paper-with-me

Papers

A torus model for optical flow

2018-11-09 · Henry Adams, Johnathan Bush, Brittany Carr, Lara Kassab, Joshua Mirth

We propose a torus model for high-contrast patches of optical flow. Our model is derived from a database of ground-truth optical flow from the computer-generated video \emph{Sintel}, collected by Butler et al.\ in \emph{A naturalistic open source movie for optical flow evaluation}. Using persistent homology and zigzag persistence, popular tools from the field of computational topology, we show that the high-contrast $3\times 3$ patches from this video are well-modeled by a \emph{torus}, a nonlinear 2-dimensional manifold. Furthermore, we show that the optical flow torus model is naturally equipped with the structure of a fiber bundle, related to the statistics of range image patches.

📄 PDF Abstract BibTeX arXiv:1812.00875

Code (1)

https://bitbucket.org/Cross_Product/optical_flow 공식 구현

Tasks

modelOptical Flow Estimation

Similar Papers 제목 키워드 기반

An Extended Topological Model For High-Contrast Optical Flow

2026-03-06 · Brad Turow, Jose A. Perea arxiv

In this paper, we identify low-dimensional models for dense core subsets in the space of $3\times 3$ high-contrast optical flow patches sampled from the Sintel dataset. In particular, we leverage the theory of approximat…

Object Segmentation

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings

2023-04-04 · Norman P. Jouppi, George Kurian, Sheng Li, Peter Ma 외

In response to innovations in machine learning (ML) models, production workloads changed radically and rapidly. TPU v4 is the fifth Google domain specific architecture (DSA) and its third supercomputer for such ML models…

Torus embeddings

2026-03-03 · Dan Stowell arxiv

Many data representations are vectors of continuous values. In particular, deep learning embeddings are data-driven representations, typically either unconstrained in Euclidean space, or constrained to a hypersphere. The…

Swing: Short-cutting Rings for Higher Bandwidth Allreduce

2024-01-17 · Daniele De Sensi, Tommaso Bonato, David Saam, Torsten Hoefler

The allreduce collective operation accounts for a significant fraction of the runtime of workloads running on distributed systems. One factor determining its performance is the distance between communicating nodes, espec…

MöbiusE: Knowledge Graph Embedding on Möbius Ring

2021-01-07 · Yao Chen, Jiangang Liu, Zhe Zhang, Shiping Wen 외

In this work, we propose a novel Knowledge Graph Embedding (KGE) strategy, called M\"{o}biusE, in which the entities and relations are embedded to the surface of a M\"{o}bius ring. The proposition of such a strategy is i…

Graph EmbeddingKnowledge Graph Embedding