3 citations · 3 across the 8 of their papers we have counts for
9 papers · 1 filter
GAN Based Top-Down View Synthesis in Reinforcement Learning Environments
Usama Younus, Vinoj Jayasundara, Shivam Mishra +1
Human actions are based on the mental perception of the environment. Even when all the aspects of an environment are not visible, humans have an internal mental model that can gene…
Chop & Learn: Recognizing and Generating Object-State Compositions
Nirat Saini, Hanyu Wang, Archana Swaminathan +4
Recognizing and generating object-state compositions has been a challenging task, especially when generalizing to unseen compositions. In this paper, we study the task of cutting o…
FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
Vinoj Jayasundara, Amit Agrawal, Nicolas Heron +2
We present FlexNeRF, a method for photorealistic freeviewpoint rendering of humans in motion from monocular videos. Our approach works well with sparse views, which is a challengin…
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
Dishanika Denipitiyage, Vinoj Jayasundara, Ranga Rodrigo +1
Raw point cloud processing using capsule networks is widely adopted in classification, reconstruction, and segmentation due to its ability to preserve spatial agreement of the inpu…
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta, Gowthami Somepalli, Anubhav Gupta +3
We study a referential game (a type of signaling game) where two agents communicate with each other via a discrete bottleneck to achieve a common goal. In our referential game, the…
FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition
Vinoj Jayasundara, Debaditya Roy, Basura Fernando
Capsule networks (CapsNets) have recently shown promise to excel in most computer vision tasks, especially pertaining to scene understanding. In this paper, we explore CapsNet's ca…