1 citations · 3 across the 5 of their papers we have counts for
5 papers
The Language of Touch: Translating Vibrations into Text with Dual-Branch Learning
Jin Chen, Yifeng Lin, Chao Zeng +2
The standardization of vibrotactile data by IEEE P1918.1 workgroup has greatly advanced its applications in virtual reality, human-computer interaction and embodied artificial inte…
Dual Swin-Transformer based Mutual Interactive Network for RGB-D Salient Object Detection
Chao Zeng, Sam Kwong
Salient Object Detection is the task of predicting the human attended region in a given scene. Fusing depth information has been proven effective in this task. The main challenge o…
Learning Transformer Features for Image Quality Assessment
Chao Zeng, Sam Kwong
Objective image quality evaluation is a challenging task, which aims to measure the quality of a given image automatically. According to the availability of the reference images, t…
Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder
Chao Zeng, Tiesong Zhao, Sam Kwong
Automatically evaluating the quality of image captions can be very challenging since human language is quite flexible that there can be various expressions for the same meaning. Mo…
Intrinsic Image Captioning Evaluation
Chao Zeng, Sam Kwong
The image captioning task is about to generate suitable descriptions from images. For this task there can be several challenges such as accuracy, fluency and diversity. However the…