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Bei Gan

4 accepted papers

2023

Collaborative Noisy Label Cleaner: Learning Scene-Aware Trailers for Multi-Modal Highlight Detection in Movies

CVPR 2023poster

Movie highlights stand out of the screenplay for efficient browsing and play a crucial role on social media platforms. Based on existing efforts, this work has two observations: (1) For different annotators, labeling highlight has uncertainty, which leads to inaccurate and time-consuming annotations…

2023

D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation

ICCV 2023poster

Temporal sentence grounding (TSG) aims to locate a specific moment from an untrimmed video with a given natural language query. Recently, weakly supervised methods still have a large performance gap compared to fully supervised ones, while the latter requires laborious timestamp annotations. In this…

Cited by 15PDFcodeScholar
2023

NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation

CVPR 2023poster

Temporal video segmentation is the get-to-go automatic video analysis, which decomposes a long-form video into smaller components for the following-up understanding tasks. Recent works have studied several levels of granularity to segment a video, such as shot, event, and scene. Those segmentations…

2021

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

CVPR 2021poster

The rapid progress of photorealistic synthesis techniques has reached at a critical point where the boundary between real and manipulated images starts to blur. Thus, benchmarking and advancing digital forgery analysis have become a pressing issue. However, existing face forgery datasets either have…

Cited by 178PDFScholar