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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 2023Show all

4 papers · 1 filter

cs.CV2023

NOVIS: A Case for End-to-End Near-Online Video Instance Segmentation

Tim Meinhardt, Matt Feiszli, Yuchen Fan +2

Until recently, the Video Instance Segmentation (VIS) community operated under the common belief that offline methods are generally superior to a frame by frame online processing.…

cs.CV2023★ 1 cited

SiLK -- Simple Learned Keypoints

Pierre Gleize, Weiyao Wang, Matt Feiszli

Keypoint detection & descriptors are foundational tech-nologies for computer vision tasks like image matching, 3D reconstruction and visual odometry. Hand-engineered methods like H…

cs.CV2023★ 1 cited

MINOTAUR: Multi-task Video Grounding From Multimodal Queries

Raghav Goyal, Effrosyni Mavroudi, Xitong Yang +5

Video understanding tasks take many forms, from action detection to visual query localization and spatio-temporal grounding of sentences. These tasks differ in the type of inputs (…

cs.CV2023★ 6 cited

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

Hao Tang, Kevin Liang, Matt Feiszli +1

Visual object tracking is a key component to many egocentric vision problems. However, the full spectrum of challenges of egocentric tracking faced by an embodied AI is underrepres…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.