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Journal Articles
- 2018
[j8]D. G. Narayan
, Uma Mudenagudi:
A cross-layer interference and delay-aware routing metric for multi-radio infrastructure wireless mesh networks. Int. J. Ad Hoc Ubiquitous Comput. 29(4): 290-307 (2018)- [j7]Shankar Setty, Uma Mudenagudi:
Region of Interest-Based 3D Inpainting of Cultural Heritage Artifacts. ACM Journal on Computing and Cultural Heritage 11(2): 9:1-9:21 (2018) - [j6]Shankar Setty, Uma Mudenagudi:
Example-based 3D inpainting of point clouds using metric tensor and Christoffel symbols. Mach. Vis. Appl. 29(2): 329-343 (2018) - 2017
- [j5]D. G. Narayan, Uma Mudenagudi:
A joint approach to routing metrics and application-aware rate adaptation in multi-radio wireless mesh networks. J. High Speed Networks 23(2): 93-108 (2017) - 2016
- [j4]D. G. Narayan, Uma Mudenagudi:
A cross-layer framework for joint routing and rate adaptation in infrastructure Wireless Mesh Networks. Comput. Electr. Eng. 56: 113-129 (2016) - [j3]D. G. Narayan, Uma Mudenagudi:
A cross-layer optimization for delay-aware load balancing in multi-radio wireless mesh networks. J. High Speed Networks 22(2): 77-93 (2016) - 2011
- [j2]Uma Mudenagudi, Subhashis Banerjee, Prem Kumar Kalra:
Space-Time Super-Resolution Using Graph-Cut Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 995-1008 (2011) - 2004
- [j1]A. N. Rajagopalan, Subhasis Chaudhuri, Uma Mudenagudi:
Depth Estimation and Image Restoration Using Defocused Stereo Pairs. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1521-1525 (2004)
Conference and Workshop Papers
- 2024
- [c60]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 - [c59]Amogh Joshi, Nikhil Akalwadi, Chinmayee Mandi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
HNN: Hierarchical Noise-Deinterlace Net Towards Image Denoising. CVPR Workshops 2024: 3007-3016 - [c58]Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudenagudi:
LGAfford-Net: A Local Geometry Aware Affordance Detection Network for 3D Point Clouds. CVPR Workshops 2024: 5261-5270 - [c57]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:
NTIRE 2024 Challenge on Image Super-Resolution (×4): Methods and Results. CVPR Workshops 2024: 6108-6132 - [c56]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, MingSheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468 - [c55]Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sharif S. M. A, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad 'Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Anil Gonde, Subrahmanyam Murala, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu:
NTIRE 2024 Image Shadow Removal Challenge Report. CVPR Workshops 2024: 6547-6570 - [c54]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, Xingzhuo Yan, Wei Hao, Minghan Fu, Pooja Choksy, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Hailong Yan, Yunkai Zhang, Baiang Li, Jingyi Zhang, Huan Zheng:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CVPR Workshops 2024: 6571-6594 - [c53]Bin Ren, Yawei Li, Nancy Mehta, Radu Timofte, Hongyuan Yu, Cheng Wan, Yuxin Hong, Bingnan Han, Zhuoyuan Wu, Yajun Zou, Yuqing Liu, Jizhe Li, Keji He, Chao Fan, Heng Zhang, Xiaolin Zhang, Xuanwu Yin, Kunlong Zuo, Bohao Liao, Peizhe Xia, Long Peng, Zhibo Du, Xin Di, Wangkai Li, Yang Wang, Wei Zhai, Renjing Pei, Jiaming Guo, Songcen Xu, Yang Cao, Zhengjun Zha, Yan Wang, Yi Liu, Qing Wang, Gang Zhang, Liou Zhang, Shijie Zhao, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Xin Liu, Min Yan, Qian Wang, Menghan Zhou, Yiqiang Yan, Yixuan Liu, Wensong Chan, Dehua Tang, Dong Zhou, Li Wang, Lu