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Deepak Mittal

2 accepted papers

2021

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning

IJCAI 2021poster

Recent semi-supervised learning (SSL) methods are predominantly focused on multi-class classification tasks. Classification tasks allow for easy mixing of class labels during augmentation which does not trivially extend to structured outputs such as word sequences that appear in tasks like image cap…

2020

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours

CVPR 2020poster

Contour shape alignment is a fundamental but challenging problem in computer vision, especially when the observations are partial, noisy, and largely misaligned. Recent ConvNet-based architectures that were proposed to align image structures tend to fail with contour representation of shapes, mostly…

Cited by 6PDFScholar