44 citations · 50 across the 10 of their papers we have counts for
4 papers · 1 filter
Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-Tuning
Hai-Ming Xu, Qi Chen, Lei Wang +1
Recent advancements in Multimodal Large Language Models (MLLMs) have generated significant interest in their ability to autonomously interact with and interpret Graphical User Inte…
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
Avraham Chapman, Haiming Xu, Lingqiao Liu
Training a fine-grained image recognition model with limited data presents a significant challenge, as the subtle differences between categories may not be easily discernible amids…
MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss
Yangyang Shu, Haiming Xu, Ziqin Zhou +2
Automatically generating symbolic music-music scores tailored to specific human needs-can be highly beneficial for musicians and enthusiasts. Recent studies have shown promising re…
A Simple-but-effective Baseline for Training-free Class-Agnostic Counting
Yuhao Lin, Haiming Xu, Lingqiao Liu +1
Class-Agnostic Counting (CAC) seeks to accurately count objects in a given image with only a few reference examples. While previous methods achieving this relied on additional trai…