74 citations · 92 across the 7 of their papers we have counts for
4 papers · 1 filter
Less Could Be Better: Parameter-efficient Fine-tuning Advances Medical Vision Foundation Models
Chenyu Lian, Hong-Yu Zhou, Yizhou Yu +1
Parameter-efficient fine-tuning (PEFT) that was initially developed for exploiting pre-trained large language models has recently emerged as an effective approach to perform transf…
Activate and Reject: Towards Safe Domain Generalization under Category Shift
Chaoqi Chen, Luyao Tang, Leitian Tao +4
Albeit the notable performance on in-domain test points, it is non-trivial for deep neural networks to attain satisfactory accuracy when deploying in the open world, where novel do…
TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition
Meng Lou, Shu Zhang, Hong-Yu Zhou +3
Recent studies have integrated convolutions into transformers to introduce inductive bias and improve generalization performance. However, the static nature of conventional convolu…
EMS: 3D Eyebrow Modeling from Single-view Images
Chenghong Li, Leyang Jin, Yujian Zheng +2
Eyebrows play a critical role in facial expression and appearance. Although the 3D digitization of faces is well explored, less attention has been drawn to 3D eyebrow modeling. In…