Recent Work at Google

Google Scholar

  • 2018

    • Chunhui Gu et al., AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 [arXiv]
    • Yin Cui, Yang Song, Chen Sun, Andrew Howard and Serge Belongie, Large Scale Fine-Grained Categorization and the Effectiveness of Domain-Specific Transfer Learning. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 [pdf]
    • Grant van Horn et al., The iNaturalist Species Classification and Detection Dataset. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018 [pdf]
  • 2017

    • Chen Sun, Abhinav Shrivastava, Saurabh Singh and Abhinav Gupta, Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. International Conference on Computer Vision (ICCV) 2017 [arXiv]
    • Jiyang Gao, Chen Sun, Zhenheng Yang and Ram Nevatia, TALL: Temporal Activity Localization via Language Query. International Conference on Computer Vision (ICCV) 2017 [arXiv]
    • Jiyang Gao*, Zhenheng Yang*, Chen Sun, Kan Chen and Ram Nevatia, TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals. International Conference on Computer Vision (ICCV) 2017 [arXiv]
    • Chuang Gan et al., VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation. International Conference on Computer Vision (ICCV) 2017 [pdf]
    • Jonathan Huang et al., Speed/accuracy Trade-offs for Modern Convolutional Object Detectors. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 [arXiv]
    • Chuang Gan*, Chen Sun* and Ram Nevatia, DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos. AAAI Conference on Artificial Intelligence (AAAI) 2017 [pdf]

Earlier Work

  • 2016

    • Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia and Lubomir Bourdev, ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016 [arXiv]
    • Chuang Gan, Chen Sun, Lixin Duan and Boqing Gong, Webly-supervised video recognition by mutually voting for relevant web images and web video frames. European Conference on Computer Vision (ECCV) 2016 [pdf]
  • 2015

    • Chen Sun, Chuang Gan and Ram Nevatia, Automatic Concept Discovery from Parallel Text and Visual Corpora. International Conference on Computer Vision (ICCV) 2015 [arXiv]
    • Chen Sun, Sanketh Shetty, Rahul Sukthankar and Ram Nevatia, Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images. ACM Multimedia 2015 [arXiv]
  • 2014
    • Chen Sun, Ram Nevatia, Semantic Aware Video Transcription Using Random Forest Classifiers. European Conference on Computer Vision (ECCV) 2014 [pdf]
    • Chen Sun, Ram Nevatia, DISCOVER: Discovering Important Segments for Classification of Video Events and Recounting. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014 [pdf]
    • Chen Sun, Brian Burns, Ram Nevatia, Cees Snoek, Bob Bolles, Greg Myers, Wen Wang, Eric Yeh, ISOMER: Informative Segment Observations for Multimedia Event Recounting. International Conference on Multimedia Retrieval (ICMR) 2014 [pdf]
    • Julien van Hout et al., Late Fusion and Calibration for Multimedia Event Detection Using Few Examples. International Conference on on Acoustics, Speech, and Signal Processing (ICASSP) 2014 [pdf]
  • 2013
    • Chen Sun, Ram Nevatia, ACTIVE: Activity Concept Transitions in Video Event Classification. International Conference on Computer Vision (ICCV) 2013 [pdf]
    • Chen Sun, Ram Nevatia, Large-scale Web Video Event Classification by use of Fisher Vectors. Workshop on Applications of Computer Vision (WACV) 2013 [pdf] [Code]