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Video Question Answering on Screencast Tutorials

Aug 02, 2020
Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin


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Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

Jun 15, 2020
Tong He, John Collomosse, Hailin Jin, Stefano Soatto


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Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics

Apr 05, 2020
Simon Jenni, Hailin Jin, Paolo Favaro

* CVPR 2020 (oral) 

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Superpixel Segmentation with Fully Convolutional Networks

Mar 29, 2020
Fengting Yang, Qian Sun, Hailin Jin, Zihan Zhou

* 16 pages, 15 figures, to be published in CVPR'20 

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Neural Architecture Search for Deep Image Prior

Jan 14, 2020
Kary Ho, Andrew Gilbert, Hailin Jin, John Collomosse


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Large-scale Tag-based Font Retrieval with Generative Feature Learning

Oct 02, 2019
Tianlang Chen, Zhaowen Wang, Ning Xu, Hailin Jin, Jiebo Luo

* accepted by ICCV 2019 

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An Internal Learning Approach to Video Inpainting

Sep 17, 2019
Haotian Zhang, Long Mai, Ning Xu, Zhaowen Wang, John Collomosse, Hailin Jin

* Accepted by ICCV 2019. Website: https://cs.stanford.edu/~haotianz/publications/video_inpainting/ 

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Privacy-Preserving Deep Visual Recognition: An Adversarial Learning Framework and A New Dataset

Jul 29, 2019
Haotao Wang, Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin

* Submitted to TPAMI, under review. arXiv admin note: text overlap with arXiv:1807.08379 

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Learning Video Representations from Correspondence Proposals

May 20, 2019
Xingyu Liu, Joon-Young Lee, Hailin Jin

* CVPR 2019 (Oral) 

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Creative Procedural-Knowledge Extraction From Web Design Tutorials

Apr 18, 2019
Longqi Yang, Chen Fang, Hailin Jin, Walter Chang, Deborah Estrin


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LiveSketch: Query Perturbations for Guided Sketch-based Visual Search

Apr 14, 2019
John Collomosse, Tu Bui, Hailin Jin

* Accepted to CVPR 2019 

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Visual Font Pairing

Nov 19, 2018
Shuhui Jiang, Zhaowen Wang, Aaron Hertzmann, Hailin Jin, Yun Fu


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"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention

Jul 29, 2018
Tianlang Chen, Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin, Jiebo Luo

* 17 pages, 7 figures, ECCV 2018 

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Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Jul 22, 2018
Zhenyu Wu, Zhangyang Wang, Zhaowen Wang, Hailin Jin

* A conference version of this paper is accepted by ECCV'18. A shorter version of this paper is accepted by ICML'18 PiMLAI workshop 

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Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding

Jun 01, 2018
Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa


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Beyond Textures: Learning from Multi-domain Artistic Images for Arbitrary Style Transfer

May 25, 2018
Zheng Xu, Michael Wilber, Chen Fang, Aaron Hertzmann, Hailin Jin


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Image Captioning at Will: A Versatile Scheme for Effectively Injecting Sentiments into Image Descriptions

Jan 30, 2018
Quanzeng You, Hailin Jin, Jiebo Luo

* 8 pages, 5 figures and 4 tables 

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BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography

Jul 09, 2017
Michael J. Wilber, Chen Fang, Hailin Jin, Aaron Hertzmann, John Collomosse, Serge Belongie


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Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

Jul 02, 2017
Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, Thomas Funkhouser

* Updates camera ready version. Accepted by CVPR 2017 

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Trimming and Improving Skip-thought Vectors

Jun 09, 2017
Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa


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Rethinking Skip-thought: A Neighborhood based Approach

Jun 09, 2017
Shuai Tang, Hailin Jin, Chen Fang, Zhaowen Wang, Virginia R. de Sa


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Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark

May 09, 2016
Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang

* 7 pages, 7 figures, AAAI 2016 

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Image Captioning with Semantic Attention

Mar 12, 2016
Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, Jiebo Luo

* 10 pages, 5 figures, CVPR16 

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Multi-Instance Visual-Semantic Embedding

Dec 22, 2015
Zhou Ren, Hailin Jin, Zhe Lin, Chen Fang, Alan Yuille

* 9 pages, CVPR 2016 submission 

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Robust Image Sentiment Analysis Using Progressively Trained and Domain Transferred Deep Networks

Sep 20, 2015
Quanzeng You, Jiebo Luo, Hailin Jin, Jianchao Yang

* 9 pages, 5 figures, AAAI 2015 

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DeepFont: Identify Your Font from An Image

Jul 12, 2015
Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

* To Appear in ACM Multimedia as a full paper 

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Collaborative Feature Learning from Social Media

Apr 09, 2015
Chen Fang, Hailin Jin, Jianchao Yang, Zhe Lin


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Decomposition-Based Domain Adaptation for Real-World Font Recognition

Apr 01, 2015
Zhangyang Wang, Jianchao Yang, Hailin Jin, Eli Shechtman, Aseem Agarwala, Jonathan Brandt, Thomas S. Huang

* This paper has been withdrawn by the author due to project concerns 

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