Sangil Jung
4 papers · 2019–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(11)
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Research topics
Keywords
model compression
(2)
representation learning
(1)
lane detection
(1)
instance segmentation
(1)
convolutional neural network
(1)
recurrent neural network
(1)
memory efficiency
(1)
autonomous vehicle
(1)
weight quantization
(1)
deep network
(1)
hd map
(1)
activation quantization
(1)
vectorized map
(1)
hd map construction
(1)
raster scanning
(1)
tiny model
(1)
ultra-low power
(1)
neural network quantization
(1)
quantized network
(1)
Papers
HIMap: HybrId Representation Learning for End-to-end Vectorized HD Map Construction
CVPR 2024
MapDistill: Boosting Efficient Camera-based HD Map Construction via Camera-LiDAR Fusion Model Distillation
ECCV 2024
RaScaNet: Learning Tiny Models by Raster-Scanning Images
CVPR 2021
Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss
CVPR 2019