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Yi Tan

2 accepted papers

2025

Improving Open-vocabulary Video Visual Relation Detection with Decomposed Prompt Learning and Relation Adjustment

ICASSP 2025accepted

Open-vocabulary video visual relation detection (VidVRD) expands the scope of detecting object relations in videos to include unseen categories. It marks considerable advancement in recognizing novel relations solely by training on a base set, thus extending the frontiers of automated video understa…

Cited by 0SourceScholar
2024

Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

NeurIPS 2024spotlight

Vision-language models, such as CLIP, have shown impressive generalization capacities when using appropriate text descriptions. While optimizing prompts on downstream labeled data has proven effective in improving performance, these methods entail labor costs for annotations and are limited by their…