1 code implementation • ECCV 2020 • Ziqiang Zheng, Yang Wu, Xinran Han, Jianbo Shi
We present a ForkGAN for task-agnostic image translation that can boost multiple vision tasks in adverse weather conditions.
no code implementations • 4 Jan 2024 • Ziqiang Zheng, YiWei Chen, Jipeng Zhang, Tuan-Anh Vu, Huimin Zeng, Yue Him Wong Tim, Sai-Kit Yeung
In this study, we carry out the preliminary and comprehensive case study of utilizing GPT-4V for marine analysis.
1 code implementation • 20 Oct 2023 • Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu, Shizhe Diao, Yue Him Wong Tim, Sai-Kit Yeung
Large language models (LLMs), such as ChatGPT/GPT-4, have proven to be powerful tools in promoting the user experience as an AI assistant.
no code implementations • 24 Nov 2021 • Hao Ren, Ziqiang Zheng, Yang Wu, Hong Lu, Yang Yang, Ying Shan, Sai-Kit Yeung
The huge domain gap between sketches and photos and the highly abstract sketch representations pose challenges for sketch-based image retrieval (\underline{SBIR}).
no code implementations • 7 Jul 2020 • Fan Yang, Xin Chang, Chenyu Dang, Ziqiang Zheng, Sakriani Sakti, Satoshi Nakamura, Yang Wu
We aim to improve the performance of Multiple Object Tracking and Segmentation (MOTS) by refinement.
Ranked #1 on Multi-Object Tracking on MOTS20
Multi-Object Tracking Multi-Object Tracking and Segmentation +2
1 code implementation • 16 May 2019 • Ziqiang Zheng, Yang Wu, Zhibin Yu, Yang Yang, Haiyong Zheng, Takeo Kanade
We present the tailored models of the proposed ReshapeGAN for all the problem settings, and have them tested on 8 kinds of reshaping tasks with 13 different datasets, demonstrating the ability of ReshapeGAN on generating convincing and superior results for object reshaping.
no code implementations • 12 May 2019 • Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Yang, Heng Tao Shen
It is well known that humans can learn and recognize objects effectively from several limited image samples.
no code implementations • 24 Jan 2019 • Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Yang Wu, Bing Zheng, Ping Lin
Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (GANs).
Generative Adversarial Network Image-to-Image Translation +1
no code implementations • 10 Jan 2018 • Ziqiang Zheng, Chao Wang, Zhibin Yu, Haiyong Zheng, Bing Zheng
Semantic layouts based Image synthesizing, which has benefited from the success of Generative Adversarial Network (GAN), has drawn much attention in these days.
1 code implementation • 29 Nov 2017 • Ziqiang Zheng, Wang Chao, Zhibin Yu, Nan Wang, Haiyong Zheng, Bing Zheng
We present an approach for learning to translate faces in the wild from the source photo domain to the target caricature domain with different styles, which can also be used for other high-level image-to-image translation tasks.
no code implementations • 29 Nov 2017 • Ziqiang Zheng, Zhibin Yu, Haiyong Zheng, Chao Wang, Nan Wang
Generative Adversarial Networks are proved to be efficient on various kinds of image generation tasks.
1 code implementation • ECCV 2018 • Chao Wang, Haiyong Zheng, Zhibin Yu, Ziqiang Zheng, Zhaorui Gu, Bing Zheng
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs).