2 citations · 3 across the 4 of their papers we have counts for
6 papers
Self-supervised learning of audio representations using angular contrastive loss
Shanshan Wang, Soumya Tripathy, Annamaria Mesaros
In Self-Supervised Learning (SSL), various pretext tasks are designed for learning feature representations through contrastive loss. However, previous studies have shown that this…
Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
Soumya Tripathy, Juho Kannala, Esa Rahtu
Image reenactment is a task where the target object in the source image imitates the motion represented in the driving image. One of the most common reenactment tasks is face image…
FACEGAN: Facial Attribute Controllable rEenactment GAN
Soumya Tripathy, Juho Kannala, Esa Rahtu
The face reenactment is a popular facial animation method where the person's identity is taken from the source image and the facial motion from the driving image. Recent works have…
ICface: Interpretable and Controllable Face Reenactment Using GANs
Soumya Tripathy, Juho Kannala, Esa Rahtu
This paper presents a generic face animator that is able to control the pose and expressions of a given face image. The animation is driven by human interpretable control signals c…
Learning image-to-image translation using paired and unpaired training samples
Soumya Tripathy, Juho Kannala, Esa Rahtu
Image-to-image translation is a general name for a task where an image from one domain is converted to a corresponding image in another domain, given sufficient training data. Trad…
MusculoSkeletal Modeling Using Kinect Data For Telerehabilitation
Rajat Kumar Das, Soumya Ranjan Tripathy, Kingshuk Chakravarty +3
Balance, gait and postural control are some of the key factors in determining the overall stability of an individual. Several highend and costly solutions exist to perform movement…