273 citations · 507 across the 16 of their papers we have counts for
8 papers · 1 filter
4D-Net for Learned Multi-Modal Alignment
AJ Piergiovanni, Vincent Casser, Michael S. Ryoo +1
We present 4D-Net, a 3D object detection approach, which utilizes 3D Point Cloud and RGB sensing information, both in time. We are able to incorporate the 4D information by perform…
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang, Michael S. Ryoo
Humans learn to imitate by observing others. However, robot imitation learning generally requires expert demonstrations in the first-person view (FPV). Collecting such FPV videos f…
Unsupervised Discovery of Actions in Instructional Videos
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo +1
In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos. Instructional videos contain complex activities a…
Unsupervised Action Segmentation for Instructional Videos
AJ Piergiovanni, Anelia Angelova, Michael S. Ryoo +1
In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos, which are rarely annotated with atomic actions. W…
Adaptive Intermediate Representations for Video Understanding
Juhana Kangaspunta, AJ Piergiovanni, Rico Jonschkowski +2
A common strategy to video understanding is to incorporate spatial and motion information by fusing features derived from RGB frames and optical flow. In this work, we introduce a…
Coarse-Fine Networks for Temporal Activity Detection in Videos
Kumara Kahatapitiya, Michael S. Ryoo
In this paper, we introduce Coarse-Fine Networks, a two-stream architecture which benefits from different abstractions of temporal resolution to learn better video representations…