Tejas Anvekar

29 papers A* 1Journal 14Unranked 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity.
CoRR
Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta
2026 — conf
Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments.
EACL (System Demonstrations)
Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta
2026 J jnl
Integrity Shield A System for Ethical AI Use & Authorship Transparency in Assessments.
CoRR
Ashish Raj Shekhar, Shiven Agarwal, Priyanuj Bordoloi, Yash Shah, Tejas Anvekar, Vivek Gupta
2026 J jnl
TraceBack: Multi-Agent Decomposition for Fine-Grained Table Attribution.
CoRR
Tejas Anvekar, Junha Park, Rajat Aayush Jha, Devanshu Gupta, Poojah Ganesan, Puneeth Mathur, Vivek Gupta
2026 J jnl
ViTaB-A: Evaluating Multimodal Large Language Models on Visual Table Attribution.
CoRR
Yahia Alqurnawi, Preetom Biswas, Anmol Rao, Tejas Anvekar, Chitta Baral, Vivek Gupta
2025 J jnl
Is Architectural Complexity Overrated? Competitive and Interpretable Knowledge Graph Completion with RelatE.
CoRR
Abhijit Chakraborty, Chahana Dahal, Ashutosh Balasubramaniam, Tejas Anvekar, Vivek Gupta
2025 — conf
Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations.
WACV (Workshops)
Tejas Anvekar, Shivanand Venkanna Sheshappanavar
2025 — conf
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective.
IJCNLP-AACL (long papers)
Tejas Anvekar, Krishna Singh Rajput, Chitta Baral, Vivek Gupta
2025 J jnl
Rethinking Information Synthesis in Multimodal Question Answering A Multi-Agent Perspective.
CoRR
Krishna Singh Rajput, Tejas Anvekar, Chitta Baral, Vivek Gupta
2025 J jnl
TabReX : Tabular Referenceless eXplainable Evaluation.
CoRR
Tejas Anvekar, Juhna Park, Aparna Garimella, Vivek Gupta
2025 — conf
TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation.
ACL (Findings)
Vihang Pancholi, Jainit Sushil Bafna, Tejas Anvekar, Manish Shrivastava, Vivek Gupta
2025 J jnl
TabXEval: Why this is a Bad Table? An eXhaustive Rubric for Table Evaluation.
CoRR
Vihang Pancholi, Jainit Sushil Bafna, Tejas Anvekar, Manish Shrivastava, Vivek Gupta
2025 J jnl
The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs.
CoRR
Tejas Anvekar, Fenil Denish Bardoliya, Pavan K. Turaga, Chitta Baral, Vivek Gupta
2024 — conf
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View.
3DV
Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu
2024 J jnl
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View.
CoRR
Shivanand Venkanna Sheshappanavar, Tejas Anvekar, Shivanand Kundargi, Yufan Wang, Chandra Kambhamettu
2024 J jnl
Mahalanobis k-NN: A Statistical Lens for Robust Point-Cloud Registrations.
CoRR
Tejas Anvekar, Shivanand Venkanna Sheshappanavar
2024 A* conf
Novel Class Discovery for Representation of Real-World Heritage Data as Neural Radiance Fields (Student Abstract).
AAAI
Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi
2023 — conf
1
WACV (Workshops)
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, Ziqiang Zheng, 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
2023 — conf
ASUR3D: Arbitrary Scale Upsampling and Refinement of 3D Point Clouds using Local Occupancy Fields.
ICCV (Workshops)
Akash Kumbar, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi
2023 — conf
DeFi: Detection and Filling of Holes in Point Clouds Towards Restoration of Digitized Cultural Heritage Models.
ICCV (Workshops)
Ramesh Ashok Tabib, Dikshit Hegde, Tejas Anvekar, Uma Mudenagudi
2023 — conf
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning.
CVPR Workshops
Tejas Anvekar, Dena Bazazian
2023 J jnl
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning.
CoRR
Tejas Anvekar, Dena Bazazian
2023 — conf
IPD-Net: SO(3) Invariant Primitive Decompositional Network for 3D Point Clouds.
CVPR Workshops
Ramesh Ashok Tabib, Nitishkumar Upasi, Tejas Anvekar, Dikshit Hegde, Uma Mudenagudi
2023 J jnl
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark.
CoRR
Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi
2023 — conf
TP-NoDe: Topology-aware Progressive Noising and Denoising of Point Clouds towards Upsampling.
ICCV (Workshops)
Akash Kumbar, Tejas Anvekar, Tulasi Amitha Vikrama, Ramesh Ashok Tabib, Uma Mudenagudi
2022 J jnl
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results.
CoRR
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, Ziqiang Zheng, 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
2022 — conf
DA-AE: Disparity-Alleviation Auto-Encoder Towards Categorization of Heritage Images for Aggrandized 3D Reconstruction.
CVPR Workshops
Dikshit Hegde, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudengudi
2022 — conf
Metric-KNN is All You Need.
SIGGRAPH Asia Posters
Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudenagudi
2022 — conf
VG-VAE: A Venatus Geometry Point-Cloud Variational Auto-Encoder.
CVPR Workshops
Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudengudi