Erik Learned-Miller
25 papers · 2012–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Keyword Trendsetter Combo
(3)
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
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Conference Pioneer
ποΈ
Keyword Collector
(106)
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Trend Setter
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Century Club Β· Bronze
Top co-authors
Research topics
Computer Vision
(13)
Machine Learning
(9)
Analysis
(9)
Processing
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(5)
Artificial Intelligence
(3)
Mathematics & Optimization
(3)
Architectures
(3)
Core Methods
(3)
Learning Types Β· Machine Learning
(3)
Application Areas
(2)
Core AI Β· Artificial Intelligence
(2)
Core AI Β· Computer Vision
(2)
Generation
(2)
Keywords
convolutional neural network
(5)
optical flow
(4)
conditional random field
(3)
shape prior
(2)
conditional value at risk
(2)
self-supervised learning
(2)
statistical learning
(2)
motion estimation
(2)
motion segmentation
(2)
semantic segmentation
(1)
domain adaptation
(1)
risk management
(1)
pose estimation
(1)
feature extraction
(1)
stochastic gradient descent
(1)
unsupervised learning
(1)
temporal modeling
(1)
event camera
(1)
off-policy evaluation
(1)
representation learning
(1)
Papers
Human Pose Aggregation for Multi-View Temporal Video Alignment
WACV 2026
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
AISTATS 2025
DCVNet: Dilated Cost Volume Networks for Fast Optical Flow
WACV 2023
Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes
ICCV 2023
The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data
ICCV 2021
Towards Practical Mean Bounds for Small Samples
ICML 2021
Universal Off-Policy Evaluation
NeurIPS 2021
Improving Face Recognition by Clustering Unlabeled Faces in the Wild
ECCV 2020
In Defense of Grid Features for Visual Question Answering
CVPR 2020
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
ECCV 2020
Automatic Adaptation of Object Detectors to New Domains Using Self-Training
CVPR 2019
Concentration Inequalities for Conditional Value at Risk
ICML 2019
Pixel-Adaptive Convolutional Neural Networks
CVPR 2019
SENSE: A Shared Encoder Network for Scene-Flow Estimation
ICCV 2019
Self-Supervised Relative Depth Learning for Urban Scene Understanding
ECCV 2018
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
CVPR 2018
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation
CVPR 2018
Unsupervised Hard Example Mining from Videos for Improved Object Detection
ECCV 2018
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
NeurIPS 2017
End-To-End Face Detection and Cast Grouping in Movies Using Erdos-Renyi Clustering
ICCV 2017
Multi-View Convolutional Neural Networks for 3D Shape Recognition
ICCV 2015
The Shape-Time Random Field for Semantic Video Labeling
CVPR 2014
Augmenting CRFs with Boltzmann Machine Shape Priors for Image Labeling
CVPR 2013
Coherent Motion Segmentation in Moving Camera Videos Using Optical Flow Orientations
ICCV 2013
Bounding the Probability of Error for High Precision Optical Character Recognition
JMLR 2012