Justin Liang
6 papers · 2017–2022 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
π
Conference Pioneer
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Research topics
Keywords
3d reconstruction
(1)
semantic segmentation
(1)
curriculum learning
(1)
lane detection
(1)
autonomous driving
(1)
instance segmentation
(1)
graphical model
(1)
convolutional neural network
(1)
test-time optimization
(1)
lidar point cloud
(1)
spatial transformer
(1)
mask prediction
(1)
object boundary
(1)
shape prior
(1)
convolutional recurrent neural network
(1)
convolutional recurrent network
(1)
hd map
(1)
latent code optimization
(1)
neural network
(1)
polygon transformer
(1)
Papers
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild
WACV 2022
PolyTransform: Deep Polygon Transformer for Instance Segmentation
CVPR 2020
Convolutional Recurrent Network for Road Boundary Extraction
CVPR 2019
DAGMapper: Learning to Map by Discovering Lane Topology
ICCV 2019
End-to-End Deep Structured Models for Drawing Crosswalks
ECCV 2018
TorontoCity: Seeing the World With a Million Eyes
ICCV 2017