Anvekar, T.[Tejas]
* 2022: DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction
* 2022: VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder
* 2023: 1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
* 2023: ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields
* 2023: DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models
* 2023: GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
* 2023: IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds
* 2023: TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling
8 for Anvekar, T.
Anver, J.[Jesna]
* 2016: Single-image super-resolution using kernel recursive least squares
* 2019: Single-image super-resolution using online kernel adaptive filters