Code

My Research Code

Code repositories from my first-author publications, maintained in my GitHub.

  • Neural Experts - Mixture of Experts for Implicit Neural Representations (NeurIPS 2024)
  • 3DInAction - Understanding Human Actions in 3D Point Clouds (CVPR 2024)
  • DiGS - Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds (CVPR 2022)
  • IKEA ASM Dataset - Understanding People Assembling Furniture through Actions, Objects and Pose (WACV 2021)
  • DeepFit - 3D Surface Fitting via Neural Network Weighted Least Squares (ECCV 2020)
  • Nesti-Net - Normal Estimation for Unstructured 3D Point Clouds (CVPR 2019)
  • 3DmFV-Net - 3D Point Cloud Classification in Real-Time (RA-L 2018)

Collaborative Research Code

Code repositories from collaborative research projects led by co-authors.

  • VI3NR - Variance Informed Initialization for Implicit Neural Representations (CVPR 2025, led by Chamin Hewa Koneputugodage)
  • PG-SDF - Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance (CVPR 2024, led by Chamin Hewa Koneputugodage)
  • IKEA Assembly in the Wild Dataset - Aligning Step-by-Step Instructional Diagrams to Video Demonstrations (CVPR 2023, led by Jiahao Zhang)
  • GraVoS - Voxel Selection for 3D Point-Cloud Detection (CVPR 2023, led by Oren Shrout)
  • OG-INR - Octree Guided Unoriented Surface Reconstruction (CVPR 2023, led by Chamin Hewa Koneputugodage)
  • CloudWalker - Random walks for 3D point cloud shape analysis (SMI 2022, led by Adi Mesika)

Additional Resources

Some useful functions can be found in: