VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder. - Tejas Anvekar; Ramesh Ashok Tabib; Dikshit Hegde; Uma Mudengudi (CVPR Workshops, 2022)

DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction. - Dikshit Hegde; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudengudi (CVPR Workshops, 2022)

Metric-KNN is All You Need. - Tejas Anvekar; Ramesh Ashok Tabib; Dikshit Hegde; Uma Mudenagudi (SIGGRAPH Asia Posters, 2022)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (CoRR, 2022)

GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning. - Tejas Anvekar; Dena Bazazian (CVPR Workshops, 2023)

IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds. - Ramesh Ashok Tabib; Nitishkumar Upasi; Tejas Anvekar; Dikshit Hegde; Uma Mudenagudi (CVPR Workshops, 2023)

ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields. - Akash Kumbar; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (ICCV (Workshops), 2023)

TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling. - Akash Kumbar; Tejas Anvekar; Tulasi Amitha Vikrama; Ramesh Ashok Tabib; Uma Mudenagudi (ICCV (Workshops), 2023)

DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models. - Ramesh Ashok Tabib; Dikshit Hegde; Tejas Anvekar; Uma Mudenagudi (ICCV (Workshops), 2023)

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. - Benjamin Kiefer; Matej Kristan; Janez Pers; Lojze Zust; Fabio Poiesi; Fabio Augusto de Alcantara Andrade; Alexandre Bernardino; Matthew Dawkins; Jenni Raitoharju; Yitong Quan; Adem Atmaca; Timon Höfer; et al. (WACV (Workshops), 2023)

PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark. - Shivanand Kundargi; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (CoRR, 2023)

A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. - Shivanand Venkanna Sheshappanavar; Tejas Anvekar; Shivanand Kundargi; Yufan Wang; Chandra Kambhamettu (3DV, 2024)

Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). - Shivanand Kundargi; Tejas Anvekar; Ramesh Ashok Tabib; Uma Mudenagudi (AAAI, 2024)

TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation. - Vihang Pancholi; Jainit Sushil Bafna; Tejas Anvekar; Manish Shrivastava 001; Vivek Gupta 001 (ACL (Findings), 2025)

Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations. - Tejas Anvekar; Shivanand Venkanna Sheshappanavar (WACV (Workshops), 2025)

Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE. - Abhijit Chakraborty 004; Chahana Dahal; Ashutosh Balasubramaniam; Tejas Anvekar; Vivek Gupta (CoRR, 2025)

Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective. - Krishna Singh Rajput; Tejas Anvekar; Chitta Baral; Vivek Gupta (CoRR, 2025)