Tian, Emad Barsoum, Bohan Jia, Junbo Qiao, Yunshuai Zhou, Yun Zhang, Wei Li, Shaohui Lin, Shenglong Zhou, Binbin Chen, Jincheng Liao, Suiyi Zhao, Zhao Zhang, Bo Wang, Yan Luo, Yanyan Wei, Feng Li, Mingshen Wang, Yawei Li, Jinhan Guan, Dehua Hu, Jiawei Yu, Qisheng Xu, Tao Sun, Long Lan, Kele Xu, Xin Lin, Jingtong Yue, Lehan Yang, Shiyi Du, Lu Qi, Chao Ren, Zeyu Han, Yuhan Wang, Chaolin Chen, Haobo Li, Mingjun Zheng, Zhongbao Yang, Lianhong Song, Xingzhuo Yan, Minghan Fu, Jingyi Zhang, Baiang Li, Qi Zhu, Xiaogang Xu, Dan Guo, Chunle Guo, Jiadi Chen, Huanhuan Long, Chunjiang Duanmu, Xiaoyan Lei, Jie Liu, Weilin Jia, Weifeng Cao, Wenlong Zhang, Yanyu Mao, Ruilong Guo, Nihao Zhang, Qian Wang, Manoj Pandey, Maksym Chernozhukov, Giang Le, Shuli Cheng, Hongyuan Wang, Ziyan Wei, Qingting Tang, Liejun Wang, Yongming Li, Yanhui Guo, Hao Xu, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou, Amogh Joshi, Nikhil Akalwadi, Sampada Malagi, Palani Yashaswini, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report. CVPR Workshops 2024: 6595-6631 - 2023
- [c52]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 - [c51]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:
MIPI 2023 Challenge on Nighttime Flare Removal: Methods and Results. CVPR Workshops 2023: 2853-2863 - [c50]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 - [c49]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 - [c48]Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chinmayee Mandi, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
LightNet: Generative Model for Enhancement of Low-Light Images. ICCV (Workshops) 2023: 2223-2232 - [c47]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 - [c46]Allabakash Ghodesawar, Vinod Patil, Ankit Raichur, Swaroop Adrashyappanamath, Sampada Malagi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
DeFlare-Net: Flare Detection and Removal Network. PReMI 2023: 465-472 - [c45]Chaitra Desai, Sujay Benur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
DepthCue: Restoration of Underwater Images Using Monocular Depth as a Clue. WACV (Workshops) 2023: 196-205 - 2022
- [c44]Chaitra Desai, Badduri Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
AquaGAN: Restoration of Underwater Images. CVPR Workshops 2022: 295-303 - [c43]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:
NTIRE 2022 Challenge on Night Photography Rendering. CVPR Workshops 2022: 1286-1299 - [c42]Akshaykumar Gunari, Shashidhar Veerappa Kudari, Ramesh Ashok Tabib, Uma Mudenagudi:
Progressive Clustering: An Unsupervised Approach Towards Continual Knowledge Acquisition of Incremental Data. ICPRAI (2) 2022: 355-367 - [c41]Tejas Anvekar, Ramesh Ashok Tabib, Dikshit Hegde, Uma Mudenagudi:
Metric-KNN is All You Need. SIGGRAPH Asia Posters 2022: 31:1-31:2 - 2021
- [c40]Adarsh Jamadandi, Uma Mudenagudi:
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract). AAAI 2021: 15801-15802 - [c39]Chaitra Desai, Ramesh Ashok Tabib, Sai Sudheer Reddy, Ujwala Patil, Uma Mudenagudi:
RUIG: Realistic Underwater Image Generation Towards Restoration. CVPR Workshops 2021: 2181-2189 - [c38]Girish Hegde, Tushar Pharale, Soumya Jahagirdar, Vaishakh Nargund, Ramesh Ashok Tabib, Uma Mudenagudi, Basavaraja S. Vandrotti, Ankit Dhiman:
DeepDNet: Deep Dense Network for Depth Completion Task. CVPR Workshops 2021: 2190-2199 - [c37]Siddharth Katageri, Sameer Kulmi, Ramesh Ashok Tabib, Uma Mudenagudi:
PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition. CVPR Workshops 2021: 2200-2208 - [c36]Siddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi:
