Peter M. Roth
12 papers · 2013–2022 · 3 venues · across top CS/AI venues
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Research topics
Keywords
object detection
(4)
random forest
(3)
nearest neighbor classifier
(2)
pose estimation
(2)
metric learning
(2)
prototype learning
(2)
ensemble learning
(2)
multi-object tracking
(2)
3d pose estimation
(2)
large margin classifier
(1)
gradient descent
(1)
discriminative learning
(1)
large margin
(1)
deep learning
(1)
object tracking
(1)
particle filter
(1)
multi-view learning
(1)
multi-class classification
(1)
pattern classification
(1)
explainable ai
(1)
Papers
OccAM's Laser: Occlusion-Based Attribution Maps for 3D Object Detectors on LiDAR Data
CVPR 2022
Geometric Correspondence Fields: Learned Differentiable Rendering for 3D Pose Refinement in the Wild
ECCV 2020
GP2C: Geometric Projection Parameter Consensus for Joint 3D Pose and Focal Length Estimation in the Wild
ICCV 2019
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
CVPR 2018
Learning to Align Semantic Segmentation and 2.5D Maps for Geolocalization
CVPR 2017
Accurate Object Detection with Joint Classification-Regression Random Forests
CVPR 2014
Occlusion Geodesics for Online Multi-Object Tracking
CVPR 2014
Alternating Decision Forests
CVPR 2013
Alternating Regression Forests for Object Detection and Pose Estimation
ICCV 2013
Joint Learning of Discriminative Prototypes and Large Margin Nearest Neighbor Classifiers
ICCV 2013
Optimizing 1-Nearest Prototype Classifiers
CVPR 2013
Robust Real-Time Tracking of Multiple Objects by Volumetric Mass Densities
CVPR 2013