◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Matt Feiszli

31 papers hereh-index 203.3k citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author19
  • last author8

Across the 29 of 31 papers where every author was matched, so the position is known.

fields
  • cs.CV27
  • cs.AI1
  • cs.LG1
  • cs.RO1
  • math.CV1
same name
  • Matt Feiszli — 3 papers, h 3
  • Matt Feiszli — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedVideo Classification with Channel-Separated Convolutional Networks

84 citations · 150 across the 26 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 1 cited

PyTorchVideo: A Deep Learning Library for Video Understanding

Haoqi Fan, Tullie Murrell, Heng Wang +13

We introduce PyTorchVideo, an open-source deep-learning library that provides a rich set of modular, efficient, and reproducible components for a variety of video understanding tas…

cs.CV2021

Searching for Two-Stream Models in Multivariate Space for Video Recognition

Xinyu Gong, Heng Wang, Zheng Shou +3

Conventional video models rely on a single stream to capture the complex spatial-temporal features. Recent work on two-stream video models, such as SlowFast network and AssembleNet…

cs.CV2021

Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation

Weiyao Wang, Matt Feiszli, Heng Wang +1

Current state-of-the-art object detection and segmentation methods work well under the closed-world assumption. This closed-world setting assumes that the list of object categories…

cs.CV2021★ 1 cited

Generic Event Boundary Detection: A Benchmark for Event Segmentation

Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang +2

This paper presents a novel task together with a new benchmark for detecting generic, taxonomy-free event boundaries that segment a whole video into chunks. Conventional work in te…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.