(Year: 2024)

[J27] Ashutosh Kulkarni, Shruti Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala "Multi-Medium Image Enhancement With Attentive Deformable Transformers" in IEEE Transactions on Emerging Topics in Computational Intelligence, (IF: 5.3).

[J26] Praful Hambarde, Gourav Wadhwa, Santosh Kumar Vipparthi, Subrahmanyam Murala, Abhinav Dhall "Occlusion Boundary Prediction and Transformer Based Depth-Map Refinement From Single Image" in ACM Transactions on Multimedia Computing, Communications and Applications, (IF: 5.2).

[C22] Ashutosh Kulkarni, Shruti Phutke, Santosh Kumar Vipparthi, Subrahmanyam Murala "C2AIR: Consolidated Compact Aerial Image Haze Removal" in WACV-2024, Waikoloa, Hawaii, USA, 2024. (Accepted) (Core A).

[C21] Raqib Khan, Priyanka Mishra, Nancy Mehta, Shruti Phutke, Santosh Kumar Vipparthi, Sukumar Nandi and Subrahmanyam Murala, "Spectroformer: Multi-Domain Query Cascaded Transformer Network For Underwater Image Enhancement" in WACV-2024, Waikoloa, Hawaii, USA, 2024. (Accepted) (Core A).

[C20] Prem Shanker Yadav, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, "Fusing Image and Text Features for Scene Sentiment Analysis Using Whale-Honey Badger Optimization Algorithm (WHBOA)" in International Conference on Pattern Recognition (ICPR)-2024, (Accepted) (Core B).

[C20] Prafulla Saxena, Dinesh Kumar Tyagi, Santosh Kumar Vipparthi, Subrahmanyam Murala, "WARMOS: Enhancing Weather-Affected Referred Moving Object Segmentation" in ACCV-2024,2024. (Accepted) (Core B).

(Year: 2023)

[C19] Monu Verma, Priyanka Lubal, Santosh K. Vipparthi, Mohamed Abdel-Mottaleb"RNAS-MER: A Refined Neural Architecture Search with Hybrid Spatiotemporal Operations for Micro-Expression Recognition" in WACV-2023, Waikoloa, Hawaii, USA, 2023. (Accepted) (Core A).

[C18] Shruti Phutke, Ashutosh Kulkarni, Santosh K. Vipparthi, Subrahmanyam Murala "Blind Image Inpainting via Omni-Dimensional Gated Attention and Wavelet Queries" in CVPRw-2023, Vancouver, Canada, 1251-1260, 2023.

(Year: 2022)

[J25] Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh "Deep Insights of Learning based Micro Expression Recognition: A Perspective on Promises, Challenges and Research Needs," IEEE Transactions on Cognitive and Developmental Systems, 2022

[J24] Murari Mandal, Yashwanth Reddy Meedimale, M Satish Kumar Reddy, Santosh Kumar Vipparthi, "Neural Architecture Search for Image Dehazing," IEEE Transactions on Artificial Intelligence, 2022

[J23] Anamika Satrawala, Arka Prokash Mazumdar, Santosh Kumar Vipparthi, "A Multilane Traffic and Collision Generator for IoV," Simulation Modelling Practice and Theory, 2022

[J22] Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi, "HyFiNet: Hybrid feature attention network for hand gesture recognition," Multimedia Tools and Applications, 2022

[C17] Prafulla Saxena, Kuldeep Biradar, Dinesh Kumar Tyagi, Santosh K. Vipparthi, "RIChEx: A Robust Inter-Frame Change Exposure for Segmenting Moving Objects" in 29th international conference on image processing (ICIP-2022) (Core B).

[C16] Deepti Sharma, Kuldeep M. Biradar, Santosh K. Vipparthi, Ramesh Babu Battula, "HYPE: CNN Based HYbrid PrEcoding Framework for 5G and Beyond," in The 36thInternational Conference on Advanced Information Networking and Applications (AINA-2022) (Core B).

(Year: 2021)

[J21] Monu Verma, M. Satish Kumar Reddy, Yashwanth Reddy Meedimale, Murari Mandal, Santosh Kumar Vipparthi, "AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition," IEEE Transactions on Neural Networks and Learning Systems, 2021

[J20] Murari Mandal, Santosh Kumar Vipparthi, “An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs,” IEEE Transactions on Intelligent Transportation System, 2021,

[J19] Gopa Bhaumik, Monu Verma, Mahesh Chandra Govil, Santosh Kumar Vipparthi, “ ExtriDeNet: an intensive feature extrication deep network for hand gesture recognition,” The Visual Computer, 2021,

[J18] Monika Choudhary, Satyendra Singh Chouhan, Emmanuel S. Pilli, Santosh Kumar Vipparthi, “ BerConvoNet: A deep learning framework for fake news classification,” Applied Soft Computing, 2021,

[C15] Monu Verma, Ayushi Gupta,Santosh Kumar Vipparthi, "One for All: An End-to-End Compact Solution for Hand Gesture Recognition," in International Joint Conference on Neural Networks (IJCNN), 2021 (Core B).

