15 citations · 20 across the 14 of their papers we have counts for
16 papers
Deep-Learning Solvers and Surrogates for Infinity and p-Laplace Problems
Tak Shing Au Yeung, Ka Chun Cheung, Hannah Potgieter +2
We investigate the use of neural network solvers for infinity and -Laplace problems, which are fundamental in nonlinear analysis and have practical applications. Our approach em…
DyaPlex: Full-Duplex Speech-Motion Model for Dyadic Interaction
Koki Nagano, Hongyu Liu, Seonwook Park +9
We present DyaPlex, a streaming, full-duplex speech-and-motion model designed for dyadic interaction. To capture the continuous and reciprocal nature of human communication, this f…
ImageSentinel: Protecting Visual Datasets from Unauthorized Retrieval-Augmented Image Generation
Ziyuan Luo, Yangyi Zhao, Ka Chun Cheung +2
The widespread adoption of Retrieval-Augmented Image Generation (RAIG) has raised significant concerns about the unauthorized use of private image datasets. While these systems hav…
Biological Pathway Informed Models with Graph Attention Networks (GATs)
Gavin Wong, Ping Shu Ho, Ivan Au Yeung +2
Biological pathways map gene-gene interactions that govern all human processes. Despite their importance, most ML models treat genes as unstructured tokens, discarding known pathwa…
Align 3D Representation and Text Embedding for 3D Content Personalization
Qi Song, Ziyuan Luo, Ka Chun Cheung +2
Recent advances in NeRF and 3DGS have significantly enhanced the efficiency and quality of 3D content synthesis. However, efficient personalization of generated 3D content remains…
Stereo-GS: Multi-View Stereo Vision Model for Generalizable 3D Gaussian Splatting Reconstruction
Xiufeng Huang, Ka Chun Cheung, Runmin Cong +2
Generalizable 3D Gaussian Splatting reconstruction showcases advanced Image-to-3D content creation but requires substantial computational resources and large datasets, posing chall…
M3Net: Multimodal Multi-task Learning for 3D Detection, Segmentation, and Occupancy Prediction in Autonomous Driving
Xuesong Chen, Shaoshuai Shi, Tao Ma +4
The perception system for autonomous driving generally requires to handle multiple diverse sub-tasks. However, current algorithms typically tackle individual sub-tasks separately,…
Meme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers
Ruofei Wang, Hongzhan Lin, Ziyuan Luo +4
Hateful meme detection aims to prevent the proliferation of hateful memes on various social media platforms. Considering its impact on social environments, this paper introduces a…
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting
Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung +3
3D Gaussian Splatting (3DGS) has become a crucial method for acquiring 3D assets. To protect the copyright of these assets, digital watermarking techniques can be applied to embed…
Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images
Qi Song, Ziyuan Luo, Ka Chun Cheung +2
Single-view 3D reconstruction methods like Triplane Gaussian Splatting (TGS) have enabled high-quality 3D model generation from just a single image input within seconds. However, t…
GeometrySticker: Enabling Ownership Claim of Recolorized Neural Radiance Fields
Xiufeng Huang, Ka Chun Cheung, Simon See +1
Remarkable advancements in the recolorization of Neural Radiance Fields (NeRF) have simplified the process of modifying NeRF's color attributes. Yet, with the potential of NeRF to…
Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base Model
Qi Song, Ziyuan Luo, Ka Chun Cheung +2
Neural Radiance Fields (NeRFs) have become a key method for 3D scene representation. With the rising prominence and influence of NeRF, safeguarding its intellectual property has be…
TCM-FTP: Fine-Tuning Large Language Models for Herbal Prescription Prediction
Xingzhi Zhou, Xin Dong, Chunhao Li +8
Traditional Chinese medicine (TCM) has relied on specific combinations of herbs in prescriptions to treat various symptoms and signs for thousands of years. Predicting TCM prescrip…
RegionGPT: Towards Region Understanding Vision Language Model
Qiushan Guo, Shalini De Mello, Hongxu Yin +5
Vision language models (VLMs) have experienced rapid advancements through the integration of large language models (LLMs) with image-text pairs, yet they struggle with detailed reg…
SVD-PINNs: Transfer Learning of Physics-Informed Neural Networks via Singular Value Decomposition
Yihang Gao, Ka Chun Cheung, Michael K. Ng
Physics-informed neural networks (PINNs) have attracted significant attention for solving partial differential equations (PDEs) in recent years because they alleviate the curse of…
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
Sixing Yan, William K. Cheung, Keith Chiu +3
Automatic generation of medical reports from X-ray images can assist radiologists to perform the time-consuming and yet important reporting task. Yet, achieving clinically accurate…