Akshay V. Gaikwad

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 4

Top Topics

Variational Segmentation

Object Segmentation

Region Based Segmentation

Supervised Learning

Top Venues

Publications

Akshay V. Gaikwad, Harshit Varma, Suyash P. Awate
Deep Variational Segmentation of Topology-Constrained Object Sets, with Correlated Uncertainty Models, for Robustness to Degradations. ICIP (2023)
Harshit Varma, Akshay V. Gaikwad, Suyash P. Awate
Adversarial Training with Multiscale Boundary-Prediction DNN for Robust Topologically-Constrained Segmentation in OOD Images. ISBI (2023)
Akshay V. Gaikwad, Suyash P. Awate
Deep MCEM for Weakly-Supervised Learning to Jointly Segment and Recognize Objects Using Very Few Expert Segmentations. IPMI (2021)
Saurabh J. Shigwan, Akshay V. Gaikwad, Suyash P. Awate
Object Segmentation with Deep Neural Nets Coupled with a Shape Prior, When Learning From a Training set of Limited Quality and Small Size. ISBI (2020)
Akshay V. Gaikwad, Saurabh J. Shigwan, Suyash P. Awate
A Statistical Model for Smooth Shapes in Kendall Shape Space. MICCAI (3) (2015)