Search Results for author: Yuwei Zhang

Found 12 papers, 4 papers with code

Toward Unsupervised Realistic Visual Question Answering

no code implementations9 Mar 2023 Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

To resolve the first drawback, we propose a new testing dataset, RGQA, which combines AQs from an existing VQA dataset with around 29K human-annotated UQs.

Question Answering Visual Question Answering

Measurement of carbon finance level and exploration of its influencing factors

no code implementations1 Jun 2022 Peng Zhang, Yuwei Zhang, Nuo Xu

Faced with increasingly severe environmental problems, carbon trading markets and related financial activities aiming at limiting carbon dioxide emissions are booming.

New Intent Discovery with Pre-training and Contrastive Learning

1 code implementation ACL 2022 Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y. S. Lam

Existing approaches typically rely on a large amount of labeled utterances and employ pseudo-labeling methods for representation learning and clustering, which are label-intensive, inefficient, and inaccurate.

Contrastive Learning Intent Discovery +2

Low-Dose CT Denoising Using a Structure-Preserving Kernel Prediction Network

no code implementations31 May 2021 Lu Xu, Yuwei Zhang, Ying Liu, Daoye Wang, Mu Zhou, Jimmy Ren, Jingwei Wei, Zhaoxiang Ye

Low-dose CT has been a key diagnostic imaging modality to reduce the potential risk of radiation overdose to patient health.


KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

1 code implementation6 May 2021 Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre

Here, we present a single approach to both of these problems in the form of "KuraNet", a deep-learning-based system of coupled oscillators that can learn to synchronize across a distribution of disordered network conditions.

Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition

no code implementations CVPR 2020 Yuwei Zhang, Peng Zhang, Chun Yuan, Zhi Wang

We also find that texture features have an impelling effect on these tasks and that the pre-trained ImageNet model has good performance in extracting texture features.

Classification General Classification

Dataset of Segmented Nuclei in Hematoxylin and Eosin Stained Histopathology Images of 10 Cancer Types

1 code implementation18 Feb 2020 Le Hou, Rajarsi Gupta, John S. Van Arnam, Yuwei Zhang, Kaustubh Sivalenka, Dimitris Samaras, Tahsin M. Kurc, Joel H. Saltz

To address this, we developed an analysis pipeline that segments nuclei in whole slide tissue images from multiple cancer types with a quality control process.

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