Zobrazeno 1 - 10
of 1 571
pro vyhledávání: '"ZHANG Hailiang"'
In this paper, we present our champion solution to the Global Artificial Intelligence Technology Innovation Competition Track 1: Medical Imaging Diagnosis Report Generation. We select CPT-BASE as our base model for the text generation task. During th
Externí odkaz:
http://arxiv.org/abs/2407.01271
In this paper, we introduce a grounded video question-answering solution. Our research reveals that the fixed official baseline method for video question answering involves two main steps: visual grounding and object tracking. However, a significant
Externí odkaz:
http://arxiv.org/abs/2407.01907
In this paper, we present our solution to the New frontiers for Zero-shot Image Captioning Challenge. Different from the traditional image captioning datasets, this challenge includes a larger new variety of visual concepts from many domains (such as
Externí odkaz:
http://arxiv.org/abs/2310.06879
Autor:
Kim, Taehoon, Ahn, Pyunghwan, Kim, Sangyun, Lee, Sihaeng, Marsden, Mark, Sala, Alessandra, Kim, Seung Hwan, Han, Bohyung, Lee, Kyoung Mu, Lee, Honglak, Bae, Kyounghoon, Wu, Xiangyu, Gao, Yi, Zhang, Hailiang, Yang, Yang, Guo, Weili, Lu, Jianfeng, Oh, Youngtaek, Cho, Jae Won, Kim, Dong-jin, Kweon, In So, Kim, Junmo, Kang, Wooyoung, Jhoo, Won Young, Roh, Byungseok, Mun, Jonghwan, Oh, Solgil, Ak, Kenan Emir, Lee, Gwang-Gook, Xu, Yan, Shen, Mingwei, Hwang, Kyomin, Shin, Wonsik, Lee, Kamin, Park, Wonhark, Lee, Dongkwan, Kwak, Nojun, Wang, Yujin, Wang, Yimu, Gu, Tiancheng, Lv, Xingchang, Sun, Mingmao
In this report, we introduce NICE (New frontiers for zero-shot Image Captioning Evaluation) project and share the results and outcomes of 2023 challenge. This project is designed to challenge the computer vision community to develop robust image capt
Externí odkaz:
http://arxiv.org/abs/2309.01961
Cooperative perception is a promising technique for intelligent and connected vehicles through vehicle-to-everything (V2X) cooperation, provided that accurate pose information and relative pose transforms are available. Nevertheless, obtaining precis
Externí odkaz:
http://arxiv.org/abs/2304.12033
Autor:
Zhang, Hailiang1 (AUTHOR) zhl108@cau.edu.cn, Gao, Qing1 (AUTHOR) 15096111700@163.com, Wang, Ao1 (AUTHOR) lxxkwa@163.com, Wang, Zichen2 (AUTHOR) shirleywang2020@126.com, Liang, Yan2 (AUTHOR) mz120181016@yzu.edu.cn, Guo, Mengling2 (AUTHOR) g18852720440@163.com, Mao, Yongjiang2 (AUTHOR) cattle@yzu.edu.cn, Wang, Yachun1 (AUTHOR) cattle@yzu.edu.cn
Publikováno v:
Animals (2076-2615). Oct2024, Vol. 14 Issue 19, p2761. 10p.
Cooperative perception is challenging for safety-critical autonomous driving applications.The errors in the shared position and pose cause an inaccurate relative transform estimation and disrupt the robust mapping of the Ego vehicle. We propose a dis
Externí odkaz:
http://arxiv.org/abs/2210.06289
Autor:
Anwaier, Aihetaimujiang, Che, Xiangxian, Shi, Lei, Tian, Xi, Ye, Shiqi, Xu, Wenhao, Zhu, Yu, Zhang, Hailiang, Ye, Dingwei
Publikováno v:
In Journal of the National Cancer Center December 2024 4(4):346-353
Autor:
Zhang, Hailiang, Zhang, Jing, Zhang, Yizhi, Wei, Jingru, Zhan, Baishao, Liu, Xuemei, Luo, Wei
Publikováno v:
In Postharvest Biology and Technology November 2024 217
Publikováno v:
In European Polymer Journal 16 October 2024 219