SANTOSH KUMAR VIPPARTHI

Scopus Publications

FedHMed: Adaptive progressive loss and KL-divergence regularization for federated heterogeneous medical image classification tasks
Kushall Pal Singh, Monu Verma, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Mohamed Saeed Abdel-Mottaleb
Knowledge Based Systems, 2026
FedHC: Enhanced federated learning with Hessian and cosine correlation for proximal correlation
Kushall Pal Singh, Monu Verma, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, G. Shankara Raju Kosuru, Subrahmanyam Murala, Mohamed Abdel-Mottaleb
Knowledge Based Systems, 2026
A motion flow guided MicroNet framework for micro expression recognition
Monu Verma, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb
Journal of Visual Communication and Image Representation, 2026
ME-NAS: A Micro Expression Feature Adaptive Neural Architecture Search
Monu Verma, Santosh Kumar Vipparthi, Subrahmanyam Murala, Mohamed Abdel-Mottaleb
ACM Transactions on Intelligent Systems and Technology, 2026
Convolution neural networks (CNN) have emerged as a prevailing paradigm for micro-expression recognition (MER) yet, it is inefficient and time-intensive to design optimal CNN-based MER models manually. In recent times, the neural architecture search (NAS) has garnered attention due to its automatic CNN architecture searching ability. However, the performance of NAS in MER is limited by challenges such as rapid duration, subtle intensity, and a mismatch between architecture and cell-level search. The existing search space, which stacks 12 cells with 3 transition paths (downsample, upsample, and same resolution), creates deep networks that may diminish minute spatiotemporal features due to progressive convolution and pooling. Therefore, motivated by these factors, in this article, we introduce a novel approach, the Micro-Expression Feature Adaptive NAS (ME-NAS), to analyze true human emotions through MER. While NAS has gained attention for its automatic CNN architecture search ability, its application in MER faces challenges due to ingrained challenges (rapid duration, subtle and low intensity) and the discrepancy between architecture and cell-level search. The existing NAS architecture search space is designed by stacking 12 cells with 3 transition paths (downsample, upsample, and same resolution), resulting in a deep network. Such deep networks may diminish minute spatiotemporal features due to the progressive convolution and pooling operations. Motivated by these factors, we designed a new NAS algorithm: ME-NAS. The ME-NAS comprises f (EXPERT) in architecture search, along with refined and complementary feature derivative (ReCODE) operations in cell-level search. The EXPERT aims to trace the optimal paths instead of covering all possible paths between cells. The ReCODE operations capture micro-level variations from spatial and temporal domains by introducing 24 3D convolution operations. The proposed ReCODE and EXPERT search space jointly lead to the search for a robust and shallow CNN architecture for micro-expressions (MEs). The proposed ME-NAS is evaluated on six datasets: CASME-I, CASME-II, CAS(ME) \\({}^{2}\\) , SAMM, SMIC, and MEGC-19 composite, with two evaluation strategies: LOSO and cross-domain, respectively. The experimental results manifest that the proposed ME-NAS outperformed the state-of-the-art approaches on both evaluation strategies.
TransWaveNet: Transformer for Underwater Image Restoration with Wavelets
Priyanka Mishra, MD Raqib Khan, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala
IEEE Transactions on Artificial Intelligence, 2026
Underwater image restoration aims to improve the quality and visibility of images taken in underwater environments. These images find application in diverse fields like marine biology research, underwater archaeology, environmental monitoring, surveillance tasks, and offshore infrastructure inspection. However, the complexities of the underwater environment make these applications challenging, as light scattering and absorption cause blur, color cast, and reduced contrast in images. With the promising results on restoring underwater degraded images, existing approaches limit their performance in case of the above-mentioned complex and nonlinear degradation. In this research work, we propose a multi-directional wavelet coefficient space transformer model for underwater image deblurring and color restoration. Incorporating an attention mechanism within transformed spaces, our model dynamically adapts to underwater degradation. Additionally, we introduce a wavelet attention fusion transformer block for attention computation in the wavelet coefficient space, along with an edge-preserving wavelet down-sampling block to retain fine details and textures during downsampling. A thorough assessment of our method on real-world (UCCS, U45, SQUID) and synthetic (UIEB, UCDD) datasets, along with profound ablation studies, validates its edge over existing techniques. Further, we have evaluated our method for tasks such as depth estimation, and low-light enhancement and deblurring, demonstrating its versatility and broad applicability across various image processing tasks. The code is made available at: <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/Priyanka01mishra/TransWaveNet</uri>.
