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ORCIDSai Vikas Desai
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2020 – today
- 2024
[c5]Bhat Dittakavi, Bharathi Callepalli, Aleti Vardhan, Sai Vikas Desai, Vineeth N. Balasubramanian:
CARE: Counterfactual-based Algorithmic Recourse for Explainable Pose Correction. WACV 2024: 4890-4899- 2022
- [c4]Bhat Dittakavi, Divyagna Bavikadi, Sai Vikas Desai, Soumi Chakraborty, Nishant Reddy, Vineeth N. Balasubramanian, Bharathi Callepalli, Ayon Sharma:
Pose Tutor: An Explainable System for Pose Correction in the Wild. CVPR Workshops 2022: 3539-3548 - 2020
- [c3]Sai Vikas Desai, Vineeth N. Balasubramanian:
Towards Fine-grained Sampling for Active Learning in Object Detection. CVPR Workshops 2020: 4010-4014 - [c2]Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. Preregister@NeurIPS 2020: 14-32 - [i5]Akshay L. Chandra, Sai Vikas Desai, Wei Guo, Vineeth N. Balasubramanian:
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey. CoRR abs/2006.11391 (2020) - [i4]Akshay L. Chandra, Sai Vikas Desai, Chaitanya Devaguptapu, Vineeth N. Balasubramanian:
On Initial Pools for Deep Active Learning. CoRR abs/2011.14696 (2020)
2010 – 2019
- 2019
- [c1]Sai Vikas Desai, Akshay Chandra Lagandula, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. BMVC 2019: 230 - [i3]Sai Vikas Desai, Vineeth N. Balasubramanian, Tokihiro Fukatsu, Seishi Ninomiya, Wei Guo:
Automatic estimation of heading date of paddy rice using deep learning. CoRR abs/1906.07917 (2019) - [i2]Sai Vikas Desai, Akshay L. Chandra, Wei Guo, Seishi Ninomiya, Vineeth N. Balasubramanian:
An Adaptive Supervision Framework for Active Learning in Object Detection. CoRR abs/1908.02454 (2019) - [i1]Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo:
Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. CoRR abs/1910.01789 (2019)
Coauthor Index
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