1 code implementation • 17 Mar 2024 • Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, DaCheng Tao
Equipped with LCRF and RPR, our LocoTrans is capable of learning local-consistent transformation and preserving local geometry, which benefits rotation invariance learning.
no code implementations • 27 Feb 2024 • Eddy Chu, Yiyang Chen, Chedy Raissi, Anand Bhojan
3D modeling holds significant importance in the realms of AR/VR and gaming, allowing for both artistic creativity and practical applications.
no code implementations • 25 Feb 2024 • Kaiqi Chen, Eugene Lim, Kelvin Lin, Yiyang Chen, Harold Soh
However, the target policy to be learned is often significantly different from Gaussian and this mismatch can result in poor performance when using a small number of diffusion steps (to improve inference speed) and under limited data.
no code implementations • 13 Feb 2024 • Chen Lin, Liheng Ma, Yiyang Chen, Wanli Ouyang, Michael M. Bronstein, Philip H. S. Torr
\textbf{Secondly}, we propose the {\em Continuous Unified Ricci Curvature} (\textbf{CURC}), an extension of celebrated {\em Ollivier-Ricci Curvature} for directed and weighted graphs.
no code implementations • 20 Oct 2023 • Haojiang Ying, Yi-Fan Li, Yiyang Chen
In this study, we focused on 4 extensively studied CNNs (AlexNet, VGG11, VGG13, and VGG16) which has been analyzed as human-like models by neuroscientists with ample evidence.
no code implementations • 5 Aug 2023 • Yiyang Chen, Shanshan Zhao, Changxing Ding, Liyao Tang, Chaoyue Wang, DaCheng Tao
In recent years, cross-modal domain adaptation has been studied on the paired 2D image and 3D LiDAR data to ease the labeling costs for 3D LiDAR semantic segmentation (3DLSS) in the target domain.
1 code implementation • 25 Apr 2023 • Jianzhang Zhang, Yiyang Chen, Nan Niu, Yinglin Wang, Chuang Liu
Our evaluation of ChatGPT on requirements IR under zero-shot setting provides preliminary evidence for designing or developing more effective requirements IR methods or tools based on LLMs.
1 code implementation • 14 Nov 2022 • Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua
The key idea underpinning the proposed method is to integrate fine- and coarse-grained retrieval as matching data points with small and large fluctuations, respectively.
Composed Image Retrieval (CoIR) Image Retrieval with Multi-Modal Query +1
no code implementations • 1 Jul 2021 • Yiyang Chen, Wei Jiang, Themistoklis Charalambous
A machine learning (ML) based nominal model update mechanism, which utilizes the linear regression technique to update the nominal model at each ILC trial only using the current trial information, is proposed for non-repetitive TVSs in order to enhance the ILC performance.