E-LIB Suche - Ergebnisse für: Desai, Sai Vikas

1

CARE: Counterfactual-based Algorithmic Recourse for Explain..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Dittakavi, Bhat ; Callepalli, Bharathi ; Vardhan, Aleti.. - p. 4890-4899 , 2024

Link: https://doi.org/10.1109/..

2

Pose Tutor: An Explainable System for Pose Correction in th..:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Dittakavi, Bhat ; Bavikadi, Divyagna ; Desai, Sai Vikas... - p. 3539-3548 , 2022

Link: https://doi.org/10.1109/..

3

How Useful Is Image-Based Active Learning for Plant Organ S..:

Rawat, Shivangana ; Chandra, Akshay L. ; Desai, Sai Vikas...
Plant Phenomics. 2022 (2022) - p. , 2022

Link: https://doi.org/10.34133..

4

Efficient Maize Tassel-Detection Method using UAV based rem..:

Kumar, Ajay ; Desai, Sai Vikas ; Balasubramanian, Vineeth N....
Remote Sensing Applications: Society and Environment. 23 (2021) - p. 100549 , 2021

Link: https://doi.org/10.1016/..

5

Active learning with point supervision for cost-effective p..:

Chandra, Akshay L. ; Desai, Sai Vikas ; Balasubramanian, Vineeth N...
Plant Methods. 16 (2020) 1 - p. , 2020

Link: https://doi.org/10.1186/..

6

Automatic estimation of heading date of paddy rice using de..:

Desai, Sai Vikas ; Balasubramanian, Vineeth N. ; Fukatsu, Tokihiro..
Plant Methods. 15 (2019) 1 - p. , 2019

Link: https://doi.org/10.1186/..

7

Towards Fine-grained Sampling for Active Learning in Object..:

, In: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Vikas Desai, Sai ; Balasubramanian, Vineeth N - p. 4010-4014 , 2020

Link: https://doi.org/10.1109/..

8

How Useful Is Image-Based Active Learning for Plant Organ S..:

Rawat, Shivangana ; Chandra, Akshay L ; Desai, Sai Vikas.
http://raiith.iith.ac.in/9876/1/Plant_Phenomics.pdf. , 2022

Link: http://raiith.iith.ac.in..

9

Computer Vision with Deep Learning for Plant Phenotyping in..:

Chandra, Akshay L ; Desai, Sai Vikas ; Guo, Wei.
http://arxiv.org/abs/2006.11391. , 2020

Link: http://arxiv.org/abs/200..

10

Active learning with point supervision for cost-effective p..:

Chandra, Akshay L ; Desai, Sai Vikas ; Balasubramanian, Vineeth N..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7060654/. , 2020

Link: http://www.ncbi.nlm.nih...

11

On Initial Pools for Deep Active Learning:

Chandra, Akshay L ; Desai, Sai Vikas ; Devaguptapu, Chaitanya.
http://arxiv.org/abs/2011.14696. , 2020

Link: http://arxiv.org/abs/201..

12

An Adaptive Supervision Framework for Active Learning in Ob..:

Desai, Sai Vikas ; Chandra, Akshay L ; Guo, Wei..
http://arxiv.org/abs/1908.02454. , 2019

Link: http://arxiv.org/abs/190..

13

Automatic estimation of heading date of paddy rice using de..:

Desai, Sai Vikas ; Balasubramanian, Vineeth N ; Fukatsu, Tokihiro..
http://arxiv.org/abs/1906.07917. , 2019

Link: http://arxiv.org/abs/190..

14

Active Learning with Point Supervision for Cost-Effective P..:

Chandra, Akshay L ; Desai, Sai Vikas ; Balasubramanian, Vineeth N..
http://arxiv.org/abs/1910.01789. , 2019

Link: http://arxiv.org/abs/191..

15

How Useful Is Image-Based Active Learning for Plant Organ S..:

Shivangana Rawat ; Akshay L. Chandra ; Sai Vikas Desai...
http://dx.doi.org/10.34133/2022/9795275. , 2022

Link: https://doi.org/10.34133..