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Rakesh Ranjan
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2020 – today
- 2024
- [j27]Rahul Priyadarshi, Rakesh Ranjan, Anish Kumar Vishwakarma, Tiansheng Yang, Rajkumar Singh Rathore:
Exploring the Frontiers of Unsupervised Learning Techniques for Diagnosis of Cardiovascular Disorder: A Systematic Review. IEEE Access 12: 139253-139272 (2024) - [j26]Rakesh Ranjan, Basavaraj R. Amogi, Abhilash K. Chandel, Lav R. Khot, Bernardita V. Sallato, R. Troy Peters:
Efficacy evaluation of apple sunburn mitigation techniques in WA 38 cultivar using crop physiology sensing system. Comput. Electron. Agric. 216: 108501 (2024) - [j25]Naseeb Singh, Virendra Kumar Tewari, Prabir Kumar Biswas, Laxmi Kant Dhruw, Rakesh Ranjan, Abhishek Ranjan:
Optimizing cotton-picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm-assisted artificial neural network. J. Field Robotics 41(7): 2322-2342 (2024) - [j24]Divya Jain, Rakesh Ranjan, Archana Sharma, Sanjaeev Narayan Sharma, Alok Jain:
Fast and accurate ECG signal peaks detection using symbolic aggregate approximation. Multim. Tools Appl. 83(30): 75033-75059 (2024) - [j23]Sullivan R. Steele, Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good:
Computer-Simulated Virtual Image Datasets to Train Machine Learning Models for Non-Invasive Fish Detection in Recirculating Aquaculture. Sensors 24(17): 5816 (2024) - [j22]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. IEEE Trans. Image Process. 33: 2171-2182 (2024) - [c45]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CVPR Workshops 2024: 7750-7760 - [c44]Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CVPR 2024: 8565-8575 - [c43]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR 2024: 9037-9047 - [c42]Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram, Yuchen Fan, Christian Richardt, Ramesh Raskar, Rakesh Ranjan:
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar. CVPR 2024: 14565-14574 - [c41]Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx:
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CVPR 2024: 19027-19037 - [c40]Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari:
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. ECCV (30) 2024: 19-37 - [c39]Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Model. ECCV (44) 2024: 56-74 - [c38]Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan:
MVDiffusion++: A Dense High-Resolution Multi-view Diffusion Model for Single or Sparse-View 3D Object Reconstruction. ECCV (16) 2024: 175-191 - [c37]Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Björn Ommer:
WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians. ECCV (21) 2024: 298-314 - [c36]Rakesh Ranjan, Pavitra R. Perepa, Ki-Don Lee, Ashish Kumar Jha, Kartika C. Sahoo, Kayla N. Sanders, Robert Moeller, Prateek Sharma, Minhyo Kang, Peter Kim, Kwanjae Song, Yongwoo Jeon, Seungho Kim, Hyewon Shim, Shin-Young Chung, Ju Kwang Kim:
A Systematic Study of HCI Improvement in FinFET with Source/Drain Implant and Geometry Modulation. IRPS 2024: 5 - [c35]Rakesh Ranjan, Anibrata Bhattacharya, Himanshu B. Mishra, Samrat Mukhopadhyay:
A Low-Complexity Phase Shift Optimization to Achieve Security in IRS-Assisted MISO Systems. NCC 2024: 1-6 - [c34]Manoranjan Prasad, Santanu Kundu, Lennart Renker, Rakesh Ranjan:
