Published in Accepted - ACM Surveys, 2025
This paper explores the explicit modeling of geometric constraints in Deep Learning frameworks centered around depth estimation and stereo problems.
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Published in International Conference on Cased-Based Reasoning (ICCBR), 2025
This paper explores various proxy function that can be integrated with deep learning frameworks to learn image features more suitable for a case-based reasoning (CBR) systems
Published in Published @Elsevier, 2024
A survey paper on multi-view 3D reconstruction methods.
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Published in ICCBR-24, 2024
This paper explores the integration of CBR system with pre-trained DL models.
Published in Accepted @WACV-24, 2023
This paper explores the explicit modeling of geometric constraints in multi-view stereo systems.
Published in ICCBR-23, 2023
This paper explores the integration of CBR system with DL models.
Published in AAAI-22, 2021
This paper delves deep into the theory of knowledge distillation in a teach-student pair network and discusses ways to perform better distillation to student network.
Published in Springer, Singapore, 2018
This paper uses machine learning techniques to mitigate the effect of communication link failure by predicting the missing parameters using various ML algorithms.
Published in IEEE Xplore, 2018
This paper is about using data driven approach to forecast electrical load for very short-term, short-term and mid-term load in academic building types