Dynamic Neural Architecture Search for Micro-Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Subrahmanyam Murala, Mohamed Abdel-Mottaleb
IEEE Transactions on Biometrics Behavior and Identity Science, 2026
Micro-expressions (MEs) are transient in nature and reveal enough visual cues to recognize genuine emotions. Neural Architecture Search (NAS) has recently gained significant attention in the field of micro expression recognition (MER). However, existing NAS approaches in MER rely on general-purpose strategies, often reducing network depth to compensate for limited training data. This restriction can limit the discovery of optimal architectures, especially since dataset sizes in MER vary significantly. Moreover, focusing solely on operation selection and connectivity is inadequate, flexibility in depth and structure is essential to adapt to different data characteristics. While shallow networks are often considered suitable for small datasets, this assumption falls short for MER. Despite the scarcity of training samples, MEs are inherently complex, fleeting, and nuanced, requiring models with high representational power for accurate recognition. To address this trade-off, we propose a novel Dynamic Neural Architecture Search framework for MER (DNAS-MER), designed to adaptively balance model depth and architectural design based on the data. The proposed DNAS hierarchically optimizes the network depth, resolution paths, and cell-level operations through a scalable network search space and a multi-scale context-aware (MSCA) cell search space. A novel depth-aware loss function enables the model to automatically adapt depth based on data needs, while MSCA cell search, embedded with adaptive feature fusion operations, enhances ME-specific feature representation to better capture the complexity of MEs. We evaluate DNAS-MER on a composite dataset MEGC2019, CASME-II, and SMIC. Experimental results demonstrate that DNAS-MER consistently outperforms existing state-of-the-art methods for both video and image-based MER tasks.
WAVE-NET: Weakly-Supervised Video Anomaly Detection Through Feature Enhancement and Triplet Loss
Sachin Dube, Kuldeep Biradar, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Preface
Communications in Computer and Information Science, 2026
Compact convolution transformer with cross-feature aggregation for hand-gesture recognition
Satya Narayan, Praful Hambarde, Santosh Kumar Vipparthi, Arka Prokash Mazumdar, Subrahmanyam Murala
Computers and Electrical Engineering, 2025
Learnable directional scale space filters for video motion magnification
Jasdeep Singh, Santosh Kumar Vipparthi, Subrahmanyam Murala, G. Sankara Raju Kosuru, Hasan Almarzouqi
Knowledge Based Systems, 2025
Hierarchical motion magnification
Jasdeep Singh, Santosh Kumar Vipparthi, Subrahmanyam Murala, G. Sankara Raju Kosuru, Hasan Al-Marzouqi
Neurocomputing, 2025
Cross-centroid ripple pattern for facial expression recognition
Monu Verma, Santosh Kumar Vipparthi
Multimedia Tools and Applications, 2025
A novel approach for image retrieval in remote sensing using vision-language-based image caption generation
Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Multimedia Tools and Applications, 2025
Intelligent Visual to Textual Mapping in Automatic Medical Diagnosis and Treatment
Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Smart Electronic Devices and Systems for Biomedical and Healthcare Applications, 2025
Fusing Image and Text Features for Scene Sentiment Analysis Using Whale-Honey Badger Optimization Algorithm (WHBOA)
Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
U-ENHANCE: Underwater Image Enhancement Using Wavelet Triple Self-attention
Priyanka Mishra, Santosh Kumar Vipparthi, Subrahmanyam Murala
Lecture Notes in Computer Science, 2025
Multi-Medium Image Enhancement With Attentive Deformable Transformers
Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala
IEEE Transactions on Emerging Topics in Computational Intelligence, 2025
WARMOS: Enhancing Weather-Affected Referred Moving Object Segmentation
Prafulla Saxena, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, Subrahmanyam Murala
Lecture Notes in Computer Science, 2025
USWformer: Efficient Sparse Wavelet Transformer for Underwater Image Enhancement
Priyanka Mishra, Nancy Mehta, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 2025
TRUST: Time-Domain Residual Unsupervised Stability Technique for Improved Heart Rate Estimation
Shahzad Ahmad, Sania Bano, Sukalpa Chanda, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 2025
Probing Attention-Driven Normalizing Flow Network for Low-Light Image Enhancement
Siddharth Singh, Nancy Mehta, K. N. Prakash, Santosh Kumar Vipparthi, Subrahmanyam Murala
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
Attentive Color Fusion Transformer Network (ACFTNet) for Underwater Image Enhancement
Mohd Ubaid Wani, Md Raqib Khan, Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
Former-HGR: Hand Gesture Recognition With Hybrid Feature-Aware Transformer
Monu Verma, Garvit Gopalani, Saiyam Bharara, Santosh Kumar Vipparthi, Subrahmanyam Murala, Mohamed Abdel-Mottaleb
IEEE Sensors Letters, 2025
Phaseformer: Phase-Based Attention Mechanism for Underwater Image Restoration and Beyond
MD Raqib Khan, Anshul Negi, Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 2025
Frequency Modulated Deformable Transformer for Underwater Image Enhancement
Adinath Dukre, Vivek Deshmukh, Ashutosh Kulkarni, Shruti Phutke, Santosh Kumar Vipparthi, Anil B. Gonde, Subrahmanyam Murala
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2025
PULSE: Physiological Understanding with Liquid Signal Extraction
Shahzad Ahmad, Sania Bano, Sachin Verma, Yogesh Singh Rawat, Sukalpa Chanda, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings 2025 IEEE Winter Conference on Applications of Computer Vision Wacv 2025, 2025
Pureformer: Transformer-Based Image Denoising
Arnim Gautam, Aditi Pawar, Aishwarya Joshi, Satya Narayan Tazi, Sachin Chaudhary, Praful Hambadre, Akshay Dudhane, Santosh Kumar Vipparthi, Subrahmanyam Murala
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
The Tenth NTIRE 2025 Image Denoising Challenge Report
Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li, Xiangyu Kong, Hyunhee Park, Xiaoxuan Yu, Suejin Han, Hakjae Jeon, Jia Li, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Jingyu Ma, Zhijuan Huang, Huiyuan Fu, Hongyuan Yu, Boqi Zhang, Jiawei Shi, Heng Zhang, Huadong Ma, Deepak Kumar Tyagi, Aman Kukretti, Gajender Sharma, Sriharsha Koundinya, Asim Manna, Jun Cheng, Shan Tan, Jun Liu, Jiangwei Hao, Jianping Luo, Jie Lu, Satya Narayan Tazi, Arnim Gautam, Aditi Pawar, Aishwarya Joshi, Akshay Dudhane, Praful Hambadre, Sachin Chaudhary, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jiachen Tu, Nikhil Akalwadi, Vijayalaxmi Ashok Aralikatti, Dheeraj Damodar Hegde, G Gyaneshwar Rao, Jatin Kalal, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Zhenyuan Lin, Yubo Dong, Weikun Li, Anqi Li, Ang Gao, Weijun Yuan, Zhan Li, Ruting Deng, Yihang Chen, Yifan Deng, Zhanglu Chen, Boyang Yao, Shuling Zheng, Feng Zhang, Zhiheng Fu, Anas M. Ali, Bilel Benjdira, Wadii Boulila, JanSeny, Pei Zhou, Jianhua Hu, K. L. Eddie Law, Jaeho Lee, M. J. Aashik Rasool, Abdur Rehman, SMA Sharif, Seongwan Kim, Alexandru Brateanu, Raul Balmez, Ciprian Orhei, Cosmin Ancuti, Zeyu Xiao, Zhuoyuan Li, Ziqi Wang, Yanyan Wei, Fei Wang, Kun Li, Shengeng Tang, Yunkai Zhang, Weirun Zhou, Haoxuan Lu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
NTIRE 2025 Challenge on Image Super-Resolution (× 4): Methods and Results
Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Liu, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V Hiremath, Yashaswini Palani, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results
Xiaoning Liu, Zongwei Wu, Florin-Alexandru Vasluianu, Hailong Yan, Bin Ren, Yulun Zhang, Shuhang Gu, Le Zhang, Ce Zhu, Radu Timofte, Kangbiao Shi, Yixu Feng, Tao Hu, Yu Cao, Peng Wu, Yijin Liang, Yanning Zhang, Qingsen Yan, Han Zhou, Wei Dong, Yan Min, Mohab Kishawy, Jun Chen, Pengpeng Yu, Anjin Park, Seung-Soo Lee, Young-Joon Park, Zixiao Hu, Junyv Liu, Huilin Zhang, Jun Zhang, Fei Wan, Bingxin Xu, Hongzhe Liu, Cheng Xu, Weiguo Pan, Songyin Dai, Xunpeng Yi, Qinglong Yan, Yibing Zhang, Jiayi Ma, Changhui Hu, Kerui Hu, Donghang Jing, Tiesheng Chen, Zhi Jin, Hongjun Wu, Biao Huang, Haitao Ling, Jiahao Wu, Dandan Zhan, G Gyaneshwar Rao, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Ruirui Lin, Guoxi Huang, Nantheera Anantrasirichai, Qirui Yang, Alexandru Brateanu, Ciprian Orhei, Cosmin Ancuti, Daniel Feijoo, Juan C. Benito, Álvaro García, Marcos V. Conde, Yang Qin, Raul Balmez, Anas M. Ali, Bilel Benjdira, Wadii Boulila, Tianyi Mao, Huan Zheng, Yanyan Wei, Shengeng Tang, Dan Guo, Zhao Zhang, Sabari Nathan, K Uma, A Sasithradevi, B Sathya Bama, S. Mohamed Mansoor Roomi, Ao Li, Xiangtao Zhang, Zhe Liu, Yijie Tang, Jialong Tang, Zhicheng Fu, Gong Chen, Joe Nasti, John Nicholson, Zeyu Xiao, Zhuoyuan Li, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Duan Liu, Weile Li, Hangyuan Lu, Rixian Liu, Tengfeng Wang, Jinxing Liang, Chenxin Yu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
The Tenth NTIRE 2025 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Lei Sun, Zongwei Wu, Radu Timofte, Yawei Li, Yao Zhang, Xinning Chai, Zhengxue Cheng, Yingsheng Qin, Yucai Yang, Li Song, Hongyuan Yu, Pufan Xu, Cheng Wan, Zhijuan Huang, Peng Guo, Shuyuan Cui, Chenjun Li, Xuehai Hu, Pan Pan, Xin Zhang, Heng Zhang, Qing Luo, Linyan Jiang, Haibo Lei, Qifang Gao, Yaqing Li, Weihua Luo, Tsing Li, Qing Wang, Yi Liu, Yang Wang, Hongyu An, Liou Zhang, Shijie Zhao, Lianhong Song, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Jing Wei, Mengyang Wang, Ruilong Guo, Qian Wang, Qingliang Liu, Yang Cheng, Davinci, Enxuan Gu, Pinxin Liu, Yongsheng Yu, Hang Hua, Yunlong Tang, Shihao Wang, Yukun Yang, Zhiyu Zhang, Yukun Yang, Jiyu Wu, Jiancheng Huang, Yifan Liu, Yi Huang, Shifeng Chen, Rui Chen, Yi Feng, Mingxi Li, Cailu Wan, Xiangji Wu, Zibin Liu, Jinyang Zhong, Kihwan Yoon, Ganzorig Gankhuyag, Shengyun Zhong, Mingyang Wu, Renjie Li, Yushen Zuo, Zhengzhong Tu, Zongang Gao, Guannan Chen, Yuan Tian, Wenhui Chen, Weijun Yuan, Zhan Li, Yihang Chen, Yifan Deng, Ruting Deng, Yilin Zhang, Huan Zheng, Yanyan Wei, Wenxuan Zhao, Suiyi Zhao, Fei Wang, Kun Li, Yinggan Tang, Mengjie Su, Jae-hyeon Lee, Dong-Hyeop Son, Ui-Jin Choi, Tiancheng Shao, Yuqing Zhang, Mengcheng Ma, Donggeun Ko, Youngsang Kwak, Jiun Lee, Jaehwa Kwak, Yuxuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jing Hu, Hui Deng, Xuan Zhang, Lin Zhu, Qinrui Fan, Weijian Deng, Junnan Wu, Wenqin Deng, Yuquan Liu, Zhaohong Xu, Jameer Babu Pinjari, Kuldeep Purohit, Zeyu Xiao, Zhuoyuan Li, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Sachin Chaudhary, Satya Naryan Tazi, Prashant Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Wei-Chen Shen, I-Hsiang Chen, Yunzhe Xu, Chen Zhao, Zhizhou Chen, Akram Khatami-Rizi, Ahmad Mahmoudi-Aznaveh, Alejandro Merino, Bruno Longarela, Javier Abad, Marcos V. Conde, Simone Bianco, Luca Cogo, Gianmarco Corti
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2025
Triplet-set feature proximity learning for video anomaly detection
Kuldeep Marotirao Biradar, Murari Mandal, Sachin Dube, Santosh Kumar Vipparthi, Dinesh Kumar Tyagi
Image and Vision Computing, 2024
C2AIR: Consolidated Compact Aerial Image Haze Removal
Ashutosh Kulkarni, Shruti S. Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Wacv 2024, 2024