Unlocking the Power of Machine Learning for Faster PCB Package and Board PDN Convergence. VLSID 2024: 287-292 - [i31]Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR abs/2401.00604 (2024) - [i30]Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra:
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR abs/2401.00909 (2024) - [i29]Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos, Sungjoo Yoo, Alexander Sorkine-Hornung, Rakesh Ranjan:
Geometry Transfer for Stylizing Radiance Fields. CoRR abs/2402.00863 (2024) - [i28]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Nicu Sebe:
Key-Graph Transformer for Image Restoration. CoRR abs/2402.02634 (2024) - [i27]Shitao Tang, Jiacheng Chen, Dilin Wang, Chengzhou Tang, Fuyang Zhang, Yuchen Fan, Vikas Chandra, Yasutaka Furukawa, Rakesh Ranjan:
MVDiffusion++: A Dense High-resolution Multi-view Diffusion Model for Single or Sparse-view 3D Object Reconstruction. CoRR abs/2402.12712 (2024) - [i26]Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu, Rakesh Ranjan, Radu Timofte:
Towards Image Ambient Lighting Normalization. CoRR abs/2403.18730 (2024) - [i25]Nikolaos Sarafianos, Tuur Stuyck, Xiaoyu Xiang, Yilei Li, Jovan Popovic, Rakesh Ranjan:
Garment3DGen: 3D Garment Stylization and Texture Generation. CoRR abs/2403.18816 (2024) - [i24]Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari:
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians. CoRR abs/2403.19495 (2024) - [i23]Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx:
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model. CoRR abs/2405.02608 (2024) - [i22]Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe:
Sharing Key Semantics in Transformer Makes Efficient Image Restoration. CoRR abs/2405.20008 (2024) - [i21]Mehmet Aygün, Prithviraj Dhar, Zhicheng Yan, Oisin Mac Aodha, Rakesh Ranjan:
Enhancing 2D Representation Learning with a 3D Prior. CoRR abs/2406.02535 (2024) - [i20]Marcos V. Conde, Florin-Alexandru Vasluianu, Jinhui Xiong, Wei Ye, Rakesh Ranjan, Radu Timofte:
Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. CoRR abs/2409.16277 (2024) - [i19]Aggelina Chatziagapi, Bindita Chaudhuri, Amit Kumar, Rakesh Ranjan, Dimitris Samaras, Nikolaos Sarafianos:
TalkinNeRF: Animatable Neural Fields for Full-Body Talking Humans. CoRR abs/2409.16666 (2024) - 2023
- [j21]Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good:
Effects of image data quality on a convolutional neural network trained in-tank fish detection model for recirculating aquaculture systems. Comput. Electron. Agric. 205: 107644 (2023) - [j20]Rakesh Ranjan, Anibrata Bhattacharya, Samrat Mukhopadhyay, Himanshu B. Mishra:
A Gradient Ascent Based Low Complexity Rate Maximization Algorithm for Intelligent Reflecting Surface-Aided OFDM Systems. IEEE Commun. Lett. 27(8): 2083-2087 (2023) - [j19]Rakesh Ranjan:
A novel fitted spline method for the numerical treatment of singularly perturbed differential equations having small delays. J. Appl. Math. Comput. 69(6): 4645-4664 (2023) - [j18]Rakesh Ranjan, Vinay Avasthi:
Edge Detection Using Guided Sobel Image Filtering. Wirel. Pers. Commun. 132(1): 651-677 (2023) - [c33]Yawei Li, Kai Zhang, Jingyun Liang, Jiezhang Cao, Ce Liu, Rui Gong, Yulun Zhang, Hao Tang, Yun Liu, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
