4 citations · 7 across the 7 of their papers we have counts for
5 papers · 1 filter
Towards Long Video Understanding via Fine-detailed Video Story Generation
Zeng You, Zhiquan Wen, Yaofo Chen +4
Long video understanding has become a critical task in computer vision, driving advancements across numerous applications from surveillance to content retrieval. Existing video und…
Motion-aware Latent Diffusion Models for Video Frame Interpolation
Zhilin Huang, Yijie Yu, Ling Yang +6
With the advancement of AIGC, video frame interpolation (VFI) has become a crucial component in existing video generation frameworks, attracting widespread research interest. For t…
RTracker: Recoverable Tracking via PN Tree Structured Memory
Yuqing Huang, Xin Li, Zikun Zhou +3
Existing tracking methods mainly focus on learning better target representation or developing more robust prediction models to improve tracking performance. While tracking performa…
Reliability-Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation
Zikun Zhou, Kaige Mao, Wenjie Pei +3
This paper aims to solve the video object segmentation (VOS) task in a scribble-supervised manner, in which VOS models are not only trained by the sparse scribble annotations but a…
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
Fang Peng, Xiaoshan Yang, Linhui Xiao +2
Although significant progress has been made in few-shot learning, most of existing few-shot image classification methods require supervised pre-training on a large amount of sample…