1 citations · 1 across the 4 of their papers we have counts for
6 papers
Tree-of-Thoughts Reasoning for Text-to-Image In-Context Learning
Stepanida Alekseeva, Jenifer Kalafatovich, Seong-Whan Lee
In text-to-image in-context learning (T2I-ICL), a model has to infer a latent compositional pattern from fewshot demonstrations for generating a query image. Recent studies show th…
FARCLUSS: Fuzzy Adaptive Rebalancing and Contrastive Uncertainty Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Semi-supervised semantic segmentation (SSSS) faces persistent challenges in effectively leveraging unlabeled data, such as ineffective utilization of pseudo-labels, exacerbation of…
CW-BASS: Confidence-Weighted Boundary-Aware Learning for Semi-Supervised Semantic Segmentation
Ebenezer Tarubinga, Jenifer Kalafatovich, Seong-Whan Lee
Semi-supervised semantic segmentation (SSSS) aims to improve segmentation performance by utilizing large amounts of unlabeled data with limited labeled samples. Existing methods of…
Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network
Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee
The ability to perceive and recognize objects is fundamental for the interaction with the external environment. Studies that investigate them and their relationship with brain acti…
Prediction of Memory Retrieval Performance Using Ear-EEG Signals
Jenifer Kalafatovich, Minji Lee, Seong-Whan Lee
Many studies have explored brain signals during the performance of a memory task to predict later remembered items. However, prediction methods are still poorly used in real life a…
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals
Jenifer Kalafatovich, Minji Lee
Declarative memory has been studied for its relationship with remembering daily life experiences. Previous studies reported changes in power spectra during encoding phase related t…