LSDIR: A Large Scale Dataset for Image Restoration. CVPR Workshops 2023: 1775-1787 - [c32]Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan:
Consistent Direct Time-of-Flight Video Depth Super-Resolution. CVPR 2023: 5075-5085 - [c31]Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx:
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation. CVPR 2023: 5455-5465 - [c30]Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan:
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CVPR 2023: 6481-6491 - [c29]Ziyu Wan, Christian Richardt, Aljaz Bozic, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao:
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis. CVPR 2023: 8307-8316 - [c28]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CVPR 2023: 9445-9454 - [c27]Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CVPR 2023: 18278-18289 - [c26]Rakesh Kumar, Rakesh Ranjan, Digvijay Singh, Nagendar Yamsani:
Long Term Electricity Load Forecasting for Garhwal Region of Uttarakhand Using Artificial Neural Network. IC3I 2023: 955-959 - [c25]Rakesh Ranjan, Bikash Chandra Sahana:
Automated Alzheimer's Disease Diagnosis Using Norm Features Extracted from EEG Signals. ICCCNT 2023: 1-6 - [c24]Rakesh Ranjan, Pavitra Ramadevi Perepa, Ki-Don Lee, Hokyung Park, Peter Kim, Ganesh Chakravarthy Yerubandi, Jon Haefner, Caleb Dongkyun Kwon, Minjung Jin, Wenhao Zhou, Hyewon Shim, Shin-Young Chung:
Impact of Barrier Metal Thickness on SRAM Reliability. IRPS 2023: 1-6 - [c23]Manisha Sharma, Hokyung Park, Yinghong Zhao, Ki-Don Lee, Liangshan Chen, Joonah Yoon, Rakesh Ranjan, Caleb Dongkyan Kwon, Hyewon Shim, Myungsoo Yeo, Shin-Young Chung, Jon Haefner:
Polarity Dependency of MOL-TDDB in FinFET. IRPS 2023: 1-3 - [c22]Xiaoyu Xiang, Jon Morton, Fitsum A. Reda, Lucas D. Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan P. Allebach:
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. WACV 2023: 1694-1704 - [i18]Yawei Li, Yuchen Fan, Xiaoyu Xiang, Denis Demandolx, Rakesh Ranjan, Radu Timofte, Luc Van Gool:
Efficient and Explicit Modelling of Image Hierarchies for Image Restoration. CoRR abs/2303.00748 (2023) - [i17]Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx:
AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation. CoRR abs/2303.16493 (2023) - [i16]Ziyu Wan, Christian Richardt, Aljaz Bozic, Chao Li, Vijay Rengarajan, Seonghyeon Nam, Xiaoyu Xiang, Tuotuo Li, Bo Zhu, Rakesh Ranjan, Jing Liao:
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis. CoRR abs/2304.10537 (2023) - [i15]Xinyu Gong, Sreyas Mohan, Naina Dhingra, Jean-Charles Bazin, Yilei Li, Zhangyang Wang, Rakesh Ranjan:
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition. CoRR abs/2305.07214 (2023) - [i14]Tim Meinhardt, Matt Feiszli, Yuchen Fan, Laura Leal-Taixé, Rakesh Ranjan:
NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation. CoRR abs/2308.15266 (2023) - [i13]Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan:
MoVideo: Motion-Aware Video Generation with Diffusion Models. CoRR abs/2311.11325 (2023) - [i12]Lei Luo, Alexandre Chapiro, Xiaoyu Xiang, Yuchen Fan, Rakesh Ranjan, Rafal Mantiuk:
Training Neural Networks on RAW and HDR Images for Restoration Tasks. CoRR abs/2312.03640 (2023) - [i11]Tzofi Klinghoffer, Xiaoyu Xiang, Siddharth Somasundaram, Yuchen Fan, Christian Richardt, Ramesh Raskar, Rakesh Ranjan:
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar. CoRR abs/2312.14239 (2023) - 2022
