Tejas Anvekar

According to our database, Tejas Anvekar authored at least 14 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations.

Tejas Anvekar, Shivanand Venkanna Sheshappanavar

CoRR, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Benchmark Grocery Dataset of Realworld Point Clouds From Single View.

Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu

Proceedings of the International Conference on 3D Vision, 2024

2023

PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark.

Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi

CoRR, 2023

1^st 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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields.

Akash Kumbar, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds.

Ramesh Ashok Tabib, Nitishkumar Upasi, Tejas Anvekar, Dikshit Hegde, Uma Mudenagudi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning.

Tejas Anvekar, Dena Bazazian

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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, Qiming Zhang, Yufei Xu, Jing Zhang, Dacheng Tao, Lars Sommer, Raphael Spraul, Hangyue Zhao, Hongpu Zhang, Yanyun Zhao, Jan Lukas Augustin, Eui-ik Jeon, Impyeong Lee, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Sagar Verma, Siddharth Gupta, Shishir Muralidhara, Niharika Hegde, Daitao Xing, Nikolaos Evangeliou, Anthony Tzes, Vojtech Bartl, Jakub Spanhel, Adam Herout, Neelanjan Bhowmik, Toby P. Breckon, Shivanand Kundargi, Tejas Anvekar, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudengudi, Arpita Vats, Yang Song, Delong Liu, Yonglin Li, Shuman Li, Chenhao Tan, Long Lan, Vladimir Somers, Christophe De Vleeschouwer, Alexandre Alahi, Hsiang-Wei Huang, Cheng-Yen Yang, Jenq-Neng Hwang, Pyong-Kun Kim, Kwangju Kim, Kyoungoh Lee, Shuai Jiang, Haiwen Li, Zheng Ziqiang, Tuan-Anh Vu, Hai Nguyen-Truong, Sai-Kit Yeung, Zhuang Jia, Sophia Yang, Chih-Chung Hsu, Xiu-Yu Hou, Yu-An Jhang, Simon Yang, Mau-Tsuen Yang

CoRR, 2022

Metric-KNN is All You Need.

Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudenagudi

Proceedings of the SIGGRAPH Asia 2022 Posters, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder.

Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudengudi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022