Kevin Issac

I am an ELLIS/ELIZA Doctoral Researcher in the Visual Inference Lab at TU Darmstadt, supervised by Stefan Roth. My research focuses on computer vision and machine learning, with an emphasis on ill-posed problems such as sparse-view scene synthesis.

I obtained my Master’s degree in Visual Computing from Saarland University. During my Master’s, I was supervised by Jan Eric Lenssen at the Max Planck Institute for Informatics, Germany. Prior to that, I worked as a Research Assistant at the Spectrum Lab, Indian Institute of Science (IISc), where I conducted research in biomedical image processing under the supervision of Chandra Sekhar Seelamantula and Harish Kumar JR.

computer graphics · neural representations · geometry learning · computer vision

Email  /  CV  /  Github  /  Scholar

profile photo

News

  • Invited to be a CVPR'26 reviewer.
  • Spurfies accepted to 3DV'25 as an oral and nominated as an award candidate.
  • Presented latentSplat at ECCV'24 on Oct 3 2024.
  • latentSplat accepted to ECCV'24.
  • Successfully defended my Master's Thesis on April 9 2024.

Publications

Featured image from Spurfies: Sparse Surface Reconstruction using Local Geometry Priors Spurfies: Sparse Surface Reconstruction using Local Geometry Priors
Kevin Raj, Christopher Wewer, Raza Yunus, Eddy Ilg, Jan Eric Lenssen
International Conference on 3D Vision (3DV), Singapore, 2025 (Oral Presentation) (Award Candidate)
Paper / Project Website / BibTeX
Featured image from latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction latentSplat: Autoencoding Variational Gaussians for Fast Generalizable 3D Reconstruction
Christopher Wewer, Kevin Raj, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen
European Conference on Computer Vision (ECCV), Milan, Italy., 2024
Paper / Project Website / BibTeX
Featured image from Automatic Classification of Artery-Vein from a Single Wavelength Fundus Images Automatic Classification of Artery-Vein from a Single Wavelength Fundus Images
Kevin Raj, Aniketh Manjunath, J.R.H. Kumar, Chandra S. Seelamantula
IEEE International Symposium on Biomedical Imaging (ISBI), Iowa, USA., 2020
Paper / Supplementary / BibTeX
Featured image from A Structure Tensor based Voronoi Decomposition Technique for Optic Cup Segmentation A Structure Tensor based Voronoi Decomposition Technique for Optic Cup Segmentation
Kevin Raj, J.R.H Kumar, S. Jois, S. Harsha, Chandra S. Seelamantula
IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan., 2019 (Oral Presentation)
Paper / Supplementary / BibTeX
Featured image from Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs Automatic Segmentation of Common Carotid Artery in Longitudinal Mode Ultrasound Images Using Active Oblongs
J.R.H. Kumar, K. Teotia, Kevin Raj, A. Jasbon, K.V. Rajagopal, Chandra S. Seelamantula
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, UK., 2019
Paper / BibTeX

Projects

Featured image from Data Collection. Data Collection.
Project Website
Featured image from Computer Graphics-1: Rendering Competition. Computer Graphics-1: Rendering Competition.
Project Website
Featured image from Few-shot Semantic Segmentation of Wireless Capsule Endoscopy Images Few-shot Semantic Segmentation of Wireless Capsule Endoscopy Images
Paper / Code
Thanks to Jon Barron for making his template open source.