- [j17]Amit Kumar Singh, Rakesh Ranjan:
Multi-slot-based dynamic clustering in cognitive radio network. Int. J. Commun. Syst. 35(16) (2022) - [j16]Rakesh Ranjan, Hari Shankar Prasad:
A novel exponentially fitted finite difference method for a class of 2nd order singularly perturbed boundary value problems with a simple turning point exhibiting twin boundary layers. J. Ambient Intell. Humaniz. Comput. 13(9): 4207-4221 (2022) - [j15]Ashwani Kumar, Vishnu Mohan Mishra, Rakesh Ranjan:
An improved control strategy using TCSC with grey wolf-optimized DSTATCOM for efficient LVRT of DFIG-based WECS. Simul. 98(11): 979-990 (2022) - [j14]Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari:
Motion Artifacts Suppression From EEG Signals Using an Adaptive Signal Denoising Method. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j13]Rakesh Ranjan, Bikash Chandra Sahana, Ashish Kumar Bhandari:
Cardiac Artifact Noise Removal From Sleep EEG Signals Using Hybrid Denoising Model. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j12]Amit Kumar Singh, Rakesh Ranjan:
Multi-Layer Perceptron Based Spectrum Prediction in Cognitive Radio Network. Wirel. Pers. Commun. 123(4): 3539-3553 (2022) - [c21]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CVPR 2022: 20186-20195 - [c20]Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan:
Learning Spatio-Temporal Downsampling for Effective Video Upscaling. ECCV (18) 2022: 162-181 - [c19]Yinghong Zhao, Ki-Don Lee, Manisha Sharma, Joonah Yoon, Rakesh Ranjan, Md Iqbal Mahmud, Caleb Dongkyan Kwon, Myungsoo Yeo:
Polarity Dependence and Metal Density Impact on Multi-Layer Inter-Level TDDB for High Voltage Application. IRPS 2022: 1-4 - [c18]Md Iqbal Mahmud, Rakesh Ranjan, Ki-Don Lee, Pavitra Ramadevi Perepa, Caleb Dongkyun Kwon, Seungjin Choo, Kihyun Choi:
Reverse Body Bias Dependence of HCI Reliability in Advanced FinFET. IRPS 2022: 58-1 - [c17]Rakesh Ranjan, Neeti, Bikash Chandra Sahana:
Automatic Detection of Mental Health Status using Alpha Subband of EEG Data. MeMeA 2022: 1-6 - [c16]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. NeurIPS 2022 - [c15]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network with Knowledge Distillation for Efficient Denoising. WACV (Workshops) 2022: 709-718 - [i10]Jingyun Liang, Jiezhang Cao, Yuchen Fan, Kai Zhang, Rakesh Ranjan, Yawei Li, Radu Timofte, Luc Van Gool:
VRT: A Video Restoration Transformer. CoRR abs/2201.12288 (2022) - [i9]Xiaoyu Xiang, Yapeng Tian, Vijay Rengarajan, Lucas D. Young, Bo Zhu, Rakesh Ranjan:
Learning Spatio-Temporal Downsampling for Effective Video Upscaling. CoRR abs/2203.08140 (2022) - [i8]Xiaoyu Xiang, Jon Morton, Fitsum A. Reda, Lucas D. Young, Federico Perazzi, Rakesh Ranjan, Amit Kumar, Andrea Colaco, Jan P. Allebach:
HIME: Efficient Headshot Image Super-Resolution with Multiple Exemplars. CoRR abs/2203.14863 (2022) - [i7]Jingyun Liang, Yuchen Fan, Xiaoyu Xiang, Rakesh Ranjan, Eddy Ilg, Simon Green, Jiezhang Cao, Kai Zhang, Radu Timofte, Luc Van Gool:
Recurrent Video Restoration Transformer with Guided Deformable Attention. CoRR abs/2206.02146 (2022) - [i6]Zhanghao Sun, Wei Ye, Jinhui Xiong, Gyeongmin Choe, Jialiang Wang, Shuochen Su, Rakesh Ranjan:
Consistent Direct Time-of-Flight Video Depth Super-Resolution. CoRR abs/2211.08658 (2022) - [i5]Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu:
