11 citations · 14 across the 5 of their papers we have counts for
6 papers
Open-Vocabulary Audio-Visual Semantic Segmentation
Ruohao Guo, Liao Qu, Dantong Niu +5
Audio-visual semantic segmentation (AVSS) aims to segment and classify sounding objects in videos with acoustic cues. However, most approaches operate on the close-set assumption a…
Audio-Visual Instance Segmentation
Ruohao Guo, Xianghua Ying, Yaru Chen +11
In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding obj…
Moiré Attack (MA): A New Potential Risk of Screen Photos
Dantong Niu, Ruohao Guo, Yisen Wang
Images, captured by a camera, play a critical role in training Deep Neural Networks (DNNs). Usually, we assume the images acquired by cameras are consistent with the ones perceived…
AdvDrop: Adversarial Attack to DNNs by Dropping Information
Ranjie Duan, Yuefeng Chen, Dantong Niu +3
Human can easily recognize visual objects with lost information: even losing most details with only contour reserved, e.g. cartoon. However, in terms of visual perception of Deep N…
SOTR: Segmenting Objects with Transformers
Ruohao Guo, Dantong Niu, Liao Qu +1
Most recent transformer-based models show impressive performance on vision tasks, even better than Convolution Neural Networks (CNN). In this work, we present a novel, flexible, an…
LeafMask: Towards Greater Accuracy on Leaf Segmentation
Ruohao Guo, Liao Qu, Dantong Niu +2
Leaf segmentation is the most direct and effective way for high-throughput plant phenotype data analysis and quantitative researches of complex traits. Currently, the primary goal…