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20152023
most citedDeep Variational Instance Segmentation

4 citations · 8 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2023

Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality

Jialin Yuan, Ye Yu, Gaurav Mittal +3

There is a rapidly growing need for multimodal content moderation (CM) as more and more content on social media is multimodal in nature. Existing unimodal CM systems may fail to ca…

cs.CV2023★ 2 cited

Maximal Cliques on Multi-Frame Proposal Graph for Unsupervised Video Object Segmentation

Jialin Yuan, Jay Patravali, Hung Nguyen +2

Unsupervised Video Object Segmentation (UVOS) aims at discovering objects and tracking them through videos. For accurate UVOS, we observe if one can locate precise segment proposal…

cs.CV2022★ 1 cited

BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation

Ye Yu, Jialin Yuan, Gaurav Mittal +2

Video Object Segmentation (VOS) is fundamental to video understanding. Transformer-based methods show significant performance improvement on semi-supervised VOS. However, existing…

cs.CV2020★ 4 cited

Deep Variational Instance Segmentation

Jialin Yuan, Chao Chen, Li Fuxin

Instance Segmentation, which seeks to obtain both class and instance labels for each pixel in the input image, is a challenging task in computer vision. State-of-the-art algorithms…

cs.CV2015★ 1 cited

Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification

Fang Liu, Junfei Shi, Licheng Jiao +5

For polarimetric SAR (PolSAR) image classification, it is a challenge to classify the aggregated terrain types, such as the urban area, into semantic homogenous regions due to shar…