Peter V. Gehler
14 papers · 1999–2022 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🌟
Keyword Trendsetter Combo
(3)
🧬
Topic Evolution
🧭
Keyword Pioneer
🗃️
Keyword Collector
(69)
🚀
Conference Pioneer
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(10)
Computer Vision
(8)
Analysis
(6)
Core Methods
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Processing
(4)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Core AI
(3)
Learning Types · Machine Learning
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Science
(1)
Application Areas
(1)
Keywords
convolutional neural network
(3)
reflectance estimation
(2)
latent variable
(2)
pose estimation
(2)
image decomposition
(2)
human pose
(2)
transfer learning
(1)
domain generalization
(1)
adversarial robustness
(1)
video segmentation
(1)
model calibration
(1)
model fitting
(1)
human pose estimation
(1)
object tracking
(1)
sparse learning
(1)
nonparametric bayesian
(1)
markov chain monte carlo
(1)
landmark detection
(1)
human motion
(1)
neural architecture
(1)
Papers
Assaying Out-Of-Distribution Generalization in Transfer Learning
NeurIPS 2022
Backward-Compatible Prediction Updates: A Probabilistic Approach
NeurIPS 2021
Dynamic Inference with Neural Interpreters
NeurIPS 2021
A Generative Model of People in Clothing
ICCV 2017
Reflectance Adaptive Filtering Improves Intrinsic Image Estimation
CVPR 2017
Semantic Video CNNs Through Representation Warping
ICCV 2017
Unite the People: Closing the Loop Between 3D and 2D Human Representations
CVPR 2017
Video Propagation Networks
CVPR 2017
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
CVPR 2016
Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks
CVPR 2016
Efficient Nonlinear Markov Models for Human Motion
CVPR 2014
A Non-parametric Bayesian Network Prior of Human Pose
ICCV 2013
Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance
NeurIPS 2011
Deterministic Annealing for Multiple-Instance Learning
AISTATS 1999