26 citations · 76 across the 17 of their papers we have counts for
8 papers · 1 filter
AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-realistic Style Transfer
Tianwei Lin, Honglin Lin, Fu Li +5
Photo-realistic style transfer aims at migrating the artistic style from an exemplar style image to a content image, producing a result image without spatial distortions or unreali…
RRSR:Reciprocal Reference-based Image Super-Resolution with Progressive Feature Alignment and Selection
Lin Zhang, Xin Li, Dongliang He +3
Reference-based image super-resolution (RefSR) is a promising SR branch and has shown great potential in overcoming the limitations of single image super-resolution. While previous…
It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training
Yuxin Song, Min Yang, Wenhao Wu +3
Self-supervised video transformer pre-training has recently benefited from the mask-and-predict pipeline. They have demonstrated outstanding effectiveness on downstream video tasks…
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li +49
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…
Boosting Video-Text Retrieval with Explicit High-Level Semantics
Haoran Wang, Di Xu, Dongliang He +4
Video-text retrieval (VTR) is an attractive yet challenging task for multi-modal understanding, which aims to search for relevant video (text) given a query (video). Existing metho…
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
Haoran Wang, Dongliang He, Wenhao Wu +7
Image-Text Retrieval (ITR) is challenging in bridging visual and lingual modalities. Contrastive learning has been adopted by most prior arts. Except for limited amount of negative…
Neural Color Operators for Sequential Image Retouching
Yili Wang, Xin Li, Kun Xu +4
We propose a novel image retouching method by modeling the retouching process as performing a sequence of newly introduced trainable neural color operators. The neural color operat…
Adversarial Dual-Student with Differentiable Spatial Warping for Semi-Supervised Semantic Segmentation
Cong Cao, Tianwei Lin, Dongliang He +4
A common challenge posed to robust semantic segmentation is the expensive data annotation cost. Existing semi-supervised solutions show great potential for solving this problem. Th…