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Gilhan Park

3 accepted papers

2026

Looking Beyond the Window: Global-Local Aligned CLIP for Training-free Open-Vocabulary Semantic Segmentation

CVPR 2026

A sliding-window inference strategy is commonly adopted in recent training-free open-vocabulary semantic segmentation methods to overcome limitation of the CLIP in processing high-resolution images. However, this approach introduces a new challenge: each window is processed independently, leading to

Cited by 0Source ↗code ↗Scholar ↗
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 7Source ↗Scholar ↗
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…