no code implementations • 22 May 2023 • Tianyou Chen, Jin Xiao, Xiaoguang Hu, Guofeng Zhang, Shaojie Wang
Furthermore, considering the significance of multi-scale information, we have designed a multi-scale feature enhancement module that enlarges the receptive field while preserving detailed structural cues.
1 code implementation • 21 Oct 2021 • Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
Modern AI tools, such as generative adversarial networks, have transformed our ability to create and modify visual data with photorealistic results.
no code implementations • 23 Jun 2020 • Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
First, we find that the fusion model is usually both more accurate, and more robust against single-source attacks than single-sensor deep neural networks.
no code implementations • 17 Nov 2019 • Ziyi Kou, Guofeng Cui, Shaojie Wang, Wentian Zhao, Chenliang Xu
In this paper, we propose a confidence segmentation (ConfSeg) module that builds confidence score for each pixel in CAM without introducing additional hyper-parameters.
no code implementations • 9 Sep 2019 • Ziyi Kou, Wentian Zhao, Guofeng Cui, Shaojie Wang
Weakly Supervised Object Localization (WSOL) methodsusually rely on fully convolutional networks in order to ob-tain class activation maps(CAMs) of targeted labels.
no code implementations • 2 Dec 2018 • Wentian Zhao, Shaojie Wang, Zhihuai Xie, Jing Shi, Chenliang Xu
To overcome such limitation, we propose a GAN based EM learning framework that can maximize the likelihood of images and estimate the latent variables with only the constraint of L-Lipschitz continuity.
no code implementations • 2 Dec 2018 • Shaojie Wang, Wentian Zhao, Ziyi Kou, Chenliang Xu
Furthermore, we study multiple modalities including description and transcripts for the purpose of boosting video understanding.