Alex Kendall
11 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21) π Conference Polyglot (5) π Academic Marathon (9) π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Academic Marathon
(9)
β‘
Prolific Year
(5)
π
Century Club
(11)
β
The Questioner
π
Trend Setter
Conferences
ICCV (3)
NIPS (3)
CVPR (2)
ECCV (2)
IJCAI (1)
Top co-authors
Keywords
bayesian deep learning
(3)
semantic segmentation
(3)
uncertainty quantification
(2)
convolutional neural network
(2)
variational inference
(1)
transfer learning
(1)
pose estimation
(1)
epistemic uncertainty
(1)
model-based learning
(1)
autonomous driving
(1)
depth estimation
(1)
bird's eye view
(1)
future prediction
(1)
instance segmentation
(1)
continuous relaxation
(1)
latent space
(1)
autonomous vehicle
(1)
uncertainty estimation
(1)
camera pose regression
(1)
pose regression
(1)
Papers
LingoQA: Video Question Answering for Autonomous Driving
ECCV 2024
Model-Based Imitation Learning for Urban Driving
NIPS 2022
FIERY: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras
ICCV 2021
Probabilistic Future Prediction for Video Scene Understanding
ECCV 2020
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
CVPR 2018
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
IJCAI 2017
Concrete Dropout
NIPS 2017
Geometric Loss Functions for Camera Pose Regression With Deep Learning
CVPR 2017
End-To-End Learning of Geometry and Context for Deep Stereo Regression
ICCV 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
NIPS 2017
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
ICCV 2015