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Scene Graph Modification Based on Natural Language Commands

Oct 06, 2020
Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Trung Bui, Zhe Lin, Franck Dernoncourt, Nhan Dam

* Accepted to the Findings of EMNLP 2020 

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Decision Tree Based Hardware Power Monitoring for Run Time Dynamic Power Management in FPGA

Sep 03, 2020
Zhe Lin, Wei Zhang, Sharad Sinha

* published as a conference paper in FPL 2017 

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An Ensemble Learning Approach for In-situ Monitoring of FPGA Dynamic Power

Sep 03, 2020
Zhe Lin, Sharad Sinha, Wei Zhang

* published as a journal (TCAD) paper in 2018 

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Towards Efficient and Scalable Acceleration of Online Decision Tree Learning on FPGA

Sep 03, 2020
Zhe Lin, Sharad Sinha, Wei Zhang

* appear as a conference paper in FCCM 2019 

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Shape Adaptor: A Learnable Resizing Module

Aug 10, 2020
Shikun Liu, Zhe Lin, Yilin Wang, Jianming Zhang, Federico Perazzi, Edward Johns

* Published at ECCV 2020 

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Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

Aug 04, 2020
Xihui Liu, Zhe Lin, Jianming Zhang, Handong Zhao, Quan Tran, Xiaogang Wang, Hongsheng Li

* To appear on ECCV 2020. Introduction video at https://youtu.be/8E3bwvjCHYE and code at https://github.com/xh-liu/Open-Edit 

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PhraseCut: Language-based Image Segmentation in the Wild

Aug 03, 2020
Chenyun Wu, Zhe Lin, Scott Cohen, Trung Bui, Subhransu Maji

* Published in CVPR 2020. Code and data are released at: https://people.cs.umass.edu/~chenyun/phrasecut 

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Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild

Jul 29, 2020
Liqian Ma, Zhe Lin, Connelly Barnes, Alexei A. Efros, Jingwan Lu

* To appear in ECCV 2020 

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Incorporating Reinforced Adversarial Learning in Autoregressive Image Generation

Jul 20, 2020
Kenan E. Ak, Ning Xu, Zhe Lin, Yilin Wang

* Accepted to ECCV 2020 

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Real-time Semantic Segmentation with Fast Attention

Jul 09, 2020
Ping Hu, Federico Perazzi, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Kate Saenko, Stan Sclaroff

* project page: https://cs-people.bu.edu/pinghu/FANet.html 

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High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

May 24, 2020
Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu


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Context-Aware Group Captioning via Self-Attention and Contrastive Features

Apr 07, 2020
Zhuowan Li, Quan Tran, Long Mai, Zhe Lin, Alan Yuille

* To appear in CVPR 2020; Project page: https://lizw14.github.io/project/groupcap 

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Temporally Distributed Networks for Fast Video Semantic Segmentation

Apr 07, 2020
Ping Hu, Fabian Caba Heilbron, Oliver Wang, Zhe Lin, Stan Sclaroff, Federico Perazzi

* [CVPR2020] Project: https://github.com/feinanshan/TDNet 

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LeRoP: A Learning-Based Modular Robot Photography Framework

Nov 28, 2019
Hao Kang, Jianming Zhang, Haoxiang Li, Zhe Lin, TJ Rhodes, Bedrich Benes


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Scaling Object Detection by Transferring Classification Weights

Sep 15, 2019
Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan

* ICCV 2019 

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Towards High-Resolution Salient Object Detection

Aug 20, 2019
Yi Zeng, Pingping Zhang, Jianming Zhang, Zhe Lin, Huchuan Lu

* Accepted by ICCV2019. The HRSOD dataset is available at https://github.com/yi94code/HRSOD 

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Expressing Visual Relationships via Language

Jun 19, 2019
Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal

* ACL 2019 (11 pages) 

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Multitask Text-to-Visual Embedding with Titles and Clickthrough Data

May 30, 2019
Pranav Aggarwal, Zhe Lin, Baldo Faieta, Saeid Motiian

* 4 pages. Language and Vision Workshop, in conjunction with CVPR 2019 

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Multimodal Style Transfer via Graph Cuts

May 17, 2019
Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin, Yun Fu, Jimei Yang

* Supplementary file: http://yulunzhang.com/papers/MST_supp_arXiv.pdf The MST source code will be available after the paper is published. Fix typos in Eq.(11) and (12) 

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Scene Graph Generation with External Knowledge and Image Reconstruction

Apr 01, 2019
Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling

* 10 pages, 5 figures, Accepted in CVPR 2019 

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GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment

Mar 07, 2019
Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang


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Image Super-Resolution by Neural Texture Transfer

Mar 06, 2019
Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi

* Project Page: http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html. arXiv admin note: text overlap with arXiv:1804.03360 

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Foreground-aware Image Inpainting

Jan 18, 2019
Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo


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Photo-Sketching: Inferring Contour Drawings from Images

Jan 02, 2019
Mengtian Li, Zhe Lin, Radomir Mech, Ersin Yumer, Deva Ramanan

* WACV 2019. For code and dataset, see http://www.cs.cmu.edu/~mengtial/proj/sketch/ 

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Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization

Dec 02, 2018
Siyuan Qiao, Zhe Lin, Jianming Zhang, Alan Yuille


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Spatial-temporal Multi-Task Learning for Within-field Cotton Yield Prediction

Nov 16, 2018
Long Nguyen, Jia Zhen, Zhe Lin, Hanxiang Du, Zhou Yang, Wenxuan Guo, Fang Jin


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DeepLens: Shallow Depth Of Field From A Single Image

Oct 18, 2018
Lijun Wang, Xiaohui Shen, Jianming Zhang, Oliver Wang, Zhe Lin, Chih-Yao Hsieh, Sarah Kong, Huchuan Lu

* 11 pages, 15 figures, accepted by SIGGRAPH Asia 2018, low-resolution version 

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