Search Results for author: Min Tan

Found 7 papers, 3 papers with code

HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration

no code implementations6 Jul 2021 Shuaizheng Yan, Xingyu Chen, Zhengxing Wu, Jian Wang, Yue Lu, Min Tan, Junzhi Yu

Our experimental results show that the proposed method is able to perform high-quality restoration for unconstrained underwater images without any supervision.

Underwater Image Restoration

TB-Net: A Three-Stream Boundary-Aware Network for Fine-Grained Pavement Disease Segmentation

1 code implementation7 Nov 2020 Yujia Zhang, Qianzhong Li, Xiaoguang Zhao, Min Tan

It consists of three streams fusing the low-level spatial and the high-level contextual representations as well as the detailed boundary information.

Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences

1 code implementation ACL 2020 Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang

In this paper, we propose a new task of machine translation (MT), which is based on no parallel sentences but can refer to a ground-truth bilingual dictionary.

Machine Translation Translation

Dilated Temporal Relational Adversarial Network for Generic Video Summarization

no code implementations30 Apr 2018 Yu-jia Zhang, Michael Kampffmeyer, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Specifically, DTR-GAN learns a dilated temporal relational generator and a discriminator with three-player loss in an adversarial manner.

Video Summarization Video Understanding

Unsupervised Object-Level Video Summarization with Online Motion Auto-Encoder

no code implementations2 Jan 2018 Yu-jia Zhang, Xiaodan Liang, Dingwen Zhang, Min Tan, Eric P. Xing

Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day, and the underlying fine-grained semantic and motion information (i. e., objects of interest and their key motions) in online videos has been barely touched.

Unsupervised Video Summarization

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