1 citations · 1 across the 4 of their papers we have counts for
4 papers
FODVid: Flow-guided Object Discovery in Videos
Silky Singh, Shripad Deshmukh, Mausoom Sarkar +3
Segmentation of objects in a video is challenging due to the nuances such as motion blurring, parallax, occlusions, changes in illumination, etc. Instead of addressing these nuance…
Parameter Efficient Local Implicit Image Function Network for Face Segmentation
Mausoom Sarkar, Nikitha SR, Mayur Hemani +2
Face parsing is defined as the per-pixel labeling of images containing human faces. The labels are defined to identify key facial regions like eyes, lips, nose, hair, etc. In this…
UMFuse: Unified Multi View Fusion for Human Editing applications
Rishabh Jain, Mayur Hemani, Duygu Ceylan +4
Numerous pose-guided human editing methods have been explored by the vision community due to their extensive practical applications. However, most of these methods still use an ima…
VGFlow: Visibility guided Flow Network for Human Reposing
Rishabh Jain, Krishna Kumar Singh, Mayur Hemani +4
The task of human reposing involves generating a realistic image of a person standing in an arbitrary conceivable pose. There are multiple difficulties in generating perceptually a…