Sk Aziz Ali

activity

20202024

most citedRPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut

2^{D}

-Tree Representation

4 citations · 6 across the 4 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 4 cited

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut $2^{D}$ -Tree Representation

Sk Aziz Ali, Kerem Kahraman, Gerd Reis +1

We propose RPSRNet - a novel end-to-end trainable deep neural network for rigid point set registration. For this task, we use a novel $2^{D}$ -tree representation for the input point…

cs.CV2020★ 1 cited

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map

Jameel Malik, Ibrahim Abdelaziz, Ahmed Elhayek +5

3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. The state-of-the-art methods directly regress 3D…

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2D-Tree Representation

HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation from a Single Depth Map

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut $2^{D}$ -Tree Representation