15 citations · 40 across the 10 of their papers we have counts for
10 papers
From Motion Signals to Insights: A Unified Framework for Student Behavior Analysis and Feedback in Physical Education Classes
Xian Gao, Jiacheng Ruan, Jingsheng Gao +4
Analyzing student behavior in educational scenarios is crucial for enhancing teaching quality and student engagement. Existing AI-based models often rely on classroom video footage…
Understanding Robustness of Parameter-Efficient Tuning for Image Classification
Jiacheng Ruan, Xian Gao, Suncheng Xiang +3
Parameter-efficient tuning (PET) techniques calibrate the model's predictions on downstream tasks by freezing the pre-trained models and introducing a small number of learnable par…
iDAT: inverse Distillation Adapter-Tuning
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4
Adapter-Tuning (AT) method involves freezing a pre-trained model and introducing trainable adapter modules to acquire downstream knowledge, thereby calibrating the model for better…
LAMM: Label Alignment for Multi-Modal Prompt Learning
Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang +5
With the success of pre-trained visual-language (VL) models such as CLIP in visual representation tasks, transferring pre-trained models to downstream tasks has become a crucial pa…
GIST: Improving Parameter Efficient Fine Tuning via Knowledge Interaction
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +4
The Parameter-Efficient Fine-Tuning (PEFT) method, which adjusts or introduces fewer trainable parameters to calibrate pre-trained models on downstream tasks, has become a recent r…
Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
Jiacheng Ruan, Jingsheng Gao, Mingye Xie +1
Recently, Visual Transformer (ViT) has been extensively used in medical image segmentation (MIS) due to applying self-attention mechanism in the spatial domain to modeling global k…
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentation
Jiacheng Ruan, Mingye Xie, Jingsheng Gao +2
Transformer and its variants have been widely used for medical image segmentation. However, the large number of parameter and computational load of these models make them unsuitabl…
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion Segmentation
Jiacheng Ruan, Suncheng Xiang, Mingye Xie +2
Recently, some pioneering works have preferred applying more complex modules to improve segmentation performances. However, it is not friendly for actual clinical environments due…
MEW-UNet: Multi-axis representation learning in frequency domain for medical image segmentation
Jiacheng Ruan, Mingye Xie, Suncheng Xiang +2
Recently, Visual Transformer (ViT) has been widely used in various fields of computer vision due to applying self-attention mechanism in the spatial domain to modeling global knowl…
SubFace: Learning with Softmax Approximation for Face Recognition
Hongwei Xu, Suncheng Xiang, Dahong Qian
The softmax-based loss functions and its variants (e.g., cosface, sphereface, and arcface) significantly improve the face recognition performance in wild unconstrained scenes. A co…