Jinxiang Liu — accepted AI-conference papers

2024

Audio-Visual Segmentation via Unlabeled Frame Exploitation

Jinxiang Liu, Yikun Liu, Fei Zhang, Chen Ju, Ya Zhang, Yanfeng Wang

CVPR 2024poster

Audio-visual segmentation (AVS) aims to segment the sounding objects in video frames. Although great progress has been witnessed we experimentally reveal that current methods reach marginal performance gain within the use of the unlabeled frames leading to the underutilization issue. To fully explor…

Cited by 10 Source ↗PDF ↗Scholar ↗

2023

Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization

Chen Ju, Kunhao Zheng, Jinxiang Liu, Peisen Zhao, Ya Zhang, Jianlong Chang +2

CVPR 2023poster

Weakly-supervised temporal action localization (WTAL) learns to detect and classify action instances with only category labels. Most methods widely adopt the off-the-shelf Classification-Based Pre-training (CBP) to generate video features for action localization. However, the different optimization…

Cited by 29 Source ↗PDF ↗Scholar ↗