Ashutosh Kulkarni, Shruti Phutke, Santosh Vipparthi and Subrahmanyam Murala "C2AIR: Consolidated Compact Aerial Image Haze Removal" WACV-2024, Waikoloa, Hawaii, USA, 2024. (Accepted)

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

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Shruti Phutke, Ashutosh Kulkarni, Santosh Kumar V and Subrahmanyam Murala "Blind Image Inpainting via Omni-Dimensional Gated Attention and Wavelet Queries" CVPRw-2023, Vancouver, Canada, 1251-1260, 2023

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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

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

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

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

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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

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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

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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 Transporation Systems, 2021

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

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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

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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

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

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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 (ACM MM), Seattle, United States, 2020.

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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), Glasgow, United Kingdom, 2020. PDF

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Murari Mandal, Lav Kush Kumar, Mahipal Singh Saran, Santosh Kumar Vipparthi, “MotionRec: A Unified Deep Framework for Moving Object Recognition,” WACV, 2020, Colorado, US.

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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. .

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Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, Subrahmanyam Murala,“LEARNet: Dynamic Imaging Network for Micro Expression Recognition,” IEEE Transactions on image processing, 2020 .

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Monu Verma, Santosh Kumar Vipparthi, Girdhari Singh, "HiNet: Hybrid Inherited Feature Learning Network for Facial Expression Recognition ," IEEE Letters of the Computer Society, 2019.

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Kuldeep Marotirao Biradar, Ayushi Gupta, Murari Mandal, Santosh Kumar Vipparthi, "Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos," In CVPR Workshops (CVPRW-2019)

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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 (Impact Factor 3.966)

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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), Taipei, Taiwan, 2019