(Year: 2020)

[J17] Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, Mohamed Abdel-Mottaleb, “3DCD: A Scene Independent End-to-End Spatiotemporal Feature Learning Framework for Change Detection in Unseen Videos,” IEEE Transactions on Image Processing, 2020, (PDF)

[J16] Murari Mandal, Santosh Kumar Vipparthi, “Scene Independency Matters: An Empirical Study of Scene Dependent and Scene Independent Evaluation for CNN-Based Change Detection,” IEEE Transactions on Intelligent Transportation System, 2020, (PDF)

[J15] Monu Verma, Santosh Kumar Vipparthi, Girdhari singh, “AffectiveNet: Affective-Motion Feature Learning for Micro Expression Recognition,” IEEE MultiMedia, 2020. (PDF)

[J14] Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala, “LEARNet: Dynamic Imaging Network for Micro Expression Recognition,” IEEE Transactions on image processing, vol. 29, pp. 1618-1627, 2019, (PDF),

[C14] Murari Mandal, Lav Kush Kumar, Santosh Kumar Vipparthi, “MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos,” ACM International Conference on Multimedia (ACMMM), (Core A*)Seattle, United States, 2020, (PDF).

[C13] Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi, “MotionRec: A Unified Deep Framework for Moving Object Recognition,” IEEE Winter Conference on Applications of Computer Vision (WACV), (Core A) Snowmass Village, Colorado, US, 2020, (PDF).

[C12] Monu Verma, Santosh Kumar Vipparthi, Girdhari singh, “Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition,” IEEE International Joint Conference on Neural Networks (IJCNN) (Core B), Glasgow, United Kingdom, 2020, (PDF).

[C11] Gopa Bhomik, Monu Verma, M. C. Govil, Santosh Kumar Vipparthi, “EXTRA: An extended radial mean response pattern for hand gesture recognition,” ICCSP, Madras, INDIA, 2020, (PDF).

(Year: 2019)

[J13] Murari Mandal, Vansh Dhar, Abhishek Mishra, Santosh Kumar Vipparthi, “3DFR: A Swift 3D Feature Reductionist Framework for Scene Independent Change Detection,” IEEE Signal Processing Letters, vol. 26, no. 12, pp. 1882-1886, 2019, (PDF),

[J12] Murari Mandal, Manal Shah, Prashant Meena, Sanhita Devi, Santosh Kumar Vipparthi, “AVDNet: A SmallSized Vehicle Detection Network for Aerial Visual Data,” IEEE Geoscience and Remote Sensing Letters, 2019, (PDF),

[J11] Murari Mandal, Monu Verma, Sonakshi Mathur, Santosh Vipparthi, Subrahmanyam Murala, Kranthi Deveerasetty, "RADAP: Regional Adaptive Affinitive Patterns with Logical Operators for Facial Expression Recognition," IEEE/IET Image Processing, 2019, (PDF),

[J10] Monu Verma, Santosh Kumar Vipprathi, Girdhari Singh, "HiNet: Hybrid Inherited Feature Learning Network for Facial Expression Recognition ," IEEE Letters of the Computer Society, 2019, (PDF),

[J9] Maheep Singh, Mahesh C. Govil, Emmanuel S. Pilli, Santosh Kumar Vipparthi, "SOD-CED: salient object detection for noisy images using convolution encoder–decoder ," IEEE/IET Computer Vision, 2019, (PDF),

[C10] Murari Mandal, Manal Shah, Prashant Meena, Santosh Kumar Vipparthi, “SSSDet: Simple Short and Shallow Network for Resource Efficient Vehicle Detection in Aerial Scenes,” IEEE 26th International Conference on Image Processing (ICIP) (Core B), Taipei, Taiwan, 2019, (PDF).

[C9] Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal, Santosh Kumar Vipparthi, "Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos," In CVPR Workshops (CVPRW), Long Beach, California, US, 2019, (PDF).

