no code implementations • 19 Dec 2024 • Yide Yu, Yue Liu, Xiaochen Yuan, Dennis Wong, Huijie Li, Yan Ma
In this problem, states and observations are in a many-to-one relationship.
1 code implementation • 24 Oct 2024 • Yejing Huo, Guoheng Huang, Lianglun Cheng, Jianbin He, Xuhang Chen, Xiaochen Yuan, Guo Zhong, Chi-Man Pun
Accurate prediction of mortality in nasopharyngeal carcinoma (NPC), a complex malignancy particularly challenging in advanced stages, is crucial for optimizing treatment strategies and improving patient outcomes.
no code implementations • 23 Oct 2024 • Ruicheng Zhang, Guoheng Huang, Yejing Huo, Xiaochen Yuan, Zhizhen Zhou, Xuhang Chen, Guo Zhong
The CPM module delves into the semantic dimensions of category-agnostic attributes, encapsulating them within a discrete codebook.
1 code implementation • 17 Apr 2024 • Xueyuan Gong, Zhiquan Liu, Yain-Whar Si, Xiaochen Yuan, Ke Wang, Xiaoxiang Liu, Cong Lin, Xinyuan Zhang
Computing power has evolved into a foundational and indispensable resource in the area of deep learning, particularly in tasks such as Face Recognition (FR) model training on large-scale datasets, where multiple GPUs are often a necessity.
no code implementations • 1 Apr 2024 • Qiusen Wei, Guoheng Huang, Xiaochen Yuan, Xuhang Chen, Guo Zhong, Jianwen Huang, Jiajie Huang
Thanks to the lightweight nature of the decoder and AQP, we can handle multiple datasets by sharing the backbone encoder and then only perform partial parameter tuning without incurring much additional cost.
no code implementations • Proceedings of the AAAI Conference on Artificial Intelligence 2024 • Zewen Zheng, Xuemin Zhang, Yongqiang Mou, Xiang Gao, Chengxin Li, Guoheng Huang, Chi-Man Pun, Xiaochen Yuan
Monocular 3D lane detection is essential for a reliable autonomous driving system and has recently been rapidly developing.
Ranked #1 on
3D Lane Detection
on OpenLane
1 code implementation • 18 Aug 2023 • Lin Yuan, Guoheng Huang, Fenghuan Li, Xiaochen Yuan, Chi-Man Pun, Guo Zhong
This module can construct the interaction between different modalities and capture long-range contextual information based on similarity clusters.
1 code implementation • 12 May 2023 • Zewen Zheng, Guoheng Huang, Xiaochen Yuan, Chi-Man Pun, Hongrui Liu, Wing-Kuen Ling
In this paper, we introduce a quaternion perspective on correlation learning and propose a novel Quaternion-valued Correlation Learning Network (QCLNet), with the aim to alleviate the computational burden of high-dimensional correlation tensor and explore internal latent interaction between query and support images by leveraging operations defined by the established quaternion algebra.
Ranked #24 on
Few-Shot Semantic Segmentation
on COCO-20i (5-shot)