no code implementations • 22 Apr 2024 • Qikai Yang, Panfeng Li, Xinhe Xu, Zhicheng Ding, Wenjing Zhou, Yi Nian
In the ever-evolving landscape of social network advertising, the volume and accuracy of data play a critical role in the performance of predictive models.
no code implementations • 22 Apr 2024 • Zhicheng Ding, Panfeng Li, Qikai Yang, Siyang Li, Qingtian Gong
This paper presents a novel contribution to the field of regional style transfer.
no code implementations • 21 Apr 2024 • Panfeng Li, Qikai Yang, Xieming Geng, Wenjing Zhou, Zhicheng Ding, Yi Nian
This study explores innovative methods for improving Visual Question Answering (VQA) using Generative Adversarial Networks (GANs), autoencoders, and attention mechanisms.
no code implementations • 18 Nov 2023 • Panfeng Li, Mohamed Abouelenien, Rada Mihalcea, Zhicheng Ding, Qikai Yang, Yiming Zhou
This paper explores the application of convolutional neural networks for the purpose of multimodal deception detection.
no code implementations • 2 Feb 2019 • Zhicheng Ding, Zhixin Lai, Siyang Li, Panfeng Li, Qikai Yang, Edward Wong
Real-time object tracking necessitates a delicate balance between speed and accuracy, a challenge exacerbated by the computational demands of deep learning methods.
no code implementations • 30 Oct 2018 • Panfeng Li, Youzuo Lin, Emily Schultz-Fellenz
Semantic segmentation for aerial imagery is a challenging and important problem in remotely sensed imagery analysis.