most citedCLUSTSEG: Clustering for Universal Segmentation

27 citations · 29 across the 2 of their papers we have counts for

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cs.CV2023★ 27 cited

CLUSTSEG: Clustering for Universal Segmentation

James Liang, Tianfei Zhou, Dongfang Liu +1

We present CLUSTSEG, a general, transformer-based framework that tackles different image segmentation tasks (i.e., superpixel, semantic, instance, and panoptic) through a unified n…

cs.CV2022★ 2 cited

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

Zhiyuan Cheng, James Liang, Hongjun Choi +4

Deep learning has substantially boosted the performance of Monocular Depth Estimation (MDE), a critical component in fully vision-based autonomous driving (AD) systems (e.g., Tesla…