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition. ICCVW 2021: 2049-2057 - [c35]Ramesh Ashok Tabib, T. Santoshkumar, Dikshit Hegde, Adarsh Jamadandi, Uma Mudenagudi:
Modeling nuisance classifier towards class-incremental learning of crowd-sourced data. ICVGIP 2021: 33:1-33:7 - [c34]Chaitra Desai, Ramesh Ashok Tabib, Sai Sudheer Reddy, Ujwala Patil, Uma Mudenagudi:
Rendering of Synthetic Underwater Images Towards Restoration. SIGGRAPH ASIA Posters 2021: 37:1-37:2 - 2020
- [c33]Adarsh Jamadandi, Rishabh Tigadoli, Ramesh Ashok Tabib, Uma Mudenagudi:
Probabilistic Word Embeddings in Kinematic Space. ICPR 2020: 8759-8765 - [c32]Shanthika Naik, Uma Mudenagudi, Ramesh Ashok Tabib, Adarsh Jamadandi:
FeatureNet: Upsampling of Point Cloud and it's Associated Features. SIGGRAPH Asia Posters 2020: 32:1-32:2 - [c31]T. Santoshkumar, Deepti Hegde, Ramesh Ashok Tabib, Uma Mudenagudi:
Refining SfM Reconstructed Models of Indian Heritage Sites. SIGGRAPH Asia Posters 2020: 33:1-33:2 - 2019
- [c30]Adarsh Jamadandi, Uma Mudenagudi:
Exemplar-based Underwater Image Enhancement Augmented by Wavelet Corrected Transforms. CVPR Workshops 2019: 11-17 - [c29]Rohan Raju Dhanakshirur, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi:
Evidence Based Feature Selection and Collaborative Representation Towards Learning Based PSF Estimation for Motion Deblurring. ICCV Workshops 2019: 1008-1016 - [c28]Rishabh Tigadoli, Ramesh Ashok Tabib, Adarsh Jamadandi, Uma Mudenagudi:
3D-GCNN - 3D Object Classification Using 3D Grid Convolutional Neural Networks. PReMI (1) 2019: 269-276 - [c27]V. Vineeth Kumar, Shanthika Naik, Polisetty L. Sarvani, Shreya M. Pattanshetti, Uma Mudenagudi, Meena Maralappanavar, Priyadarshini M. Patil, Ramesh Ashok Tabib, Basavaraja S. Vandrotti:
Multiple Object Detection in 360° Videos for Robust Tracking. PReMI (2) 2019: 499-506 - [c26]Ramesh Ashok Tabib, Abhay Kagalkar, Abhijeet Ganapule, Ujwala Patil, Uma Mudenagudi:
Learning Based Image Selection for 3D Reconstruction of Heritage Sites. PReMI (1) 2019: 499-506 - [c25]Vishwanath S. Teggihalli, Ramesh Ashok Tabib, Adarsh Jamadandi, Uma Mudenagudi:
A Polynomial Surface Fit Algorithm for Filling Holes in Point Cloud Data. PReMI (1) 2019: 515-522 - 2018
- [c24]Adarsh Jamadandi, Sunidhi Kotturshettar, Uma Mudenagudi:
PredGAN: a deep multi-scale video prediction framework for detecting anomalies in videos. ICVGIP 2018: 1:1-1:8 - [c23]Shankar Setty, Sindhu B. Hegde, Supriya Satyappanavar, Uma Mudenagudi:
Evaluation of Point Cloud Categorization for Rigid and Non-Rigid 3D Objects. ICVGIP 2018: 60:1-60:9 - 2016
- [c22]Himanshu Shekhar, Shankar Setty, Uma Mudenagudi:
Vehicular traffic analysis from social media data. ICACCI 2016: 1628-1634 - [c21]Shweta Maralappanavar, ReenaKumari Behera, Uma Mudenagudi:
Driver's distraction detection based on gaze estimation. ICACCI 2016: 2489-2494 - [c20]Shankar Setty, Himanshu Shekhar, Uma Mudenagudi:
Region of interest (ROI) based 3D inpainting. SIGGRAPH Asia Posters 2016: 33 - 2015
- [c19]Kiran Patil, D. G. Narayan, Uma Mudenagudi, Jyoti Amboji:
Cross layer routing and rate adaptation for video transmission in multi-radio Wireless Mesh Networks. ICACCI 2015: 2139-2144 - [c18]Sujatha C, Uma Mudenagudi:
Gaussian Mixture Model for summarization of surveillance videos. NCVPRIPG 2015: 1-4 - [c17]Shankar Setty, Syed Altaf Ganihar, Uma Mudenagudi:
Framework for 3D object hole filling. NCVPRIPG 2015: 1-4 - 2014
- [c16]Syed Altaf Ganihar, Shreyas Joshi, Shankar Setty, Uma Mudenagudi:
Metric Tensor and Christoffel Symbols Based 3D Object Categorization. ACCV Workshops (3) 2014: 138-151 - [c15]Sujay Babruwad, Rahul Avaghan, Uma Mudenagudi:
