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Raquel Urtasun — most-cited papers & profile · Computer Vision
← authors
·
overview
Raquel Urtasun
26
papers ·
1903
citations ·
107
h-index
Universidad Publica de Navarra
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks
2017 · 827 citations
Deep Continuous Fusion for Multi-Sensor 3D Object Detection
2020 · 431 citations
HDNET: Exploiting HD Maps for 3D Object Detection
2020 · 244 citations
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
2016 · 49 citations
Deep Watershed Transform for Instance Segmentation
2016 · 36 citations
Self-Supervised Representation Learning from Flow Equivariance
2021 · 24 citations
UPSNet: A Unified Panoptic Segmentation Network
2019 · 18 citations
Dense RepPoints: Representing Visual Objects with Dense Point Sets
2019 · 16 citations
DARNet: Deep Active Ray Network for Building Segmentation
2019 · 13 citations
LoCo: Local Contrastive Representation Learning
2020 · 10 citations
PnPNet: End-to-End Perception and Prediction with Tracking in the Loop
2020 · 8 citations
Multi-Task Multi-Sensor Fusion for 3D Object Detection
2020 · 8 citations
SurfConv: Bridging 3D and 2D Convolution for RGBD Images
2018 · 3 citations
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
2019 · 1 citations
VideoClick: Video Object Segmentation with a Single Click
2021
Top co-authors
Bin Yang
· 4
Ming Liang
· 4
Rui Hu
· 4
Wei-Chiu Ma
· 4
Sanja Fidler
· 3
Shenlong Wang
· 3
Yuwen Xiong
· 3
Kaustav Kundu
· 2
Mengye Ren
· 2
Min Bai
· 2
Renjie Liao
· 2
Wenyuan Zeng
· 2
Topics
Object Detection
Autonomous Driving
Segmentation
3D Vision
Image Generation
Video Understanding
cs.NE
eess.IV
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