[C8] Monu Verma, Prafulla saxena, Santosh Kumar Vipparthi, Girdhari Singh, S. K. Nagar, "DeFINet: PORTABLE CNN NETWORK FOR FACIAL EXPRESSION RECOGNITION," IEEE International Conference on Information and Communication Technology for Competitive Strategies, Udaipur, INDIA, 2019, (PDF).

[C7] Shivangi Dwivedi, Murari Mandal, Shekhar Yadav, Santosh Kumar Vipparthi "3D CNN with Localized Residual Connections for Hyperspectral Image Classification," IEEE International Conference on Computer Vision and Image Processing (CVIP), jaipur, India, 2019, (PDF).

(Year: 2018)

[J8] Murari Mandal, Santosh Kumar Vipparthi, Mallika Chaudhary, Subramanian Murala, Anil Balaji Gonde, S. K. Nagar, "ANTIC: ANTithetic Isomeric Cluster Patterns for Medical Image Retrieval and Change Detection," IEEE/IET Computer Vision, 2018, (PDF),

[C6] Murari Mandal, Prafulla Saxena, Santosh Kumar Vipparthi, Subrahmanyam Murala, "CANDID: Robust Change Dynamics and Deterministic Update Policy for Dynamic Background Subtraction," IEEE 24th International Conference on Pattern Recognition (ICPR) (Core B), Beijing, China, 2018, (PDF).

[C5] Monu Verma, Prafulla Saxena, Santosh Kumar Vipparthi, Gridhari Singh, "QUEST: Quadriletral Senary bit Pattern for Facial Expression Recognition," IEEE International Conference on Systems, Man, and Cybernatics (SMC) (Core B), Miyazaki, Japan, 2018, (PDF).

[C4] Monu Verma, Jaspreet Kaur Bhui, Santosh Kumar Vipparthi, Girdhari Singh, "EXPERTNet: Exigent Features Preservative Network for Facial Expression Recogntion," ACM 11th International Conference on Computer Vision, Graphics and Image Processing (ICVGIP), Hyderabad, India, 2018, (PDF).

[C3] Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, "Region Based Extensive Response Index Pattern for Facial Expression Recognition," IEEE International Conference on Communication, Computing and Internet of Things, 2018, (PDF).

(Year: 2017)

[C2] Sonakshi Mathur, Mallika Chaudhary, Hemant Verma, Murari Mandal, Santosh Kumar Vipparthi, Subrahmanyam Murala, "Multichannel Distributed Local Pattern for Content Based Indexing and Retrieval," 14th IEEE India Council International Conference (INDICON), Roorkee, 2017, (PDF).

(Year: 2016)

[J7] Santosh Kumar Vipparthi, Subramanian Murala, Anil Balaji Gonde, Q. M. Jonathan Wu,"Local Directional Mask Maximum Edge Patterns for Image Retrieval and Face Recognition," IEEE/IET Computer Vision, 2016, (PDF),

[C1] Anil Balaji Gonde, Subrahmanyam Murala, Santosh Kumar Vipparthi, Rudra Prakash Maheshwari, R Balasubramanian, "3D Local Transform Patterns: A New Feature Descriptor for Image Retrieval," International Conference on Computer Vision and Image Processing (CVIP), Roorkee, 2016, (PDF).

(Year: 2014)

[J6] Santosh Kumar Vipparthi, S. K. Nagar,"Expert Image Retrieval system using Directional Local Motif XOR Patterns," Expert Systems with Applications, Elsevier, 2014, (PDF),

[J5] Santosh Kumar Vipparthi, Subrahmanyam Murala, S. K. Nagar and A. B. Gonde "Local Gabor Maximum Edge Position Octal Patterns for Image Indexing and Retrieval," Neurocomputing, Elsevier, 2014, (PDF),

[J4] Santosh Kumar Vipparthi, S. K. Nagar, "Multi-joint histogram based modelling for image indexing and retrieval, " Computers & Electrical Engineering, Elsevier, 2014, (PDF),

[J3] Santosh Kumar Vipparthi, S. K. Nagar, "Dual directional Multi-Motif XOR Patterns: A new Descriptor for Image Indexing and Retrieval,” International Journal for Light and Electron Optics, Elsevier,(PDF),

[J2] Santosh Kumar Vipparthi, S. K. Nagar “Colored Directional Local Quinary Patterns for Multimedia Image Indexing and Retrieval”, Human-centric Computing and Information Sciences, Springer, 2014, (PDF),

[J1] Santosh Kumar Vipparthi, S. K. Nagar, "Integration of Color and Local Derivative Pattern Features for Content-Based Image Indexing and Retrieval, ” Journal of the Institution of Engineers (India): Series B, Springer, 2014, (PDF).