4 citations · 17 across the 65 of their papers we have counts for
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COMMA: Co-Articulated Multi-Modal Learning
Lianyu Hu, Liqing Gao, Zekang Liu +2
Pretrained large-scale vision-language models such as CLIP have demonstrated excellent generalizability over a series of downstream tasks. However, they are sensitive to the variat…
GaussianHead: High-fidelity Head Avatars with Learnable Gaussian Derivation
Jie Wang, Jiu-Cheng Xie, Xianyan Li +3
Constructing vivid 3D head avatars for given subjects and realizing a series of animations on them is valuable yet challenging. This paper presents GaussianHead, which models the a…
ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading
Wenyun Li, Chi-Man Pun
Glaucoma is a chronic neurodegenerative condition that can lead to blindness. Early detection and curing are very important in stopping the disease from getting worse for glaucoma…
Perceptual MAE for Image Manipulation Localization: A High-level Vision Learner Focusing on Low-level Features
Xiaochen Ma, Jizhe Zhou, Xiong Xu +2
Nowadays, multimedia forensics faces unprecedented challenges due to the rapid advancement of multimedia generation technology thereby making Image Manipulation Localization (IML)…