A Mobile Augmented Reality Framework for Post-stroke Patient Rehabilitation. ACCV Workshops (3) 2014: 396-406 - [c14]Uma Mudenagudi, Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, G. Rahul, Somashekhar Dhotrad, Meera Natampally, Prem Kumar Kalra:
Realistic Walkthrough of Cultural Heritage Sites-Hampi. ACCV Workshops (2) 2014: 554-566 - [c13]Shankar Shetty, Rajendra Jadi, Sabya Shaikh, Chandan Mattikalli, Uma Mudenagudi:
Classification of facebook news feeds and sentiment analysis. ICACCI 2014: 18-23 - [c12]Syed Altaf Ganihar, Shreyas Joshi, Shankar Setty, Uma Mudenagudi:
3D Object Super Resolution using Metric Tensor and Christoffel Symbols. ICVGIP 2014: 87:1-87:8 - [c11]Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi:
3D object decomposition and super resolution. SIGGRAPH ASIA Posters 2014: 5 - [c10]Syed Altaf Ganihar, Shreyas Joshi, Shankar Shetty, Uma Mudenagudi:
Metric tensor and Christoffel symbols based 3D object categorization. SIGGRAPH Posters 2014: 38:1 - 2013
- [c9]D. G. Narayan, Pavan Gandmali, Uma Mudenagudi:
A novel cross layer routing and interface assignment in Multi-Radio Wireless Mesh Network. ICACCI 2013: 620-625 - [c8]Sujatha C, Akshay Ravindra Chivate, Sayed Altaf Ganihar, Uma Mudenagudi:
Time driven video summarization using GMM. NCVPRIPG 2013: 1-4 - [c7]Lalitha M, Harsh Holalad, Siddharth Rajput, Muktanidhi S. D, Uma Mudenagudi:
A classifier framework for the detection of doctored images. NCVPRIPG 2013: 1-4 - [c6]Ramesh Ashok Tabib, Ujwala Patil, Syed Altaf Ganihar, Neeta Trivedi, Uma Mudenagudi:
Decision fusion for robust horizon estimation using Dempster Shafer Combination Rule. NCVPRIPG 2013: 1-4 - 2012
- [c5]U. Ananya, S. D. Muktanidhi, Uma Mudenagudi:
Detection of doctored images using correlations of PSF. ICVGIP 2012: 56 - 2008
- [c4]Uma Mudenagudi, Subhashis Banerjee, Prem Kalra:
On Improving Space-Time Super Resolution Using a Small Set of Video Inputs. ICVGIP 2008: 320-327 - 2007
- [c3]Uma Mudenagudi, Ankit Gupta, Lakshya Goel, Avanish Kushal, Prem Kalra, Subhashis Banerjee:
Super Resolution of Images of 3D Scenecs. ACCV (2) 2007: 85-95 - 2006
- [c2]Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subhashis Banerjee:
Super Resolution Using Graph-Cut. ACCV (2) 2006: 385-394 - 1999
- [c1]Uma Mudenagudi, Subhasis Chaudhuri:
Depth Estimation using Defocused Stereo Image Pairs. ICCV 1999: 483-488
Informal and Other Publications
- 2024
- [i6]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:
NTIRE 2024 Challenge on Image Super-Resolution (⨉4): Methods and Results. CoRR abs/2404.09790 (2024) - [i5]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:
NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. CoRR abs/2404.14248 (2024) - 2023
- [i4]Shivanand Kundargi, Tejas Anvekar, Ramesh Ashok Tabib, Uma Mudenagudi:
PointCLIMB: An Exemplar-Free Point Cloud Class Incremental Benchmark. CoRR abs/2304.06775 (2023) - 2021
- [i3]Akshaykumar Gunari, Shashidhar Veerappa Kudari, Sukanya Nadagadalli, Keerthi Goudnaik, Ramesh Ashok Tabib, Uma Mudenagudi, Adarsh Jamadandi:
Deep Visual Attention-Based Transfer Clustering. CoRR abs/2107.02415 (2021) - [i2]Shashidhar Veerappa Kudari, Akshaykumar Gunari, Adarsh Jamadandi, Ramesh Ashok Tabib, Uma Mudenagudi:
Augmented Data as an Auxiliary Plug-in Towards Categorization of Crowdsourced Heritage Data. CoRR abs/2107.03852 (2021) - [i1]Siddharth Katageri, Shashidhar Veerappa Kudari, Akshaykumar Gunari, Ramesh Ashok Tabib, Uma Mudenagudi:
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition. CoRR abs/2108.04221 (2021)
Coauthor Index
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