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A Light Weight Convolutional Neural Network for Single Image Super-Resolution

Kalpesh Prajapati, Vishal Chudasama, Kishor Upla
2020 Procedia Computer Science  
In case of Fig. 3 (b), the LWSRNet obtains better SSIM value than that of MSRN [12] , proSR s [19] and SRFeat M [15] methods.  ...  Moreover, the proposed LWSRNet model obtains such performance with a significantly less number of training parameters than that of CARN [2] , proSR s [19] and SRFeat M models.  ... 
doi:10.1016/j.procs.2020.04.015 fatcat:2bqfg2ra2vhljmk2yygsd4wanq

Deteksi Pemakaian Helm Proyek Dengan Metode Convolutional Neural Network

Bambang Widodo, Hendrawan Armanto Armanto, Endang Setyati
2021 Journal of Intelligent System and Computation  
Misraa, Meenu Agarwal, Ayushi Vyas, Vishal M. Chudasama dan Kishor P.  ... 
doi:10.52985/insyst.v3i1.157 fatcat:326wsvunefc7jn5y52dhnqkkpa

INCET 2020Conference Main Schedule

2020 2020 International Conference for Emerging Technology (INCET)  
Mahantesh Elemmi ( 99165 42252) 2 56 Meghal Darji, Jaivik Dave, Nadim Asif, Chirag Godawat, Vishal Chudasama and Kishor Upla Licence Plate Identification and Recognition for Non-Helmeted Motorcyclists  ...  M V Mahendrakar (98862 71783) 2 459 Divyaang Agarwal, Vishrut Gupta, Divyansh Jaiswal and A.K.  ... 
doi:10.1109/incet49848.2020.9154153 fatcat:r5cis27hrvhanig7zoe2dom37a

Dopamine receptor signaling in the medial orbital frontal cortex and the acquisition and expression of fructose-conditioned flavor preferences in rats

Danielle C. Malkusz, Ira Yenko, Francis M. Rotella, Theodore Banakos, Kerstin Olsson, Trisha Dindyal, Vishal Vig, Richard J. Bodnar
2015 Brain Research  
., 2009) , whereas destruction of the mPFC and MFC differentially altered perseverative and premature responses to stimuli (Chudasama et al., 2003) .  ...  Coronal 40-µm sections, stained with Cresyl violet, were examined with light microscopy by an observer unfamiliar with the behavioral data; all animals with confirmed appropriate bilateral cannulae placements  ... 
doi:10.1016/j.brainres.2014.11.028 pmid:25446441 pmcid:PMC4388031 fatcat:wxile3wcijhltgvmyur2ojn55e

Author Index

2014 Bulletin of Materials Science  
electrical resistivity in La 0⋅875 Sr 0⋅125 MnO 3 manganite nano- structures 1095 Choudhary S see Parida S K 1569 Choukchou-Braham A see Bellifa A 669 Chowdhury Devasish see Nath Bhabesh Kumar 1613 Chudasama  ...  Gadhikar Aniruddha A 315 Sharma Ekta see Sakalle Umesh Kumar 1339 Sharma Manoj see Kaur Jagdeep 931 Sharma P K see Singh Dharmendra Pratap 511 Sharma Prachi see Verma Vivek 855 Sharma Vishal  ... 
doi:10.1007/s12034-014-0788-5 fatcat:6pn4qqgnyrfyvojgpldyl7zwoe

M2FNet: Multi-modal Fusion Network for Emotion Recognition in Conversation [article]

Vishal Chudasama, Purbayan Kar, Ashish Gudmalwar, Nirmesh Shah, Pankaj Wasnik, Naoyuki Onoe
2022 arXiv   pre-print
F i f usionm = Φ m (...  ...  AM + m dissim AM m sim AM = 1 + 2 e 4•D a,p s m dissim AM = 1 + 2 e −4•D a,n s +4 (11) In addition, we also utilize the variance loss function proposed by Bardes et al  ... 
arXiv:2206.02187v1 fatcat:gnywghmmgrbthegld3sejjwgbi

NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results [article]

Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, SeYoung Chun, Wei Deng, Mostafa El-Khamy (+34 others)
2020 arXiv   pre-print
. , m}, (1) where I D denotes the downsampled image, and k i refers to the specific blur kernel.  ...  , Chudasama, Sardar Vallabhbhai National Institute Of Technology, Surat Kishor, Upla, Norwegian University of Science and Technology, Gjøvik, Norway Raghavendra, Ramachandra, Norwegian University of Science  ... 
arXiv:2005.01996v1 fatcat:ewngd7chdve3fbvwis32v64ruq

A Critical Review of Generative Adversarial Networks based on Stability Criteria

Vishal Chudasama, Kishor Upla
unpublished
The convergence measure M global of the BEGAN model which correlates well with image fidelity. Here, model converges quickly.  ...  David et al. also introduce a convergence measure M which is an indicator to measure network's performance. It is also used to control learning rate.  ... 
fatcat:bonvjglx3bcg5mzeeokxftw264

Cardiac Function and Heart Failure

2008 Journal of the American College of Cardiology  
Results: Patients showed increased PWV (7.4±2.9 vs 4.9±1.3 m/s, p<0.001) compared to controls.  ...  Patients with advanced LV (restrictive or pseudonormal filling pattern) diastolic dysfunction showed increased PWV (8.6±2.5 vs 6.5± 2.9 m/s, p=0.008) compared to those with mild diastolic dysfunction .  ...  Starling, Dennis M.  ... 
doi:10.1016/j.jacc.2008.02.004 fatcat:oqh4zi47xvh4hdielnxkyqu2eu