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2020 – today
- 2024
[j26]Amit Chougule
, Agneya Bhardwaj, Vinay Chamola, Pratik Narang:
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing. Cogn. Comput. 16(2): 788-801 (2024)- [j25]Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang:
A Universal Metric for Robust Evaluation of Synthetic Tabular Data. IEEE Trans. Artif. Intell. 5(1): 300-309 (2024) - [j24]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Vinay Chamola:
Understanding the Use and Abuse of Social Media: Generalized Fake News Detection With a Multichannel Deep Neural Network. IEEE Trans. Comput. Soc. Syst. 11(4): 4878-4887 (2024) - [j23]Devika S, Rishi Rakesh Shrivastava, Pratik Narang, Tejasvi Alladi, F. Richard Yu:
VADGAN: An Unsupervised GAN Framework for Enhanced Anomaly Detection in Connected and Autonomous Vehicles. IEEE Trans. Veh. Technol. 73(9): 12458-12467 (2024) - [c23]Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang:
FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract). AAAI 2024: 23633-23634 - [c22]Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang:
Balancing the Scales: Enhancing Fairness in Facial Emotion Recognition with Latent Alignment. ICPR (15) 2024: 113-128 - [i10]Dwij Mehta, Aditya Mehta, Pratik Narang:
LDFaceNet: Latent Diffusion-based Network for High-Fidelity Deepfake Generation. CoRR abs/2408.02078 (2024) - [i9]Syed Sameen Ahmad Rizvi, Aryan Seth, Pratik Narang:
Balancing the Scales: Enhancing Fairness in Facial Expression Recognition with Latent Alignment. CoRR abs/2410.19444 (2024) - 2023
- [j22]Honnesh Rohmetra, Navaneeth Raghunath, Pratik Narang, Vinay Chamola, Mohsen Guizani, Naga Rajiv Lakkaniga:
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges. Computing 105(4): 783-809 (2023) - [c21]Esha Pahwa, Achleshwar Luthra, Pratik Narang:
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract). AAAI 2023: 16294-16295 - [c20]Syed Sameen Ahmad Rizvi, Preyansh Agrawal, Jagat Sesh Challa, Pratik Narang:
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset. ICAART (3) 2023: 550-557 - [c19]Prachi Agrawal, Anant Verma, Pratik Narang:
Drone Surveillance in Extreme Low Visibility Conditions. ICAART (3) 2023: 658-664 - [c18]Chaitanya Kapoor, Aadith Warrier, Mohit Singh, Pratik Narang, Harish Puppala, Srinivas Rallapalli, Ajit Pratap Singh:
Attention-enabled Deep Neural Network for Enhancing UAV-Captured Pavement Imagery in Poor Visibility. MIPR 2023: 1-4 - [c17]Chaitanya Kapoor, Aadith Warrier, Mohit Singh, Pratik Narang, Harish Puppala, Srinivas Rallapalli, Ajit Pratap Singh:
Fast and Lightweight UAV-based Road Image Enhancement Under Multiple Low-Visibility Conditions. PerCom Workshops 2023: 154-159 - [i8]Esha Pahwa, Achleshwar Luthra, Pratik Narang:
LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility. CoRR abs/2301.05434 (2023) - [i7]Syed Sameen Ahmad Rizvi, Preyansh Agrawal, Jagat Sesh Challa, Pratik Narang:
InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset. CoRR abs/2310.00287 (2023) - 2022
- [j21]Dwij Mehta, Aditya Mehta, Pratik Narang, Vinay Chamola, Sherali Zeadally:
Deep Learning Enhanced UAV Imagery for Critical Infrastructure Protection. IEEE Internet Things Mag. 5(2): 30-34 (2022) - [j20]Anirudh Singh, Amit Chougule, Pratik Narang, Vinay Chamola, F. Richard Yu:
Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j19]Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma:
AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. 34(1): 771-782 (2022) - [j18]Aryan Mehra, Murari Mandal, Pratik Narang, Vinay Chamola:
Correction to "ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions". IEEE Trans. Intell. Transp. Syst. 23(3): 2888 (2022) - [j17]Anirudh Srinivasan Chakravarthy, Soumendu Sinha, Pratik Narang, Murari Mandal, Vinay Chamola, F. Richard Yu:
DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications. IEEE Trans. Veh. Technol. 71(4): 4277-4286 (2022) - [i6]Vikram S. Chundawat, Ayush K. Tarun, Murari Mandal, Mukund Lahoti, Pratik Narang:
TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data. CoRR abs/2207.05295 (2022) - 2021
- [j16]Aryan Mehra, Pratik Narang, Murari Mandal:
TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing. J. Vis. Commun. Image Represent. 77: 103137 (2021) - [j15]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
FakeBERT: Fake news detection in social media with a BERT-based deep learning approach. Multim. Tools Appl. 80(8): 11765-11788 (2021) - [j14]Sahil Yadav, Aryan Mehra, Honnesh Rohmetra, Rahul Ratnakumar, Pratik Narang:
DerainGAN: Single image deraining using wasserstein GAN. Multim. Tools Appl. 80(30): 36491-36507 (2021) - [j13]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
EchoFakeD: improving fake news detection in social media with an efficient deep neural network. Neural Comput. Appl. 33(14): 8597-8613 (2021) - [j12]Balmukund Mishra, Deepak Garg, Pratik Narang, Vipul Mishra:
A hybrid approach for search and rescue using 3DCNN and PSO. Neural Comput. Appl. 33(17): 10813-10827 (2021) - [j11]Ayush Jain, Rohit Ramaprasad, Pratik Narang, Murari Mandal, Vinay Chamola, F. Richard Yu, Mohsen Guizani:
AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions. IEEE Netw. 35(4): 129-135 (2021) - [j10]Aryan Mehra, Murari Mandal, Pratik Narang, Vinay Chamola:
ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions. IEEE Trans. Intell. Transp. Syst. 22(7): 4256-4266 (2021) - [j9]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
DeepFakE: improving fake news detection using tensor decomposition-based deep neural network. J. Supercomput. 77(2): 1015-1037 (2021) - [j8]Prateek Garg, Anirudh Srinivasan Chakravarthy, Murari Mandal, Pratik Narang, Vinay Chamola, Mohsen Guizani:
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities. ACM Trans. Internet Techn. 21(3): 66:1-66:18 (2021) - [c16]Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). AAAI 2021: 15781-15782 - [c15]Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang:
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract). AAAI 2021: 15895-15896 - [c14]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset. COMAD/CODS 2021: 437 - [c13]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang:
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset. ICAART (2) 2021: 1066-1072 - [c12]Aditya Mehta, Harsh Sinha, Murari Mandal, Pratik Narang:
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. WACV 2021: 413-422 - [i5]Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement. CoRR abs/2102.05399 (2021) - [i4]Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang:
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping. CoRR abs/2102.05418 (2021) - 2020
- [j7]Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Soumendu Sinha:
FNDNet - A deep convolutional neural network for fake news detection. Cogn. Syst. Res. 61: 32-44 (2020) - [j6]Balmukund Mishra, Deepak Garg, Pratik Narang, Vipul Mishra:
Drone-surveillance for search and rescue in natural disaster. Comput. Commun. 156: 1-10 (2020) - [j5]Gaurang Bansal, Vinay Chamola, Pratik Narang, Subham Kumar, Sundaresan Raman:
Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation. IET Image Process. 14(7): 1240-1247 (2020) - [c11]Jai Singhal, Pratik Narang:
DeblurRL: Image Deblurring with Deep Reinforcement Learning. CVIP (2) 2020: 445-454 - [c10]Aditya Mehta, Harsh Sinha, Pratik Narang, Murari Mandal:
