8 citations · 16 across the 8 of their papers we have counts for
11 papers
Structured Context Learning for Generic Event Boundary Detection
Xin Gu, Congcong Li, Xinyao Wang +5
Generic Event Boundary Detection (GEBD) aims to identify moments in videos that humans perceive as event boundaries. This paper proposes a novel method for addressing this task, ca…
High-Fidelity Image Inpainting with Multimodal Guided GAN Inversion
Libo Zhang, Yongsheng Yu, Jiali Yao +1
Generative Adversarial Network (GAN) inversion have demonstrated excellent performance in image inpainting that aims to restore lost or damaged image texture using its unmasked con…
Context-Guided Spatio-Temporal Video Grounding
Xin Gu, Heng Fan, Yan Huang +2
Spatio-temporal video grounding (or STVG) task aims at locating a spatio-temporal tube for a specific instance given a text query. Despite advancements, current methods easily suff…
Flow-Guided Diffusion for Video Inpainting
Bohai Gu, Yongsheng Yu, Heng Fan +1
Video inpainting has been challenged by complex scenarios like large movements and low-light conditions. Current methods, including emerging diffusion models, face limitations in q…
Local Compressed Video Stream Learning for Generic Event Boundary Detection
Libo Zhang, Xin Gu, Congcong Li +2
Generic event boundary detection aims to localize the generic, taxonomy-free event boundaries that segment videos into chunks. Existing methods typically require video frames to be…
Collaborative Three-Stream Transformers for Video Captioning
Hao Wang, Libo Zhang, Heng Fan +1
As the most critical components in a sentence, subject, predicate and object require special attention in the video captioning task. To implement this idea, we design a novel frame…