Fast Point Cloud Generation with Straight Flows. CoRR abs/2212.01747 (2022) - [i4]Gyeongmin Choe, Beibei Du, Seonghyeon Nam, Xiaoyu Xiang, Bo Zhu, Rakesh Ranjan:
FSID: Fully Synthetic Image Denoising via Procedural Scene Generation. CoRR abs/2212.03961 (2022) - 2021
- [j11]Rakesh Ranjan, Hari Shankar Prasad:
A novel approach for the numerical approximation to the solution of singularly perturbed differential-difference equations with small shifts. J. Appl. Math. Comput. 65(1-2): 403-427 (2021) - [j10]Rakesh Ranjan, Rijji Sen, Satyanshu K. Upadhyay:
Bayes analysis of some important lifetime models using MCMC based approaches when the observations are left truncated and right censored. Reliab. Eng. Syst. Saf. 214: 107747 (2021) - [j9]Rajasoundaran Soundararajan, Sripathi Venkata Naga Santhosh Kumar, Munuswamy Selvi, Sannasi Ganapathy, Rakesh Ranjan, Arputharaj Kannan:
Machine learning based volatile block chain construction for secure routing in decentralized military sensor networks. Wirel. Networks 27(7): 4513-4534 (2021) - [c14]Rakesh Ranjan, Ki-Don Lee, Md Iqbal Mahmud, Mohammad Shahriar Rahman, Pavitra Ramadevi Perepa, Charles Briscoe LaRow, Caleb Dongkyun Kwon, Maihan Nguyen, Minhyo Kang, Ashish Kumar Jha, Ahmed Shariq, Shamas Musthafa Ummer, Susannah Laure Prater, Hyunchul Sagong, HwaSung Rhee:
Systematic Study of Process Impact on FinFET Reliability. IRPS 2021: 1-5 - [c13]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. ACM Multimedia 2021: 983-992 - [i3]Lucas D. Young, Fitsum A. Reda, Rakesh Ranjan, Jon Morton, Jun Hu, Yazhu Ling, Xiaoyu Xiang, David Liu, Vikas Chandra:
Feature-Align Network and Knowledge Distillation for Efficient Denoising. CoRR abs/2103.01524 (2021) - [i2]Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa:
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. CoRR abs/2112.11610 (2021) - 2020
- [j8]Rakesh Ranjan, Lav R. Khot, R. Troy Peters, Melba R. Salazar-Gutierrez, Guobin Shi:
In-field crop physiology sensing aided real-time apple fruit surface temperature monitoring for sunburn prediction. Comput. Electron. Agric. 175: 105558 (2020) - [j7]Bin Wang, Rakesh Ranjan, Lav R. Khot, R. Troy Peters:
Smartphone Application-Enabled Apple Fruit Surface Temperature Monitoring Tool for In-Field and Real-Time Sunburn Susceptibility Prediction. Sensors 20(3): 608 (2020) - [c12]Rakesh Ranjan, Charles B. LaRow, Ki-Don Lee, Minhyo Kang, Pavitra R. Perepa, Md. Shahriar Rahman, Bong Ki Lee, David Moreau, Carolyn Cariss-Daniels, Timothy Basford, Colby Callahan, Maihan Nguyen, Gil Heyun Choi, Hyunchul Sagong, HwaSung Rhee:
Trap Density Modulation for IO FinFET NBTI Improvement. IRPS 2020: 1-5 - [c11]Taiki Uemura, Byungjin Chung, Jeongmin Jo, Hai Jiang, Yongsung Ji, Tae-Young Jeong, Rakesh Ranjan, Seungbae Lee, Hwasung Rhee, Sangwoo Pae, Euncheol Lee, Jaehee Choi, Shota Ohnishi, Ken Machida:
Backside Alpha-Irradiation Test in Flip-Chip Package in EUV 7 nm FinFET SRAM. IRPS 2020: 1-4 - [c10]Taiki Uemura, Byungjin Chung, Jeongmin Jo, Hai Jiang, Yongsung Ji, Tae-Young Jeong, Rakesh Ranjan, Youngin Park, Kiil Hong, Seungbae Lee, Hwasung Rhee, Sangwoo Pae, Euncheol Lee, Jaehee Choi, Shota Ohnishi, Ken Machida:
Investigating of SER in 28 nm FDSOI-Planar and Comparing with SER in Bulk-FinFET. IRPS 2020: 1-5 - [i1]Sachin Mehta, Amit Kumar, Fitsum A. Reda, Varun Nasery, Vikram Mulukutla, Rakesh Ranjan, Vikas Chandra:
