end-to-end learning of representations for asynchronous event-based data (iccv'19)
Published 5 years ago • 3.9K plays • Length 1:42Download video MP4
Download video MP3
Similar videos
-
1:40
event-based asynchronous sparse convolutional networks
-
7:56
event-based asynchronous sparse convolutional networks (eccv 2020 presentation)
-
6:03
event-based angular velocity regression with spiking networks (icra20 video pitch)
-
4:37
time lens : event-based frame interpolation with parametric flow and multi-scale fusion (cvpr 2022)
-
20:35
efficient, data-driven perception with event cameras (ph.d. defense of daniel gehrig)
-
21:51
data-driven methods for event cameras (ph.d. defense of mathias gehrig)
-
1:51
learning monocular dense depth from events (3dv 2020)
-
3:37
e-raft: dense optical flow from event cameras (3dv 2021)
-
2:27
bridging the gap between events and frames through unsupervised domain adaptation
-
3:05
event-based vision for autonomous high-speed robotics
-
1:01
video to events: recycling video datasets for event cameras (cvpr20 1-min video pitch)
-
4:26
robotics and perception group on arte (german)
-
3:51
event-driven vision and control for uavs on a neuromorphic chip (intel loihi) - icra 2021
-
4:24
robotics and perception group on arte (french)