Rene Ranftl
15 papers · 2013–2022 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Academic Marathon (9) π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (31)
πΊοΈ
Taxonomy Completionist
(31)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(12)
π
Conference Pioneer
π
Century Club
(15)
β
The Questioner
π
Trend Setter
π₯
Unstoppable
(7)
ποΈ
Keyword Collector
(63)
Conferences
CVPR (6)
ICCV (2)
ICLR (2)
CORL (1)
ECCV (1)
IJCAI (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
convolutional neural network
(3)
optical flow
(2)
acrobatic flight
(2)
convolutional network
(2)
depth estimation
(2)
reinforcement learning
(2)
sim-to-real transfer
(2)
quadrotor control
(2)
convex optimization
(2)
semantic segmentation
(2)
feature learning
(1)
motion estimation
(1)
event camera
(1)
image retrieval
(1)
vision transformer
(1)
contrastive learning
(1)
optimal control
(1)
computer vision
(1)
high-dimensional features
(1)
deep learning
(1)
Papers
Language-driven Semantic Segmentation
ICLR 2022
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning
NIPS 2021
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search
CVPR 2021
Vision Transformers for Dense Prediction
ICCV 2021
Deep Drone Acrobatics (Extended Abstract)
IJCAI 2021
Deep Drone Acrobatics
RSS 2020
High-Dimensional Convolutional Networks for Geometric Pattern Recognition
CVPR 2020
What Do Single-View 3D Reconstruction Networks Learn?
CVPR 2019
Deep Layers as Stochastic Solvers
ICLR 2019
Events-To-Video: Bringing Modern Computer Vision to Event Cameras
CVPR 2019
Deep Drone Racing: Learning Agile Flight in Dynamic Environments
CORL 2018
Deep Fundamental Matrix Estimation
ECCV 2018
Accurate Optical Flow via Direct Cost Volume Processing
CVPR 2017
Dense Monocular Depth Estimation in Complex Dynamic Scenes
CVPR 2016
Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation
ICCV 2013