18 citations · 34 across the 13 of their papers we have counts for
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cs.CV2023
Delving into Shape-aware Zero-shot Semantic Segmentation
Xinyu Liu, Beiwen Tian, Zhen Wang +5
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a su…
cs.CV2023
DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection
Huan-ang Gao, Beiwen Tian, Pengfei Li +2
In this paper, we study the problem of semi-supervised 3D object detection, which is of great importance considering the high annotation cost for cluttered 3D indoor scenes. We res…
cs.CV2023★ 2 cited
From Semi-supervised to Omni-supervised Room Layout Estimation Using Point Clouds
Huan-ang Gao, Beiwen Tian, Pengfei Li +5
Room layout estimation is a long-existing robotic vision task that benefits both environment sensing and motion planning. However, layout estimation using point clouds (PCs) still…