EVRNet: Efficient Video Restoration on Edge Devices. CoRR abs/2012.02228 (2020)
2010 – 2019
- 2019
- [j6]Rakesh Ranjan, Vastoshpati Shastri:
Posterior and predictive inferences for Marshall Olkin bivariate Weibull distribution via Markov chain Monte Carlo methods. Int. J. Syst. Assur. Eng. Manag. 10(6): 1535-1543 (2019) - [c9]Rakesh Ranjan, Bikash Chandra Sahana:
An Efficient Facial Feature Extraction Method Based Supervised Classification Model for Human Facial Emotion Identification. ISSPIT 2019: 1-6 - [c8]Umar Farooque, Dharmendra Kumar Singh, Rakesh Ranjan:
Dispersion Behavior of Fundamental Supermodes in Homogeneous Strongly Coupled Multicore Optical Fibers for Different Core Counts and Layouts. TENCON 2019: 1186-1190 - 2018
- [j5]Rakesh Ranjan, Rajeev Arya, Steven Lawrence Fernandes, Erukonda Sravya, Vinay Jain:
A fuzzy neural network approach for automatic K-complex detection in sleep EEG signal. Pattern Recognit. Lett. 115: 74-83 (2018) - [c7]P. Srinivasan, Rakesh Ranjan, S. Cimino, A. Zainuddin, B. Kannan, L. Pantisano, I. Mahmud, G. Dilliway, Tanya Nigam:
Understanding gate metal work function (mWF) impact on device reliability - A holistic approach. IRPS 2018: 6 - 2017
- [j4]Rijji Sen, Rakesh Ranjan, Satyanshu K. Upadhyay:
A simple Bayes analysis of Weibull Based Accelerated Test model. Int. J. Syst. Assur. Eng. Manag. 8(1s): 505-511 (2017) - [j3]Rakesh Ranjan, Debjani Mitra:
GA Optimized HMM Error Model for OFDM. Wirel. Pers. Commun. 96(1): 621-633 (2017) - [c6]Tanya Nigam, Andreas Kerber, Tian Shen, Rakesh Ranjan, Linjun Cao:
Material and device innovation impact on reliability for scaled CMOS technologies. ESSDERC 2017: 134-139 - 2016
- [j2]Rakesh Ranjan, Satyanshu K. Upadhyay:
Classical and Bayesian Estimation for the Parameters of a Competing Risk Model Based on Minimum of Exponential and Gamma Failures. IEEE Trans. Reliab. 65(3): 1522-1535 (2016) - [c5]Nishchal K. Verma, Teena Sharma, Shreedharkumar D. Rajurkar, Rakesh Ranjan, Al Salour:
Vision based counting of texture-less objects using shape and color features. ICIIS 2016: 253-258 - 2015
- [j1]Rakesh Ranjan, Sonam Singh, Satyanshu K. Upadhyay:
A Bayes analysis of a competing risk model based on gamma and exponential failures. Reliab. Eng. Syst. Saf. 144: 35-44 (2015) - [c4]Yoann Mamy Randriamihaja, William McMahon, S. Balasubramanian, Tanya Nigam, Biju Parameshwaran, Randy W. Mann, Torsten Klick, T. Schaefer, A. Kumar, Y. Song, Vivek Joshi, Rakesh Ranjan, F. Chen:
Assessing intrinsic and extrinsic end-of-life risk using functional SRAM wafer level testing. IRPS 2015: 6 - [c3]Akshat Verma, Sharat Singh, Shubham Srivastava, Sunil Kumar, Rakesh Ranjan, Zafar Ansari:
DynaCorrect: Dynamically Correcting Cache for Non-cooperative Systems. Middleware Industry 2015: 3:1-3:7 - 2011
- [c2]Rakesh Ranjan, Fernando Latorre, Pedro Marcuello, Antonio González:
Fg-STP: Fine-Grain Single Thread Partitioning on Multicores. HPCA 2011: 15-24
2000 – 2009
- 2009
- [c1]Rakesh Ranjan, Pedro Marcuello, Fernando Latorre, Antonio González:
P-slice based efficient speculative multithreading. HiPC 2009: 119-128
Coauthor Index
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Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-15 19:33 CET by the dblp team
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