Michael Lindenbaum
9 papers · 2012–2025 · 4 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (4) ๐ Academic Marathon (13) ๐ Cross-Pollinator (9)
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Conference Polyglot
(4)
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Academic Marathon
(13)
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Cross-Pollinator
(9)
๐งฌ
Topic Evolution
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Trend Setter
๐๏ธ
Keyword Collector
(50)
Conferences
CVPR (3)
NIPS (3)
ICCV (2)
ECCV (1)
Top co-authors
Research topics
Keywords
metric learning
(2)
high-dimensional datum
(2)
convolutional neural network
(2)
convex optimization
(2)
density estimation
(2)
kernel methods
(2)
image denoising
(1)
deep learning
(1)
change detection
(1)
hierarchical clustering
(1)
3d vision
(1)
high-dimensional data
(1)
anomaly detection
(1)
multi-scale analysis
(1)
edge detection
(1)
point cloud
(1)
nonparametric statistics
(1)
graph embedding
(1)
distribution shift
(1)
reproducing kernel hilbert space
(1)
Papers
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions
ICCV 2025
Enhancing Generic Segmentation With Learned Region Representations
CVPR 2020
DPDist: Comparing Point Clouds Using Deep Point Cloud Distance
ECCV 2020
Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
CVPR 2019
Increasing CNN Robustness to Occlusions by Reducing Filter Support
ICCV 2017
Approximating Hierarchical MV-sets for Hierarchical Clustering
NIPS 2014
q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions
NIPS 2013
Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data
NIPS 2012