Spectroformer: Multi-Domain Query Cascaded Transformer Network for Underwater Image Enhancement
Md Raqib Khan, Priyanka Mishra, Nancy Mehta, Shruti S. Phutke, Santosh Kumar Vipparthi, Sukumar Nandi, Subrahmanyam Murala
Proceedings 2024 IEEE Winter Conference on Applications of Computer Vision Wacv 2024, 2024
LUMINATE: LINGUISTIC UNDERSTANDING AND MULTI-GRANULARITY INTERACTION FOR VIDEO OBJECT SEGMENTATION
Rahul Tekchandani, Ritik Maheshwari, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings International Conference on Image Processing Icip, 2024
RefMOS: A Robust Referred Moving Object Segmentation framework based on text query
Prafulla Saxena, Susim Mukul Roy, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, Subrahmanyam Murala, R. Balasubramanian
Proceedings IEEE International Conference on Advanced Video and Signal Based Surveillance Avss, 2024
AeroDehazeNet: Exploiting Selective Multi-Scale Transformers for Aerial Image Dehazing
Kartik Gonde, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Pramod Patil, Vinod Kimbahune
Proceedings IEEE International Conference on Advanced Video and Signal Based Surveillance Avss, 2024
Zero Reference based Low-light Enhancement with Wavelet Optimization
Vivek Deshmukh, Adinath Dukre, Ashutosh Kulkarni, Prashant W. Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Anil Balaji Gonde
Proceedings IEEE International Conference on Advanced Video and Signal Based Surveillance Avss, 2024
NTIRE 2024 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Cailian Chen, Radu Timofte, Wei Dong, Han Zhou, Yuqiong Tian, Jun Chen, Xueyang Fu, Xin Lu, Yurui Zhu, Xi Wang, Dong Li, Jie Xiao, Yunpeng Zhang, Zheng-Jun Zha, Zhao Zhang, Suiyi Zhao, Bo Wang, Yan Luo, Yanyan Wei, Zhihao Zhao, Long Sun, Tingting Yang, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bilel Benjdira, Mohammed Nassif, Anis Koubaa, Ahmed Elhayek, Anas M. Ali, Kyotaro Tokoro, Kento Kawai, Kaname Yokoyama, Takuya Seno, Yuki Kondo, Norimichi Ukita, Chenghua Li, Bo Yang, Zhiqi Wu, Gao Chen, Yihan Yu, Sixiang Chen, Kai Zhang, Tian Ye, Wenbin Zou, Yunlong Lin, Zhaohu Xing, Jinbin Bai, Wenhao Chai, Lei Zhu, Ritik Maheshwari, Rakshank Verma, Rahul Tekchandani, Praful Hambarde, Satya Narayan Tazi, Santosh Kumar Vipparthi, Subrahmanyam Murala, Jaeho Lee, Seongwan Kim, Sharif S M A, Nodirkhuja Khujaev, Roman Tsoy, Fan Gao, Weidan Yan, Wenze Shao, Dengyin Zhang, Bin Chen, Siqi Zhang, Yanxin Qian, Yuanbin Chen, Yuanbo Zhou, Tong Tong, Rongfeng Wei, Ruiqi Sun, Yue Liu, Nikhil Akalwadi, Amogh Joshi, Sampada Malagi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Ali Murtaza, Uswah Khairuddin, Ahmad ’Athif Mohd Faudzi, Adinath Dukre, Vivek Deshmukh, Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Anil Gonde, Subrahmanyam Murala, Arun karthik K, Manasa N, Shri Hari Priya, Wei Hao, Xingzhuo Yan, Minghan Fu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2024
SBI-DHGR: Skeleton-based intelligent dynamic hand gestures recognition
Satya Narayan, Arka Prokash Mazumdar, Santosh Kumar Vipparthi
Expert Systems with Applications, 2023
Neural Architecture Search for Image Dehazing
Murari Mandal, Yashwanth Reddy Meedimale, M. Satish Kumar Reddy, Santosh Kumar Vipparthi
IEEE Transactions on Artificial Intelligence, 2023
Deep Insights of Learning-Based Micro Expression Recognition: A Perspective on Promises, Challenges, and Research Needs
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
IEEE Transactions on Cognitive and Developmental Systems, 2023
Efficient neural architecture search for emotion recognition
Monu Verma, Murari Mandal, Satish Kumar Reddy, Yashwanth Reddy Meedimale, Santosh Kumar Vipparthi
Expert Systems with Applications, 2023
HyFiNet: Hybrid feature attention network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Multimedia Tools and Applications, 2023
