Examining the impact of network architecture on extracted feature quality for CBR D Leake, Z Wilkerson, V Vats, K Acharya, D Crandall International Conference on Case-Based Reasoning, 3-18, 2023 | 8 | 2023 |
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo VK Vats, S Joshi, DJ Crandall, MA Reza, S Jung Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 5 | 2024 |
Very short-term9 short-term and mid-term load forecasting for residential academic institute: a case study VK Vats, S Rai, D Bharti, M De 2018 4th International Conference on Computing Communication and Automation …, 2018 | 2 | 2018 |
Controlling the Quality of Distillation in Response-Based Network Compression VK Vats, D Crandall AAAI- 22 Deep learning in the wild workshop, 2022 | 1 | 2022 |
Mitigating Effect of Communication Link Failure in Smart Meter-Based Load Forecasting VK Vats, S Rai, S De, M De Nanoelectronics, Circuits and Communication Systems: Proceeding of NCCS 2018 …, 2020 | 1 | 2020 |
Deep learning-based 3D reconstruction from multiple images: A survey C Wang, MA Reza, V Vats, Y Ju, N Thakurdesai, Y Wang, DJ Crandall, ... Neurocomputing 597, 128018, 2024 | | 2024 |
Extracting Indexing Features for CBR from Deep Neural Networks: A Transfer Learning Approach Z Wilkerson, D Leake, VK Vats, D Crandall International Conference on Case-Based Reasoning 2024, 2024 | | 2024 |
Geometric Constraints in Deep Learning Frameworks: A Survey VK Vats, DJ Crandall arXiv preprint arXiv:2403.12431, 2024 | | 2024 |
Method and apparatus for estimating depth information of images SH Jung, D Crandall, VK Vats, S Shubham, MA Reza, C Wang US Patent App. 18/297,396, 2023 | | 2023 |
RESPONSE-BASED KNOWLEDGE DISTILLATION VK Vats faculty of the University Graduate School in partial fulfillment of the …, 2021 | | 2021 |
Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo (Supplementary Materials) VK Vats, S Joshi, DJ Crandall, MA Reza, S Jung | | |