(no subject)

[am]

"The 10 coolest papers
from CVPR 2018." v.TDS.

J. Tremblay, et al. NVIDIA
(2018) "Training Deep Networks
with Synthetic Data: Bridging
the Reality Gap by Domain
Randomization." See also.

A. Ignatov, et al. (2017)
"WESPE: Weakly Supervised
Photo Enhancer for Digital
Cameras." Project page.

D. Acuna, et al. (2018)
"Efficient Interactive
Annotation of Segmentation
Datasets with Polygon-RNN++".

W.-L. Hsiao, K. Grauman (2018)
"Creating Capsule Wardrobes
from Fashion Images."

H. Jiang, et al. (2018)
"Super SloMo: High Quality
Estimation of Multiple Inter-
mediate Frames for Video
Interpolation." Videos.

K. Ehsani, et al. (2018)
"Who Let The Dogs Out?
Modeling Dog Behavior
From Visual Data."

R. Hu, et al. (2018)
"Learning to Segment
Every Thing."

K. Rematas, et al. (2018)
"Soccer on Your Tabletop."
The project and videos.

C. Zou, et al. (2018)
"LayoutNet: Reconstructing
the 3D Room Layout from
a Single RGB Image."

B. Zoph, et al. (2018)
"Learning Transferable
Architectures for Scala-
ble Image Recognition."

All CVPR'2018 papers.