5 citations · 12 across the 18 of their papers we have counts for
8 papers · 1 filter
DeepObjStyle: Deep Object-based Photo Style Transfer
Indra Deep Mastan, Shanmuganathan Raman
One of the major challenges of style transfer is the appropriate image features supervision between the output image and the input (style and content) images. An efficient strategy…
DILIE: Deep Internal Learning for Image Enhancement
Indra Deep Mastan, Shanmuganathan Raman
We consider the generic deep image enhancement problem where an input image is transformed into a perceptually better-looking image. Recent methods for image enhancement consider t…
DeepCFL: Deep Contextual Features Learning from a Single Image
Indra Deep Mastan, Shanmuganathan Raman
Recently, there is a vast interest in developing image feature learning methods that are independent of the training data, such as deep image prior, InGAN, SinGAN, and DCIL. These…
Blind Motion Deblurring through SinGAN Architecture
Harshil Jain, Rohit Patil, Indra Deep Mastan +1
Blind motion deblurring involves reconstructing a sharp image from an observation that is blurry. It is a problem that is ill-posed and lies in the categories of image restoration…
Learning to Sort Image Sequences via Accumulated Temporal Differences
Gagan Kanojia, Shanmuganathan Raman
Consider a set of n images of a scene with dynamic objects captured with a static or a handheld camera. Let the temporal order in which these images are captured be unknown. There…
Yoga-82: A New Dataset for Fine-grained Classification of Human Poses
Manisha Verma, Sudhakar Kumawat, Yuta Nakashima +1
Human pose estimation is a well-known problem in computer vision to locate joint positions. Existing datasets for the learning of poses are observed to be not challenging enough in…