212 citations · 838 across the 55 of their papers we have counts for
11 papers · 1 filter
Few-shot Action Recognition with Captioning Foundation Models
Xiang Wang, Shiwei Zhang, Hangjie Yuan +4
Transferring vision-language knowledge from pretrained multimodal foundation models to various downstream tasks is a promising direction. However, most current few-shot action reco…
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
Feng Zhang, Ming Tian, Zhiqiang Li +4
Tone mapping aims to convert high dynamic range (HDR) images to low dynamic range (LDR) representations, a critical task in the camera imaging pipeline. In recent years, 3-Dimensio…
Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning
Zhiwu Qing, Shiwei Zhang, Ziyuan Huang +4
Recently, large-scale pre-trained language-image models like CLIP have shown extraordinary capabilities for understanding spatial contents, but naively transferring such models to…
Towards General Low-Light Raw Noise Synthesis and Modeling
Feng Zhang, Bin Xu, Zhiqiang Li +4
Modeling and synthesizing low-light raw noise is a fundamental problem for computational photography and image processing applications. Although most recent works have adopted phys…
HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Huaxin Zhang, Xiang Wang, Xiaohao Xu +3
Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning. However, current methods mainly focus on optimizing the networ…
PLIP: Language-Image Pre-training for Person Representation Learning
Jialong Zuo, Jiahao Hong, Feng Zhang +5
Language-image pre-training is an effective technique for learning powerful representations in general domains. However, when directly turning to person representation learning, th…