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ORCIDSunil Prasad Jaiswal
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2020 – today
- 2024
[c29]Pierluigi Zama Ramirez, Fabio Tosi, Luigi Di Stefano, Radu Timofte, Alex Costanzino, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Yangyang Zhang, Cailin Wu, Zhuangda He, Shuangshuang Yin, Jiaxu Dong, Yangchenxu Liu, Hao Jiang, Jun Shi, Yong A, Yixiang Jin, Dingzhe Li, Bingxin Ke, Anton Obukhov, Tinafu Wang, Nando Metzger, Shengyu Huang, Konrad Schindler, Yachuan Huang, Jiaqi Li, Junrui Zhang, Yiran Wang, Zihao Huang, Tianqi Liu, Zhiguo Cao, Pengzhi Li, Jui-Lin Wang, Wenjie Zhu, Hui Geng, Yuxin Zhang, Long Lan, Kele Xu, Tao Sun, Qisheng Xu, Sourav Saini, Aashray Gupta, Sahaj K. Mistry, Aryan Shukla, Vinit Jakhetiya, Sunil Prasad Jaiswal, Yuejin Sun, Zhuofan Zheng, Yi Ning, Jen-Hao Cheng, Hou-I Liu, Hsiang-Wei Huang, Cheng-Yen Yang, Zhongyu Jiang, Yi-Hao Peng, Aishi Huang, Jenq-Neng Hwang:
NTIRE 2024 Challenge on HR Depth from Images of Specular and Transparent Surfaces. CVPR Workshops 2024: 6499-6512- 2023
- [j6]Sadbhawna Thakur
, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Leida Li, Weisi Lin:
Context Region Identification Based Quality Assessment of 3D Synthesized Views. IEEE Trans. Multim. 25: 6183-6193 (2023) - [c28]Aakash Rajpal, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Sunil Prasad Jaiswal:
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation. CVPR Workshops 2023: 1188-1198 - [c27]Mehran Jeelani, Sadbhawna, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Sunil Prasad Jaiswal:
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution. CVPR Workshops 2023: 1199-1208 - [c26]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c25]Faranak Shamsafar, Sunil Prasad Jaiswal, Benjamin Kelkel, Kireeti Bodduna, Klaus Illgner-Fehns:
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case. CVPR Workshops 2023: 4464-4471 - [c24]Sahaj Mistry, Shreyas Chatterjee, Ajeet Kumar Verma, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal:
Drone-vs-Bird: Drone Detection Using YOLOv7 with CSRT Tracker. ICASSP 2023: 1-2 - [c23]Arpita Nema, Vinit Jakhetiya, Sunil Prasad Jaiswal, Badri N. Subudhi, Sharath Chandra Guntuku:
Measuring Underwater Image Quality with Depthwise-Separable Convolutions and Global-Sparse Attention. MMSP 2023: 1-6 - [i4]Faranak Shamsafar, Sunil Prasad Jaiswal, Benjamin Kelkel, Kireeti Bodduna, Klaus Illgner-Fehns:
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case. CoRR abs/2304.08111 (2023) - [i3]Aakash Rajpal, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Sunil Prasad Jaiswal:
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation. CoRR abs/2305.01732 (2023) - [i2]Elena Kosheleva, Sunil Prasad Jaiswal, Faranak Shamsafar, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek:
Edge-aware Consistent Stereo Video Depth Estimation. CoRR abs/2305.02645 (2023) - [i1]Mehran Jeelani, Sadbhawna, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Sunil Prasad Jaiswal:
Expanding Synthetic Real-World Degradations for Blind Video Super Resolution. CoRR abs/2305.02660 (2023) - 2021
- [j5]Vinit Jakhetiya, Ke Gu, Sunil Prasad Jaiswal, Trisha Singhal, Zhifang Xia:
Kernel-Ridge Regression-Based Quality Measure and Enhancement of Three-Dimensional-Synthesized Images. IEEE Trans. Ind. Electron. 68(1): 423-433 (2021) - [c22]Samim Zahoor Taray, Sunil Prasad Jaiswal, Shivam Sharma, Noshaba Cheema, Klaus Illgner-Fehns, Philipp Slusallek, Ivo Ihrke:
A Comparative Study of PnP and Learning Approaches to Super-Resolution in a Real-World Setting. GCPR 2021: 313-327 - 2020
- [c21]Sadbhawna, Vinit Jakhetiya, Deebha Mumtaz, Sunil Prasad Jaiswal:
Distortion Specific Contrast Based No-Reference Quality Assessment of DIBR-Synthesized Views. MMSP 2020: 1-5
2010 – 2019
- 2019
- [c20]Sunil Prasad Jaiswal, Vinit Jakhetiya, Ke Gu, Sharath Chandra Guntuku, Ashutosh Singla:
Frequency-Domain Analysis Based Exploitation Of Color Channels For Color Image Demosaicking. VCIP 2019: 1-4 - 2018
- [j4]Vinit Jakhetiya, Weisi Lin, Sunil Prasad Jaiswal, Ke Gu, Sharath Chandra Guntuku:
Just Noticeable Difference for natural images using RMS contrast and feed-back mechanism. Neurocomputing 275: 366-376 (2018) - [j3]Vinit Jakhetiya, Ke Gu, Weisi Lin, Qiaohong Li, Sunil Prasad Jaiswal:
