5 papers
Regional Style and Color Transfer
Zhicheng Ding, Panfeng Li, Qikai Yang +2
This paper presents a novel contribution to the field of regional style transfer. Existing methods often suffer from the drawback of applying style homogeneously across the entire…
Confidence Trigger Detection: Accelerating Real-time Tracking-by-detection Systems
Zhicheng Ding, Zhixin Lai, Siyang Li +3
Real-time object tracking necessitates a delicate balance between speed and accuracy, a challenge exacerbated by the computational demands of deep learning methods. In this paper,…
Enhance Image-to-Image Generation with LLaVA-generated Prompts
Zhicheng Ding, Panfeng Li, Qikai Yang +1
This paper presents a novel approach to enhance image-to-image generation by leveraging the multimodal capabilities of the Large Language and Vision Assistant (LLaVA). We propose a…
Data Imputation using Large Language Model to Accelerate Recommendation System
Zhicheng Ding, Jiahao Tian, Zhenkai Wang +2
This paper aims to address the challenge of sparse and missing data in recommendation systems, a significant hurdle in the age of big data. Traditional imputation methods struggle…
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
Shuyang Sun, Runjia Li, Philip Torr +2
Existing open-vocabulary image segmentation methods require a fine-tuning step on mask labels and/or image-text datasets. Mask labels are labor-intensive, which limits the number o…