Wenyuan Zeng
13 papers · 2017–2022 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (24) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π€
Dynamic Duo
(11)
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Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
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Research topics
Machine Learning
(6)
Computer Vision
(5)
Core Methods
(4)
Domain-Specific
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Learning Types
(3)
Analysis
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
autonomous driving
(3)
trajectory prediction
(2)
neural network
(2)
active learning
(1)
representation learning
(1)
image segmentation
(1)
neural network compression
(1)
scene understanding
(1)
gaussian processes
(1)
self-supervised learning
(1)
relation extraction
(1)
motion forecasting
(1)
point cloud
(1)
feature learning
(1)
motion planning
(1)
video understanding
(1)
object tracking
(1)
sensor fusion
(1)
kernel learning
(1)
model compression
(1)
Papers
Rethinking Closed-Loop Training for Autonomous Driving
ECCV 2022
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes
CoRL 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks
CVPR 2021
Self-Supervised Representation Learning From Flow Equivariance
ICCV 2021
DSDNet: Deep Structured self-Driving Network
ECCV 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World
CVPR 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop
CVPR 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction
ECCV 2020
Weakly-supervised 3D Shape Completion in the Wild
ECCV 2020
End-To-End Interpretable Neural Motion Planner
CVPR 2019
Differentiable Compositional Kernel Learning for Gaussian Processes
ICML 2018
Learning to Reweight Examples for Robust Deep Learning
ICML 2018
Incorporating Relation Paths in Neural Relation Extraction
EMNLP 2017