Artificial Intelligence and Data Science Based R&D Interventions: Proceedings of NERC 2022
Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi
Artificial Intelligence and Data Science Based R and D Interventions Proceedings of Nerc 2022, 2023
Blind Image Inpainting via Omni-dimensional Gated Attention and Wavelet Queries
Shruti S. Phutke, Ashutosh Kulkarni, Santosh Kumar Vipparthi, Subrahmanyam Murala
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023
Preface
Artificial Intelligence and Data Science Based R and D Interventions Proceedings of Nerc 2022, 2023
RNAS-MER: A Refined Neural Architecture Search with Hybrid Spatiotemporal Operations for Micro-Expression Recognition
Monu Verma, Priyanka Lubal, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb
Proceedings 2023 IEEE Winter Conference on Applications of Computer Vision Wacv 2023, 2023
NTIRE 2023 Image Shadow Removal Challenge Report
Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeo-Reum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Li Xianwei, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, MD Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023
A multilane traffic and collision generator for IoV
Anamika Satrawala, Arka Prokash Mazumdar, Santosh Kumar Vipparthi
Simulation Modelling Practice and Theory, 2022
ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Visual Computer, 2022
AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition
Monu Verma, M. Satish Kumar Reddy, Yashwanth Reddy Meedimale, Murari Mandal, Santosh Kumar Vipparthi
IEEE Transactions on Neural Networks and Learning Systems, 2022
An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs
Murari Mandal, Santosh Kumar Vipparthi
IEEE Transactions on Intelligent Transportation Systems, 2022
Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection
Murari Mandal, Santosh Kumar Vipparthi
IEEE Transactions on Intelligent Transportation Systems, 2022
Distributed Adaptive Recommendation & Time-stamp based Estimation of Driver-Behaviour
Anamika Satrawala, Arka Prokash Mazumdar, Santosh Kumar Vipparthi
2022 IEEE Region 10 Symposium Tensymp 2022, 2022
Att-PyNet: An Attention Pyramidal Feature Network for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
Lecture Notes in Electrical Engineering, 2022
MAG-Net: A Memory Augmented Generative Framework for Video Anomaly Detection Using Extrapolation
Sachin Dube, Kuldeep Biradar, Santosh Kumar Vipparthi, Dinesh Kumar Tyagi
Communications in Computer and Information Science, 2022
HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond
Deepti Sharma, Kuldeep M. Biradar, Santosh K. Vipparthi, Ramesh B. Battula
Lecture Notes in Networks and Systems, 2022
RIChEx: A ROBUST INTER-FRAME CHANGE EXPOSURE FOR SEGMENTING MOVING OBJECTS
Prafulla Saxena, Kuldeep Biradar, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi
Proceedings International Conference on Image Processing Icip, 2022
BerConvoNet: A deep learning framework for fake news classification
Monika Choudhary, Satyendra Singh Chouhan, Emmanuel S. Pilli, Santosh Kumar Vipparthi
Applied Soft Computing, 2021
One for All: An End-to-End Compact Solution for Hand Gesture Recognition
Monu Verma, Ayushi Gupta, Santosh K. Vipparthi
Proceedings of the International Joint Conference on Neural Networks, 2021
AffectiveNet: Affective-Motion Feature Learning for Microexpression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
IEEE Multimedia, 2021
A Review of Non-Invasive HbA1c and Blood Glucose Measurement Methods
Gaurav Jain, Amit M. Joshi, Ravi Kumar Maddila, Santosh Kumar Vipparthi
Proceedings 2021 IEEE International Symposium on Smart Electronic Systems Ises 2021, 2021
3DCD: Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos
Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb
