3 citations · 6 across the 18 of their papers we have counts for
9 papers · 1 filter
Prototype-Based Test-Time Adaptation of Vision-Language Models
Zhaohong Huang, Yuxin Zhang, Wenjing Liu +2
Test-time adaptation (TTA) has emerged as a promising paradigm for vision-language models (VLMs) to bridge the distribution gap between pre-training and test data. Recent works hav…
ID-Selection: Importance-Diversity Based Visual Token Selection for Efficient LVLM Inference
Zhaohong Huang, Wenjing Liu, Yuxin Zhang +2
Recent advances have explored visual token pruning to accelerate the inference of large vision-language models (LVLMs). However, existing methods often struggle to balance token im…
A Synthetic Eye Movement Dataset for Script Reading Detection: Real Trajectory Replay on a 3D Simulator
Kidus Zewde, Yuchen Zhou, Dennis Ng +6
Large vision-language models have achieved remarkable capabilities by training on massive internet-scale data, yet a fundamental asymmetry persists: while LLMs can leverage self-su…
DSNet: Detail-Semantic Deep Supervision Network for Medical Image Segmentation
Zhaohong Huang, Yuxin Zhang, Taojian Zhou +2
Deep Supervision Networks exhibit significant efficacy for the medical imaging community. Nevertheless, existing work merely supervises either the coarse-grained semantic features…
GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models
Zhaohong Huang, Yuxin Zhang, Jingjing Xie +2
Recent advances in test-time adaptation (TTA) for Vision-Language Models (VLMs) have garnered increasing attention, particularly through the use of multiple augmented views of a si…
Advancing Multimodal Large Language Models with Quantization-Aware Scale Learning for Efficient Adaptation
Jingjing Xie, Yuxin Zhang, Mingbao Lin +2
This paper presents the first study to explore the potential of parameter quantization for multimodal large language models to alleviate the significant resource constraint encount…
Diffree: Text-Guided Shape Free Object Inpainting with Diffusion Model
Lirui Zhao, Tianshuo Yang, Wenqi Shao +5
This paper addresses an important problem of object addition for images with only text guidance. It is challenging because the new object must be integrated seamlessly into the ima…
Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
Yunshan Zhong, You Huang, Jiawei Hu +2
Post-training quantization (PTQ) for vision transformers (ViTs) has received increasing attention from both academic and industrial communities due to its minimal data needs and hi…
Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models
Gen Luo, Yiyi Zhou, Yuxin Zhang +3
Despite remarkable progress, existing multimodal large language models (MLLMs) are still inferior in granular visual recognition. Contrary to previous works, we study this problem…