1 code implementation • NAACL 2021 • Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
Adversarial examples expose the vulnerabilities of natural language processing (NLP) models, and can be used to evaluate and improve their robustness.
no code implementations • 28 Feb 2020 • Kevin Lin, Lijuan Wang, Ying Jin, Zicheng Liu, Ming-Ting Sun
Experimental results on multiple public datasets show that without using 3D ground truth meshes, the proposed approach outperforms the previous state-of-the-art approaches that require ground truth meshes for training.
no code implementations • WS 2020 • Kevin Lin, Ming-Yu Liu, Ming-Ting Sun, Jan Kautz
Specifically, we decompose the latent representation of the input sentence to a style code that captures the language style variation and a content code that encodes the language style-independent content.
1 code implementation • IJCNLP 2019 • Dianqi Li, Yizhe Zhang, Zhe Gan, Yu Cheng, Chris Brockett, Ming-Ting Sun, Bill Dolan
These data may demonstrate domain shift, which impedes the benefits of utilizing such data for training.
3 code implementations • 11 Jul 2019 • Kevin Lin, Lijuan Wang, Kun Luo, Yinpeng Chen, Zicheng Liu, Ming-Ting Sun
On the other hand, if part labels are also available in the real-images during training, our method outperforms the supervised state-of-the-art methods by a large margin.
Ranked #1 on Human Part Segmentation on PASCAL-Part (using extra training data)
1 code implementation • ECCV 2018 • Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Zhiyong Gao, Ming-Ting Sun
In this paper, we model the video artifact reduction task as a Kalman filtering procedure and restore decoded frames through a deep Kalman filtering network.
1 code implementation • 3 Apr 2018 • Dianqi Li, Qiuyuan Huang, Xiaodong He, Lei Zhang, Ming-Ting Sun
By contrasting with human-written captions and image-mismatched captions, the caption generator effectively exploits the inherent characteristics of human languages, and generates more discriminative captions.
no code implementations • 8 Feb 2018 • Shuai Li, Ce Zhu, Ming-Ting Sun
In this paper, we first examine the view interpolation with multiple reference views, demonstrating that the problem of emerging holes in a target virtual view can be greatly alleviated by making good use of other neighboring complementary views in addition to its two (commonly used) most neighboring primary views.
1 code implementation • NeurIPS 2017 • Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, Ming-Ting Sun
Rather than training the discriminator to learn and assign absolute binary predicate for individual data sample, the proposed RankGAN is able to analyze and rank a collection of human-written and machine-written sentences by giving a reference group.
Ranked #1 on Text Generation on Chinese Poems
no code implementations • CVPR 2016 • Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger
Semantic annotations are vital for training models for object recognition, semantic segmentation or scene understanding.
no code implementations • 28 Feb 2015 • Weiyao Lin, Ming-Ting Sun, Hongxiang Li, Zhenzhong Chen, Wei Li, Bing Zhou
We demonstrate that this low-computation-complexity method can efficiently catch the characteristics of the frame.
no code implementations • 28 Feb 2015 • Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zhengyou Zhang
This paper presents a novel approach for automatic recognition of group activities for video surveillance applications.
no code implementations • 28 Feb 2015 • Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zhengyou Zhang
This paper presents a novel approach for automatic recognition of human activities for video surveillance applications.