A Prediction Backed Model for Quality Assessment of Screen Content and 3-D Synthesized Images. IEEE Trans. Ind. Informatics 14(2): 652-660 (2018) - 2017
- [j2]Sunil Prasad Jaiswal, Lu Fang, Vinit Jakhetiya, Jiahao Pang, Klaus Mueller, Oscar C. Au:
Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation. IEEE Trans. Image Process. 26(2): 953-968 (2017) - [j1]Vinit Jakhetiya, Weisi Lin, Sunil Prasad Jaiswal, Sharath Chandra Guntuku, Oscar C. Au:
Maximum a Posterior and Perceptually Motivated Reconstruction Algorithm: A Generic Framework. IEEE Trans. Multim. 19(1): 93-106 (2017) - [c19]Manohar Kuse, Sunil Prasad Jaiswal, Shaojie Shen:
Deep-mapnets : A residual network for 3D environment representation. ICIP 2017: 2652-2656 - 2016
- [c18]Sunil Prasad Jaiswal, Lu Fang, Vinit Jakhetiya, Manohar Kuse, Oscar C. Au:
Optimized high-frequency based interpolation for multispectral demosaicking. ICIP 2016: 2851-2855 - 2015
- [c17]Vinit Jakhetiya, Weisi Lin, Sunil Prasad Jaiswal, Anil Kumar Tiwari, Sharath Chandra Guntuku:
Observation model based perceptually motivated bilateral filter for image reconstruction. DSP 2015: 201-205 - [c16]Manohar Kuse, Sunil Prasad Jaiswal:
Graph modelling of 3D geometric information for color consistency of multiview images. ICIP 2015: 1394-1398 - [c15]Amin Zheng, Yuan Yuan, Sunil Prasad Jaiswal, Oscar C. Au:
Motion estimation via hierarchical block matching and graph cut. ICIP 2015: 4371-4375 - 2014
- [c14]Haiyan Yang, Oscar C. Au, Jin Zeng, Mengqi Ji, Yuan Yuan, Sunil Prasad Jaiswal:
A comprehensive study on digital image matting. ChinaSIP 2014: 286-290 - [c13]Vinit Jakhetiya, Oscar C. Au, Sunil Prasad Jaiswal, Luheng Jia, Hong Zhang:
Fast and efficient intra-frame deinterlacing using observation model based bilateral filter. ICASSP 2014: 5819-5823 - [c12]Sunil Prasad Jaiswal, Oscar C. Au, Vinit Jakhetiya, Yuan Yuan, Haiyan Yang:
Exploitation of inter-color correlation for color image demosaicking. ICIP 2014: 1812-1816 - [c11]Vinit Jakhetiya, Oscar C. Au, Sunil Prasad Jaiswal, Luheng Jia, Gaurav Mittal:
Symmetrical predictor structure based integrated lossy, near lossless/lossless coding of images. ISCAS 2014: 2293-2296 - [c10]Vinit Jakhetiya, Oscar C. Au, Sunil Prasad Jaiswal, Luheng Jia, Manohar Kuse:
Lossless/near lossless compression using bilateral filter and symmetrical structure based bias cancellation. ISCCSP 2014: 77-80 - [c9]Sunil Prasad Jaiswal, Oscar C. Au, Vinit Jakhetiya, Andy Yuanfang Guo, Anil Kumar Tiwari:
Adaptive Predictor Structure Based Interpolation for Reversible Data Hiding. IWDW 2014: 276-288 - 2013
- [c8]Sunil Prasad Jaiswal, Oscar C. Au, Vinit Jakhetiya, Yuanfang Guo, Anil Kumar Tiwari, Yue Kong:
Efficient adaptive prediction based reversible image watermarking. ICIP 2013: 4540-4544 - [c7]Sunil Prasad Jaiswal, Oscar C. Au, Juhi Bhadviya, Vinit Jakhetiya, Yuan Yuan, Anil Kumar Tiwari:
An efficient two phase image interpolation algorithm based upon error feedback mechanism. SiPS 2013: 251-255 - 2012
- [c6]Juhi Bhadviya, Sunil Prasad Jaiswal, Vinit Jakhetiya, Anil Kumar Tiwari:
Exploitation of temporal redundancy for lossless video coding. APCCAS 2012: 663-666 - [c5]Ashutosh Singla, Jaya Shukla, Anil Kumar Tiwari, Sunil Prasad Jaiswal, Vinit Jakhetiya:
Adaptive Predictor Structures for Lossless Compression of Videos. DCC 2012: 410 - [c4]Vinit Jakhetiya, Sunil Prasad Jaiswal, Anil Kumar Tiwari, Oscar C. Au:
Interpolation based symmetrical predictor structure for lossless image coding. ISCAS 2012: 2913-2916 - [c3]Gaurav Mittal, Vinit Jakhetiya, Sunil Prasad Jaiswal, Oscar C. Au, Anil Kumar Tiwari, Dai Wei:
Bit-depth expansion using Minimum Risk Based Classification. VCIP 2012: 1-5 - 2011
- [c2]Sunil Prasad Jaiswal, Vinit Jakhetiya, Anil Kumar Tiwari:
An efficient image interpolation algorithm based upon the switching and self learned characteristics for natural images. ISCAS 2011: 861-864 - 2010
- [c1]Vinit Jakhetiya, Sunil Prasad Jaiswal, Anil Kumar Tiwari:
A novel predictor coefficient interpolation algorithm for enhancement of spatial resolution of images. APCCAS 2010: 140-143
Coauthor Index
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last updated on 2024-11-06 20:28 CET by the dblp team
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