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2020 – today
- 2024
[c11]Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu:
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. 3DV 2024: 516-527- [c10]Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract). AAAI 2024: 23552-23553 - [i5]Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu:
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View. CoRR abs/2402.07819 (2024) - [i4]Tejas Anvekar, Shivanand Venkanna Sheshappanavar:
Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations. CoRR abs/2409.06267 (2024) - 2023
- [c9]Ramesh Ashok Tabib, Nitishkumar Upasi, Tejas Anvekar, Dikshit Hegde, Uma Mudenagudi:
IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds. CVPR Workshops 2023: 2736-2744 - [c8]Tejas Anvekar, Dena Bazazian:
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning. CVPR Workshops 2023: 4179-4188 - [c7]Ramesh Ashok Tabib, Dikshit Hegde, Tejas Anvekar, Uma Mudenagudi:
DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models. ICCV (Workshops) 2023: 1595-1604 - [c6]Akash Kumbar, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields. ICCV (Workshops) 2023: 1644-1653 - [c5]Akash Kumbar, Tejas Anvekar, Tulasi Amitha Vikrama, Ramesh Ashok Tabib, Uma Mudenagudi:
TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling. ICCV (Workshops) 2023: 2264-2274 - [c4]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:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. WACV (Workshops) 2023: 265-302 - [i3]Tejas Anvekar, Dena Bazazian:
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning. CoRR abs/2304.06007 (2023) - [i2]Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark. CoRR abs/2304.06775 (2023) - 2022
- [c3]Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudengudi:
VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder. CVPR Workshops 2022: 2977-2984 - [c2]Dikshit Hegde, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi:
DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction. CVPR Workshops 2022: 5089-5096 - [c1]Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudenagudi:
Metric-KNN is All You Need. SIGGRAPH Asia Posters 2022: 31:1-31:2 - [i1]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:
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results. CoRR abs/2211.13508 (2022)
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