1 citations · 2 across the 6 of their papers we have counts for
6 papers
Hierarchical Pre-Training of Vision Encoders with Large Language Model
Eugene Lee, Ting-Yu Chang, Jui-Huang Tsai +2
The field of computer vision has experienced significant advancements through scalable vision encoders and multimodal pre-training frameworks. However, existing approaches often tr…
Learning to Select Visual In-Context Demonstrations
Eugene Lee, Yu-Chi Lin, Jiajie Diao
Multimodal Large Language Models (MLLMs) adapt to visual tasks via in-context learning (ICL), which relies heavily on demonstration quality. The dominant demonstration selection st…
Cross-Resolution Flow Propagation for Foveated Video Super-Resolution
Eugene Lee, Lien-Feng Hsu, Evan Chen +1
The demand of high-resolution video contents has grown over the years. However, the delivery of high-resolution video is constrained by either computational resources required for…
Few-Shot and Continual Learning with Attentive Independent Mechanisms
Eugene Lee, Cheng-Han Huang, Chen-Yi Lee
Deep neural networks (DNNs) are known to perform well when deployed to test distributions that shares high similarity with the training distribution. Feeding DNNs with new data seq…
Meta-rPPG: Remote Heart Rate Estimation Using a Transductive Meta-Learner
Eugene Lee, Evan Chen, Chen-Yi Lee
Remote heart rate estimation is the measurement of heart rate without any physical contact with the subject and is accomplished using remote photoplethysmography (rPPG) in this wor…
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks
Eugene Lee, Chen-Yi Lee
Deciding the amount of neurons during the design of a deep neural network to maximize performance is not intuitive. In this work, we attempt to search for the neuron (filter) confi…