Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Ujwala Patil"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW).
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Autor:
Egor Ershov, Alex Savchik, Denis Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Ling-Hao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Ozcan, Furkan Kirac, 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
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
This paper reviews the NTIRE 2022 challenge on night photography rendering. The challenge solicited solutions that processed RAW camera images captured in night scenes to produce a photo-finished output image encoded in the standard RGB (sRGB) space.
Publikováno v:
2022 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET).
Autor:
Chaitra Desia, Ujwala Patil, Dikshit D Hegde, T. Santoshkumar, Srikar H I, Mutturaj Harage, Uma Mudenagudi, Ramesh Ashok Tabib
Publikováno v:
Procedia Computer Science. 171:483-490
In this paper, we propose a framework to categorize heritage site images based on unsupervised clustering for 3D reconstruction. Modeling a generalized classification model for crowdsourced data is challenging as the data is invariant and high dimens
Publikováno v:
Procedia Computer Science. 172:181-186
In this paper we share our experience with curriculum delivery through industry institute collaborative domain specific theme based projects. We had floated the theme based projects and industry floated projects during their 5th and 6th semester resp
Autor:
Swathi Tegginkeri, Chaitra Desai, Kiran Gani, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi, Yashaswini V. Jadhav
Publikováno v:
Procedia Computer Science. 171:475-482
In this paper, we propose a learning-based approach for automatic detection of hole boundary points in a 3D point cloud. Point cloud is an important geometric data structure used in 3D modelling. Data obtained from automatic acquisition techniques of
Publikováno v:
Procedia Computer Science. 171:491-497
In this paper, we propose a framework for enhancement of underwater images. Underwater images suffer from low-contrast, blur and non-uniform illumination resulting in poor quality images. Red color in the atmospheric light is absorbed early due to it
Autor:
Deepti Hegde, Ramesh Ashok Tabib, Prabin Kumar Bora, Chaitra Desai, Uma Mudenagudi, Ujwala Patil
Publikováno v:
Procedia Computer Science. 171:52-61
Underwater images suffer from haze, blue/green tint, and color distortion, caused by attenuation and scattering of light. Existing methods for restoration depend on transmission maps to inverse the effects based on the underwater image formation mode
Publikováno v:
Procedia Computer Science. 172:324-330
The paper proposes a framework to redesign a course as an integrated course through experiential learning. Initially the courses were designed for class room lecturing and evaluated through written examinations. It is observed that engineering studen