2 citations · 3 across the 5 of their papers we have counts for
4 papers · 1 filter
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Bipasha Sen, Aditya Agarwal, Gaurav Singh +3
Recovering full 3D shapes from partial observations is a challenging task that has been extensively addressed in the computer vision community. Many deep learning methods tackle th…
Towards MOOCs for Lipreading: Using Synthetic Talking Heads to Train Humans in Lipreading at Scale
Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay +2
Many people with some form of hearing loss consider lipreading as their primary mode of day-to-day communication. However, finding resources to learn or improve one's lipreading sk…
FaceOff: A Video-to-Video Face Swapping System
Aditya Agarwal, Bipasha Sen, Rudrabha Mukhopadhyay +2
Doubles play an indispensable role in the movie industry. They take the place of the actors in dangerous stunt scenes or scenes where the same actor plays multiple characters. The…
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation
Aditya Agarwal, Yupeng Han, Maxim Likhachev
Pose estimation of known objects is fundamental to tasks such as robotic grasping and manipulation. The need for reliable grasping imposes stringent accuracy requirements on pose e…