Ramesh Ashok Tabib

According to our database, Ramesh Ashok Tabib authored at least 37 papers between 2013 and 2024.

Collaborative distances:

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

2024

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results.

Xiaoning Liu, Zongwei Wu, Ao Li, Florin-Alexandru Vasluianu, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Zhi Jin, Hongjun Wu, Chenxi Wang, Haitao Ling, Yuanhao Cai, Hao Bian, Yuxin Zheng, Jing Lin, Alan L. Yuille, Ben Shao, Jin Guo, Tianli Liu, Mohao Wu, Yixu Feng, Shuo Hou, Haotian Lin, Yu Zhu, Peng Wu, Wei Dong, Jinqiu Sun, Yanning Zhang, Qingsen Yan, Wenbin Zou, Weipeng Yang, Yunxiang Li, Qiaomu Wei, Tian Ye, Sixiang Chen, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Zhichao Zuo, Mingshen Wang, Junhu Wang, Yanyan Wei, Xiaopeng Sun, Yu Gao, Jiancheng Huang, Hongming Chen, Xiang Chen, Hui Tang, Yuanbin Chen, Yuanbo Zhou, Xinwei Dai, Xintao Qiu, Wei Deng, Qinquan Gao, Tong Tong, Mingjia Li, Jin Hu, Xinyu He, Xiaojie Guo, Sabarinathan, K. Uma, A. Sasithradevi, B. Sathya Bama, S. Mohamed Mansoor Roomi, V. Srivatsav, Jinjuan Wang, Long Sun, Qiuying Chen, Jiahong Shao, Yizhi Zhang, Marcos V. Conde, Daniel Feijoo, Juan C. Benito, Alvaro García, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenyi Lian, Wenjing Lian, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

CoRR, 2024

NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results.

Zheng Chen, Zongwei Wu, Eduard Zamfir, Kai Zhang, Yulun Zhang, Radu Timofte, Xiaokang Yang, Hongyuan Yu, Cheng Wan, Yuxin Hong, Zhijuan Huang, Yajun Zou, Yuan Huang, Jiamin Lin, Bingnan Han, Xianyu Guan, Yongsheng Yu, Daoan Zhang, Xuanwu Yin, Kunlong Zuo, Jinhua Hao, Kai Zhao, Kun Yuan, Ming Sun, Chao Zhou, Hongyu An, Xinfeng Zhang, Zhiyuan Song, Ziyue Dong, Qing Zhao, Xiaogang Xu, Pengxu Wei, Zhi-Chao Dou, Gui-Ling Wang, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Cansu Korkmaz, A. Murat Tekalp, Yubin Wei, Xiaole Yan, Binren Li, Haonan Chen, Siqi Zhang, Sihan Chen, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Anjali Sarvaiya, Pooja Choksy, Jagrit Joshi, Shubh Kawa, Kishor P. Upla, Sushrut Patwardhan, Raghavendra Ramachandra, Sadat Hossain, Geongi Park, S. M. Nadim Uddin, Hao Xu, Yanhui Guo, Aman Urumbekov, Xingzhuo Yan, Wei Hao, Minghan Fu, Isaac Orais, Samuel Smith, Ying Liu, Wangwang Jia, Qisheng Xu, Kele Xu, Weijun Yuan, Zhan Li, Wenqing Kuang, Ruijin Guan, Ruting Deng, Zhao Zhang, Bo Wang, Suiyi Zhao, Yan Luo, Yanyan Wei, Asif Hussain Khan, Christian Micheloni, Niki Martinel

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

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

DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue.

Chaitra Desai, Sujay Benur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

DeFlare-Net: Flare Detection and Removal Network.

Allabakash Ghodesawar, Vinod Patil, Ankit Raichur, Swaroop Adrashyappanamath, Sampada Malagi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

Proceedings of the Pattern Recognition and Machine Intelligence, 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

LightNet: Generative Model for Enhancement of Low-Light Images.

Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chinmayee Mandi, Ramesh Ashok Tabib, Ujwala Patil, 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

MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results.

Yuekun Dai, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Qingpeng Zhu, Qianhui Sun, Wenxiu Sun, Chen Change Loy, Jinwei Gu, Shuai Liu, Hao Wang, Chaoyu Feng, Luyang Wang, Guangqi Shao, Chenguang Zhang, Xiaotao Wang, Lei Lei, Dafeng Zhang, Xiangyu Kong, Guanqun Liu, Mengmeng Bai, Jia Ouyang, Xiaobing Wang, Jiahui Yuan, Xinpeng Li, Chengzhi Jiang, Ting Jiang, Wenjie Lin, Qi Wu, Mingyan Han, Jinting Luo, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Bo Yan, Zhuang Li, Yadong Li, Hongbin Wang, Soonyong Song, Minghan Fu, Rayyan Azam Khan, Fang-Xiang Wu, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Bo Wang, Yan Luo, Shuaibo Gao, Wenhui Wu, Sicong Kang, Nikhil Akalwadi, Ankit Raichur, Vinod Patil, Allabakash Ghodesawar, Swaroop Adrashyappanamath, Amogh Joshi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Sicheng Li, Ruoxi Zhu, Jiazheng Lian, Shusong Xu, Zihao Liu, Sabari Nathan, Priya Kansal

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

Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data.