IEEE Transactions on Image Processing, 2021
Parity Check Based Descriptor for Hand Gesture Detection and Recognition
Satya Narayan, S. K. Vipparthi, A.P. Mazumdar
2020 IEEE 15th International Conference on Industrial and Information Systems Iciis 2020 Proceedings, 2020
Hand Gesture Recognition with Gaussian Scaling and Kirsch Edge Rotation
Satya Narayan, S. K. Vipparthi, A.P. Mazumdar
2020 IEEE 15th International Conference on Industrial and Information Systems Iciis 2020 Proceedings, 2020
CrossFeat: Multi-scale Cross Feature Aggregation Network for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi
2020 IEEE 15th International Conference on Industrial and Information Systems Iciis 2020 Proceedings, 2020
MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos
Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi
Mm 2020 Proceedings of the 28th ACM International Conference on Multimedia, 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh
Proceedings of the International Joint Conference on Neural Networks, 2020
EXTRA: An Extended Radial Mean Response Pattern for Hand Gesture Recognition
Gopa Bhaumik, Monu Verma, M C Govil, S K Vipparthi
Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
MotionRec: A unified deep framework for moving object recognition
Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi
Proceedings 2020 IEEE Winter Conference on Applications of Computer Vision Wacv 2020, 2020
AVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
Murari Mandal, Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi
IEEE Geoscience and Remote Sensing Letters, 2020
Iciotct 2019 preface
Advances in Intelligent Systems and Computing, 2020
Preface
Communications in Computer and Information Science, 2020
Preface
Communications in Computer and Information Science, 2020
3D CNN with localized residual connections for hyperspectral image classification
Shivangi Dwivedi, Murari Mandal, Shekhar Yadav, Santosh Kumar Vipparthi
Communications in Computer and Information Science, 2020
LEARNet: Dynamic Imaging Network for Micro Expression Recognition
Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala
IEEE Transactions on Image Processing, 2020
3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection
Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi
IEEE Signal Processing Letters, 2019
SOD-ced: Salient object detection for noisy images using convolution encoder-decoder
Maheep Singh, Mahesh C. Govil, Emmanuel S. Pilli, Santosh Kumar Vipparthi
Iet Computer Vision, 2019
SSSDET: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes
Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi
Proceedings International Conference on Image Processing Icip, 2019
3D local circular difference patterns for biomedical image retrieval
Nilima Mohite, Laxman Waghmare, Anil Gonde, Santoshkumar Vipparthi
International Journal of Multimedia Information Retrieval, 2019
Regional adaptive affinitive patterns (RADAP) with logical operators for facial expression recognition
Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Kumar Vipparthi, Subrahmanyam Murala, Deveerasetty Kranthi Kumar
Iet Image Processing, 2019
ANTIC: Antithetic isomeric cluster patterns for medical image retrieval and change detection
Murari Mandal, Mallika Chaudhary, Santosh Kumar Vipparthi, Subrahmanyam Murala, Anil Balaji Gonde, Shyam Krishna Nagar
Iet Computer Vision, 2019
Vision Based Computing Systems for Healthcare Applications
Subrahmanyam Murala, Santosh Kumar Vipparthi, Zahid Akhtar
Journal of Healthcare Engineering, 2019
EXPERTNet: Exigent Features Preservative Network for Facial Expression Recognition
Monu Verma, Jaspreet Kaur Bhui, Santosh K. Vipparthi, Girdhari Singh
ACM International Conference Proceeding Series, 2018
RMDD: Cross Layer Attack in Internet of Things
Vivek Kumar Asati, Emmanuel S. Pilli, S. K. Vipparthi, Shailesh Garg, Shubham Singhal, Shubham Pancholi
