← Search

Tae-Young Kim

3 accepted papers

2025

Mitigating Semantic Collapse in Partially Relevant Video Retrieval

NeurIPS 2025poster

Partially Relevant Video Retrieval (PRVR) seeks videos where only part of the content matches a text query. Existing methods treat every annotated text–video pair as a positive and all others as negatives, ignoring the rich semantic variation both within a single video and across different videos.…

Cited by 4SourceScholar
2025

Translation of Text Embedding via Delta Vector to Suppress Strongly Entangled Content in Text-to-Image Diffusion Models

ICCV 2025poster

Text-to-Image (T2I) diffusion models have made significant progress in generating diverse high-quality images from textual prompts. However, these models still face challenges in suppressing content that is strongly entangled with specific words. For example, when generating an image of "Charlie Cha…

2024

Mitigating Background Shift in Class-Incremental Semantic Segmentation

ECCV 2024poster

"Class-Incremental Semantic Segmentation (CISS) aims to learn new classes without forgetting the old ones, using only the labels of the new classes. To achieve this, two popular strategies are employed: 1) pseudo-labeling and knowledge distillation to preserve prior knowledge; and 2) background weig…