HIDeGan: A Hyperspectral-guided Image Dehazing GAN. CVPR Workshops 2020: 846-856 - [c9]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CVPR Workshops 2020: 2029-2044 - [c8]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Apostolos Axenopoulos, Arne Schumann, Athanasios Psaltis, Ayush Jain, Bin Dong, Changlin Li, Chen Chen, Chengzhen Duan, Chongyang Zhang, Daniel Stadler, Dheeraj Reddy Pailla, Dong Yin, Faizan Khan, Fanman Meng, Guangyu Gao, Guosheng Zhang, Hansheng Chen, Hao Zhou, Haonian Xie, Heqian Qiu, Hongliang Li, Ioannis Athanasiadis, Jincai Cui, Jingkai Zhou, Jong Hwan Ko, Joo Chan Lee, Jun Yu, Jungyeop Yoo, Lars Wilko Sommer, Lu Xiong, Michael Schleiss, Ming-Hsuan Yang, Mingyu Liu, Minjian Zhang, Murari Mandal, Petros Daras, Pratik Narang, Qiong Liu, Qiu Shi, Qizhang Lin, Rohit Ramaprasad, Sai Wang, Sarvesh Mehta, Shuai Li, Shuqin Huang, Sungtae Moon, Taijin Zhao, Ting Sun, Wei Guo, Wei Tian, Weida Qin, Weiping Yu, Wenxiang Lin, Xi Zhao, Xiaogang Jia, Xin He, Xingjie Zhao, Xuanxin Liu, Yan Ding, Yan Luo, Yang Xiao, Yi Wang, Yingjie Liu, Yongwoo Kim, Yu Sun, Yuehan Yao, Yuyao Huang, Zehui Gong, Zhenyu Xu, Zhipeng Luo, Zhiguo Cao, Zhiwei Wei, Zhongjie Fan, Zichen Song, Ziming Liu:
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (4) 2020: 692-712 - [c7]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [i3]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Jing Liu, Haiyan Wu, Yuan Xie, Yanyun Qu, Lizhuang Ma, Ziling Huang, Qili Deng, Ju-Chin Chao, Tsung-Shan Yang, Peng-Wen Chen, Po-Min Hsu, Tzu-Yi Liao, Chung-En Sun, Pei-Yuan Wu, Jeonghyeok Do, Jongmin Park, Munchurl Kim, Kareem Metwaly, Xuelu Li, Tiantong Guo, Vishal Monga, Mingzhao Yu, Venkateswararao Cherukuri, Shiue-Yuan Chuang, Tsung-Nan Lin, David Lee, Jerome Chang, Zhan-Han Wang, Yu-Bang Chang, Chang-Hong Lin, Yu Dong, Hongyu Zhou, Xiangzhen Kong, Sourya Dipta Das, Saikat Dutta, Xuan Zhao, Bing Ouyang, Dennis Estrada, Meiqi Wang, Tianqi Su, Siyi Chen, Bangyong Sun, Vincent Jacob Whannou de Dravo, Zhe Yu, Pratik Narang, Aryan Mehra, Navaneeth Raghunath, Murari Mandal:
NTIRE 2020 Challenge on NonHomogeneous Dehazing. CoRR abs/2005.03457 (2020) - [i2]Aditya Mehta, Harsh Sinha, Murari Mandal, Pratik Narang:
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing. CoRR abs/2011.03677 (2020)
2010 – 2019
- 2019
- [j4]Rishabh Bhardwaj, Soumendu Sinha, Nishad Sahu, Sagnik Majumder, Pratik Narang, Ravindra Mukhiya:
Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques. Int. J. Circuit Theory Appl. 47(6): 954-970 (2019) - 2016
- [j3]Pratik Narang, Chittaranjan Hota, Husrev Taha Sencar:
Noise-resistant mechanisms for the detection of stealthy peer-to-peer botnets. Comput. Commun. 96: 29-42 (2016) - [c6]Pratik Narang, Biplab Sikdar:
Anomaly detection in diurnal CPS monitoring data using a local density approach. ICNP 2016: 1-5 - [c5]Vinay Chamola, Pratik Narang, Biplab Sikdar:
Downlink power control for latency aware grid energy savings in green cellular networks. Sarnoff Symposium 2016: 1-6 - 2015
- [j2]Pratik Narang, Chittaranjan Hota:
Game-theoretic strategies for IDS deployment in peer-to-peer networks. Inf. Syst. Frontiers 17(5): 1017-1028 (2015) - 2014
- [j1]Pratik Narang, Chittaranjan Hota, V. N. Venkatakrishnan:
PeerShark: flow-clustering and conversation-generation for malicious peer-to-peer traffic identification. EURASIP J. Inf. Secur. 2014: 15 (2014) - [c4]Pratik Narang, Abhishek Thakur, Chittaranjan Hota:
HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets. COMAD 2014: 121-124 - [c3]Pratik Narang, Vansh Khurana, Chittaranjan Hota:
Machine-learning approaches for P2P botnet detection using signal-processing techniques. DEBS 2014: 338-341 - [c2]Pratik Narang, Subhajit Ray, Chittaranjan Hota, Venkat Venkatakrishnan:
PeerShark: Detecting Peer-to-Peer Botnets by Tracking Conversations. IEEE Symposium on Security and Privacy Workshops 2014: 108-115 - 2013
- [c1]Pratik Narang, Jagan Mohan Reddy, Chittaranjan Hota:
Feature selection for detection of peer-to-peer botnet traffic. COMPUTE 2013: 16:1-16:9 - [i1]Sharath Chandra Guntuku, Pratik Narang, Chittaranjan Hota:
Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network. CoRR abs/1307.7464 (2013)
Coauthor Index
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last updated on 2024-12-23 20:29 CET by the dblp team
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