Akshaykumar Gunari, Shashidhar Veerappa Kudari, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the Pattern Recognition and Artificial Intelligence, 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

NTIRE 2022 Challenge on Night Photography Rendering.

Egor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

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

AquaGAN: Restoration of Underwater Images.

Chaitra Desai, Badduri Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

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

2021

Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data.

Shashidhar Veerappa Kudari, Akshaykumar Gunari, Adarsh Jamadandi, Ramesh Ashok Tabib, Uma Mudenagudi

CoRR, 2021

Deep Visual Attention-Based Transfer Clustering.

Akshaykumar Gunari, Shashidhar Veerappa Kudari, Sukanya Nadagadalli, Keerthi Goudnaik, Ramesh Ashok Tabib, Uma Mudenagudi, Adarsh Jamadandi

CoRR, 2021

Rendering of Synthetic Underwater Images Towards Restoration.

Chaitra Desai, Ramesh Ashok Tabib, Sai Sudheer Reddy, Ujwala Patil, Uma Mudenagudi

Proceedings of the SIGGRAPH Asia 2021 Posters, Tokyo, Japan, December 14-17, 2021., 2021

Modeling nuisance classifier towards class-incremental learning of crowd-sourced data.

Ramesh Ashok Tabib, T. Santoshkumar, Dikshit Hegde, Adarsh Jamadandi, Uma Mudenagudi

Proceedings of the ICVGIP '21: Indian Conference on Computer Vision, Graphics and Image Processing, Jodhpur, India, December 19, 2021

ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition.

Siddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition.

Siddharth Katageri, Sameer Kulmi, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

DeepDNet: Deep Dense Network for Depth Completion Task.

Girish Hegde, Tushar Pharale, Soumya Jahagirdar, Vaishakh Nargund, Ramesh Ashok Tabib, Uma Mudenagudi, Basavaraja S. Vandrotti, Ankit Dhiman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

RUIG: Realistic Underwater Image Generation Towards Restoration.

Chaitra Desai, Ramesh Ashok Tabib, Sai Sudheer Reddy, Ujwala Patil, Uma Mudenagudi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Refining SfM Reconstructed Models of Indian Heritage Sites.

T. Santoshkumar, Deepti Hegde, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the SIGGRAPH Asia 2020 Posters, 2020

FeatureNet: Upsampling of Point Cloud and it's Associated Features.

Shanthika Naik, Uma Mudenagudi, Ramesh Ashok Tabib, Adarsh Jamadandi

Proceedings of the SIGGRAPH Asia 2020 Posters, 2020

Probabilistic Word Embeddings in Kinematic Space.

Adarsh Jamadandi, Rishabh Tigadoli, Ramesh Ashok Tabib, Uma Mudenagudi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

3D-GCNN - 3D Object Classification Using 3D Grid Convolutional Neural Networks.

Rishabh Tigadoli, Ramesh Ashok Tabib, Adarsh Jamadandi, Uma Mudenagudi

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

A Polynomial Surface Fit Algorithm for Filling Holes in Point Cloud Data.

Vishwanath S. Teggihalli, Ramesh Ashok Tabib, Adarsh Jamadandi, Uma Mudenagudi

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Learning Based Image Selection for 3D Reconstruction of Heritage Sites.

Ramesh Ashok Tabib, Abhay Kagalkar, Abhijeet Ganapule, Ujwala Patil, Uma Mudenagudi

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Multiple Object Detection in 360° Videos for Robust Tracking.

V. Vineeth Kumar, Shanthika Naik, Polisetty L. Sarvani, Shreya M. Pattanshetti, Uma Mudenagudi, Meena Maralappanavar, Priyadarshini M. Patil, Ramesh Ashok Tabib, Basavaraja S. Vandrotti

Proceedings of the Pattern Recognition and Machine Intelligence, 2019

Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring.

Rohan Raju Dhanakshirur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2013

Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule.

Ramesh Ashok Tabib, Ujwala Patil, Syed Altaf Ganihar, Neeta Trivedi, Uma Mudenagudi

Proceedings of the Fourth National Conference on Computer Vision, 2013