← Search

Ziquan Deng

3 accepted papers

2025

ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation

ICCV 2025poster

Training-free open-vocabulary semantic segmentation (OVS) aims to segment images given a set of arbitrary textual categories without costly model fine-tuning. Existing solutions often explore attention mechanisms of pre-trained models, such as CLIP, or generate synthetic data and design complex retr…

2024

SLIM: Spuriousness Mitigation with Minimal Human Annotations

ECCV 2024poster

"Recent studies highlight that deep learning models often learn spurious features mistakenly linked to labels, compromising their reliability in real-world scenarios where such correlations do not hold. Despite the increasing research effort, existing solutions often face two main challenges: they e…