Fang Kang — accepted AI-conference papers

2026

Temporal Calibrating and Distilling for Scene-Text Aware Text-Video Retrieval

Zhiqian Zhao, Liang Li, Lei Shen, Xichun Sheng, Yaoqi Sun, Fang Kang +1

AAAI 2026technical

Existing text-video retrieval methods mainly focus on singlemodal video content (i.e., visual entities), often overlooking heterogeneous scene text that is ubiquitous in human environments. Although scene text in videos provides finegrained semantics for cross-modal retrieval, effectively utilizing

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2022

A Multi-Task Learning Method for Weakly Supervised Sound Event Detection

Sichen Liu, Feiran Yang, Fang Kang, Jun Yang

ICASSP 2022accepted

In weakly supervised sound event detection (SED), only coarse-grained labels are available, and thus the supervision information is quite limited. To fully utilize prior knowledge of the time-frequency masks of each sound event, we propose a novel multi-task learning (MTL) method that takes SED as t…

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