2018 International Conference on Advances in Computing Communications and Informatics Icacci 2018, 2018
CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction
Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi, Subrahmanyam Murala
Proceedings International Conference on Pattern Recognition, 2018
Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval
Sonakshi Mathur, Mallika Chaudhary, Hemant Verma, Murari Mandal, S. K. Vipparthi, Subrahmanyam Murala
2017 14th IEEE India Council International Conference Indicon 2017, 2018
A survey paper on hand gesture recognition
Bhumika Nandwana, Satyanarayan Tazi, Sheifalee Trivedi, Dinesh Kumar, Santosh Kumar Vipparthi
Proceedings 7th International Conference on Communication Systems and Network Technologies Csnt 2017, 2018
DEARESt: Deep Convolutional Aberrant Behavior Detection in Real-world Scenarios
Kuldeep Biradar, Sachin Dube, Santosh Kumar Vipparthi
2018 13th International Conference on Industrial and Information Systems Iciis 2018 Proceedings, 2018
Region based extensive response index pattern for facial expression recognition
Monu Verma, S. K. Vipparthi, Girdhari Singh
Proceedings of the 2018 International Conference on Communication Computing and Internet of Things Ic3iot 2018, 2018
Diabetic Retinopathy Detection by Retinal segmentation with Region merging using CNN
Sairaj Burewar, Anil Balaji Gonde, Santosh Kumar Vipparthi
2018 13th International Conference on Industrial and Information Systems Iciis 2018 Proceedings, 2018
QUEST: Quadriletral Senary Bit Pattern for Facial Expression Recognition
Monu Verma, Prafulla Sexena, Santosh Vipparthi, Girdhari Singh
Proceedings 2018 IEEE International Conference on Systems Man and Cybernetics Smc 2018, 2018
3D local transform patterns: A new feature descriptor for image retrieval
Anil Balaji Gonde, Subrahmanyam Murala, Santosh Kumar Vipparthi, Rudraprakash Maheshwari, R. Balasubramanian
Advances in Intelligent Systems and Computing, 2017
Local extreme complete trio pattern for multimedia image retrieval system
Santosh Kumar Vipparthi, Shyam Krishna Nagar
International Journal of Automation and Computing, 2016
Local directional mask maximum edge patterns for image retrieval and face recognition
Santosh Kumar Vipparthi, Subrahmanyam Murala, Anil Balaji Gonde, Q.M. Jonathan Wu
Iet Computer Vision, 2016
Integration of Color and Local Derivative Pattern Features for Content-Based Image Indexing and Retrieval
Santosh Kumar Vipparthi, Shyam Krishna Nagar
Journal of the Institution of Engineers India Series B, 2015
Dual directional multi-motif XOR patterns: A new feature descriptor for image indexing and retrieval
Santosh Kumar Vipparthi, Subrahmanyam Murala, Shyam Krishna Nagar
Optik, 2015
Directional local ternary patterns for multimedia image indexing and retrieval
Santosh Kumar Vipparthi, S.K. Nagar
International Journal of Signal and Imaging Systems Engineering, 2015
Local Gabor maximum edge position octal patterns for image retrieval
Santosh Kumar Vipparthi, Subrahmanyam Murala, S.K. Nagar, Anil Balaji Gonde
Neurocomputing, 2015
Color Directional Local Quinary Patterns for Content Based Indexing and Retrieval
Santosh Kumar Vipparthi, Shyam Krishna Nagar
Human Centric Computing and Information Sciences, 2014
Expert image retrieval system using directional local motif XoR patterns
Santosh Kumar Vipparthi, S.K. Nagar
Expert Systems with Applications, 2014
Multi-joint histogram based modelling for image indexing and retrieval
Santosh Kumar Vipparthi, Shyam Krishna Nagar
Computers and Electrical Engineering, 2014
Directional local quinary patterns: A new feature descriptor for image indexing and retrieval
Santosh Kumar Vipparthi, S. K. Nagar
Advances in Intelligent Systems and Computing, 2014

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