Seong-Whan Lee

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 that state-of-the-art multimodal large language models struggle with this setting, particularly due to…Read more

DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval

Gwang-Ho Na, Ho-Joong Kim, Seong-Whan Lee

Zero-shot composed image retrieval (ZS-CIR) aims to retrieve a target image from a multimodal query consisting of a reference image and an edit text describing the desired modification. Recent ZS-CIR studies have relied on projection-based methods that map a reference image into…Read more

Cross-Subject Semantic Decoding with Shared-Space Alignment for Generalized Neural Representation Learning

Ji-Hoon Heo, Aleksandra Joanna Wisniewska, Seo-Hyun Lee, Seong-Whan Lee

Generalizing across subjects remains challenging in invasive neural recordings because electrode configurations, anatomical structures, and neural signal patterns vary substantially across individuals. To investigate such inter-subject variability, we propose a cross-subject sema…Read more

ProCal: Inference-Time Proposal Calibration for Open-Vocabulary Object Detection

Jae-Ryung Hong, Ho-Joong Kim, Seong-Whan Lee

Open-vocabulary object detection aims to localize and classify objects beyond the fixed set of categories seen dur ing training. Recent open-vocabulary object detection methods improve localization and classification for unseen categories by leveraging a frozen VLM as a detector…Read more

Thinking Before Retrieving: Robust Zero-Shot Composed Image Retrieval via Strategic Planning and Self-Criticism

Gunho Jung, Jeong-Woo Park, Seon Bin Kim, Seong-Whan Lee

Composed image retrieval requires identifying a target image from a gallery by integrating a reference image with a textual modification instruction. In a training-free zero-shot setting, this task relies on constructing a retrieval-oriented textual query within a frozen vision--…Read more

Real-Time Deep Neurolinguistic Learning Enhances Noninvasive Neural Language Decoding for Brain–Machine Interaction

Ji-Hoon Jeong, Jeong-Hyun Cho, Byeong-Hoo Lee, Seong-Whan Lee