S
Stefano Soatto
Researcher at University of California, Los Angeles
Publications - 499
Citations - 27815
Stefano Soatto is an academic researcher from University of California, Los Angeles. The author has contributed to research in topics: Motion estimation & Image segmentation. The author has an hindex of 78, co-authored 499 publications receiving 23597 citations. Previous affiliations of Stefano Soatto include University of California & University of California, Davis.
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Meta-Q-Learning
TL;DR: Experiments on standard continuous-control benchmarks suggest that MQL compares favorably with the state of the art in meta-RL, and draws upon ideas in propensity estimation to do so and thereby amplifies the amount of available data for adaptation.
Proceedings ArticleDOI
Visual-Inertial-Semantic Scene Representation for 3D Object Detection
TL;DR: In this article, a system to detect objects in 3D space using video and inertial sensors (accelerometer and gyrometer), ubiquitous in modern mobile platforms from phones to drones, is described.
Posted Content
Toward Understanding Catastrophic Forgetting in Continual Learning.
TL;DR: It is shown that error rates are strongly and positively correlated to a task sequence's total complexity for some state-of-the-art algorithms and that the error rates have no or even negative correlations in some cases to sequential heterogeneity.
Journal ArticleDOI
Shape Matching Using Multiscale Integral Invariants
Byung-Woo Hong,Stefano Soatto +1 more
TL;DR: The integral kernels that characterize local shape geometry enable the shape signature to be robust with respect to undesirable perturbations while retaining discriminative power.
Proceedings ArticleDOI
Features for recognition: viewpoint invariance for non-planar scenes
Andrea Vedaldi,Stefano Soatto +1 more
TL;DR: Theoretical results empirically are illustrated by showing that, even for simple scenes, current affine descriptors fail where even a naive 3-D viewpoint invariant succeeds in matching.