337 citations · 344 across the 2 of their papers we have counts for
3 papers
cs.CV2019
Rescan: Inductive Instance Segmentation for Indoor RGBD Scans
Maciej Halber, Yifei Shi, Kai Xu +1
In depth-sensing applications ranging from home robotics to AR/VR, it will be common to acquire 3D scans of interior spaces repeatedly at sparse time intervals (e.g., as part of re…
cs.LG2019★ 7 cited
Accelerating Large-Kernel Convolution Using Summed-Area Tables
Linguang Zhang, Maciej Halber, Szymon Rusinkiewicz
Expanding the receptive field to capture large-scale context is key to obtaining good performance in dense prediction tasks, such as human pose estimation. While many state-of-the-…
cs.CV2017★ 337 cited
Matterport3D: Learning from RGB-D Data in Indoor Environments
Angel Chang, Angela Dai, Thomas Funkhouser +6
Access to large, diverse RGB-D datasets is critical for training RGB-D scene understanding algorithms. However, existing datasets still cover only a limited number of views or a re…