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Learning to Predict Visual Attributes in the Wild

Jun 17, 2021
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

* Accepted to CVPR 2021 

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Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering

Nov 05, 2020
Quan Tran, Nhan Dam, Tuan Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung

* Accepted to COLING 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 and code at 

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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: 

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Named Entity Recognition with stack residual LSTM and trainable bias decoding

Jul 11, 2017
Quan Tran, Andrew MacKinlay, Antonio Jimeno Yepes

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