014年02月21日] I will intern to Adobe Research (San Jose, CA) this summer.
  • [2013年11月21日] Received Student Travel Grant for attending ICCV 2013.
  • [2013年09月24日] Received Neukom Travel Grant for attending ICCV 2013 from Neukom Institute.
  • [2013年09月04日] 1 paper accepted in ICCV 2013.
  • [2013年06月17日] Started summer internship at Adobe Research (San Jose, CA).
  • [2012年10月15日] I am working with Prof. Dan Rockmore now.
  • [2012年06月25日] 1 paper accpeted to ECCV 2012.
  • [2012年09月25日] Received Neukom Travel Grant for attending ICCV 2011 from Neukom Institute.
  • [2011年06月30日] 1 paper accpeted to ICCV 2011.
  • Publications

    Visually Indicated Sound Generation by Perceptually Optimized Classification
    Kan Chen*, Chuanxi Zhang*, Chen Fang, Zhaowen Wang, Trung Bui and Ram Nevatia
    Multimodal Learning and Applications Workshop (MULA@ECCV 2018) (Best Paper)
    [preprint]
    Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding
    Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, and Virginia de Sa
    Workshop on Representation Learning for NLP (RepL4NLP@ACL 2018)
    [preprint]
    Flow-Grounded Spatial-Temporal Video Prediction from Still Images
    Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, and Ming-Hsuan Yang
    European Conference on Computer Vision (ECCV) 2018
    [preprint]
    "Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention
    Tianlang Chen, Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin and Jiebo Luo
    European Conference on Computer Vision (ECCV) 2018
    [preprint]
    Product Quantization Network for Fast Image Retrieval
    Tan Yu, Junsong Yuan, Chen Fang, and Hailin Jin
    European Conference on Computer Vision (ECCV) 2018
    [preprint]
    Learning to Doodle with Deep Q-Networksand Demonstrated Strokes
    Tao Zhou, Chen Fang, Zhaowen Wang, Jimei Yang, Byungmoon Kim, Zhili Chen, Jonathan Brandt and Demetri Terzopoulos
    British Machine Vision Conference (BMVC) (Spotlight) 2018
    [preprint]
    Characterizing User Skills from Application Usage Traces with Hierarchical Attention Recurrent Networks
    Longqi Yang, Chen Fang, Hailin Jin, Matthew D. Hoffman and Deborah Estrin
    ACM Transactions on Intelligent Systems and Technology (TIST) 2018
    [to appear]
    TextureGAN: Controlling Deep Image Synthesis with Texture Patches
    Wenqi Xian, Patsorn Sangkloy, Varun Agrawal, Amit Raj, Jingwan Lu, Chen Fang, Fisher Yu and James Hays
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Spotlight) 2018
    [preprint]
    Visual to Sound: Generating Natural Sound for Videos in the Wild
    Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui and Tamara L. Berg
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018
    [preprint] [Project Page]
    Universal Style Transfer via Feature Transforms
    Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu and Ming-Hsuan Yang
    Neural Information Processing Systems (NIPS) 2017
    [preprint] [Code]
    Media Coverages: [Two Minute Papers]
    Visually-Aware Fashion Recommendation and Design with Generative Image Models
    Wang-Cheng Kang, Chen Fang, Zhaowen Wang and Julian McAuley
    International Conference on Data Mining (ICDM) 2017
    [preprint]
    Media Coverages: [MIT Technology Review] [The Merkle] [DailyMail] [EurekAlert!] [UCSD CSE Newsletter] [FOSSBYTES] [Hindustan Times] [The Irish News] [BT] [Quartzy] [Gadgets Now] [ScienceDaily] [Newswise] [TechXplore] [Yahoo Finance] [Tech You n Me] [Science Codex]
    BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
    Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John Collomosse and Serge Belongie
    International Conference on Computer Vision (ICCV) 2017
    [preprint] [Dataset]
    Sketching with Style: Visual Search with Sketches and Aesthetic Context
    John Collomosse, Tu Bui, Michael Wilber, Chen Fang and Hailin Jin
    International Conference on Computer Vision (ICCV) 2017
    [preprint]
    Multiple Instance Visual-Semantic Embedding
    Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, and Alan Yuille
    British Machine Vision Conference (BMVC) (Oral) 2017
    [preprint]
    Rethinking Skip-thought: A Neighborhood based Approach
    Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, and Virginia de Sa
    Workshop on Representation Learning for NLP (RepL4NLP@ACL 2017)
    [preprint]
    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]
    AMC: Attention guided Multi-modal Correlation Learning for Image Search
    Kan Chen, Trung Bui, Chen Fang, Zhaowen Wang and Ram Nevatia
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017
    [preprint will be available soon]
    Spatial-Semantic Image Search by Visual Feature Synthesis
    Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt and Feng Liu
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Spotlight) 2017
    [preprint will be available soon]
    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]
    Media Coverages: [EurekAlert!] [UofR News Center]
    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]
    @article{behance,
     title={Collaborative Feature Learning from Social Media},
     author={Chen Fang and Hailin Jin and Jianchao Yang and Zhe Lin},
     journal={arXiv preprint arXiv:1502.01423},
     year={2015}
    }
    
    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]
    @article{MultiNetwork,
     title={Multi-Task Metric Learning on Network Data},
     author={Fang, Chen and Rockmore, Daniel N},
     booktitle={arXiv preprint arXiv:1411.2337},
     year={2015}
    }
    
    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]
    @inproceedings{FLMS_mm14,
     author = {Chen Fang and Zhe Lin and Radomir Mech and Xiaohui Shen},
     title = {Automatic Image Cropping using Visual Composition, Boundary Simplicity and Content Preservation Models},
     booktitle = {ACM Multimedia},
     year = {2014}
    }
    
    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]
    @inproceedings{FXR_iccv13,
     author = {Chen Fang and Ye Xu and Daniel N. Rockmore},
     title = {Unbiased Metric Learning: On the Utilization of Multiple Datasets and Web Images for Softening Bias},
     booktitle = {International Conference on Computer Vision},
     year = {2013}
    }
    
    Measuring Image Distances via Embedding in a Semantic Manifold
    Chen Fang, and Lorenzo Torresani
    European Conference on Computer Vision (ECCV) 2012
    [PDF] [Project Page]
    @InProceedings{FT_eccv12,
     author = {Chen Fang and Lorenzo Torresani},
     title = {Measuring Image Distances via Embedding in a Semantic Manifold},
     booktitle = {European Conference on Computer Vision ({ECCV})},
     pages = {402--415},
     year = 2012,
     month = oct,
    }
    
    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]
    @InProceedings{FRT_iccv11,
     author = {Mohammad Rastegari and Chen Fang and Lorenzo Torresani},
     title = {Scalable Object-Class Retrieval with Approximate and Top-k Ranking},
     booktitle = {IEEE International Conference on Computer Vision ({ICCV})},
     year = 2011,
     month = nov,
    }
    
    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

    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.

     




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