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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 2024Show all

4 papers · 1 filter

cs.CV2024★ 1 cited

OmniPose6D: Towards Short-Term Object Pose Tracking in Dynamic Scenes from Monocular RGB

Yunzhi Lin, Yipu Zhao, Fu-Jen Chu +6

To address the challenge of short-term object pose tracking in dynamic environments with monocular RGB input, we introduce a large-scale synthetic dataset OmniPose6D, crafted to mi…

cs.CV2024

ADen: Adaptive Density Representations for Sparse-view Camera Pose Estimation

Hao Tang, Weiyao Wang, Pierre Gleize +1

Recovering camera poses from a set of images is a foundational task in 3D computer vision, which powers key applications such as 3D scene/object reconstructions. Classic methods of…

cs.CV2024

3x2: 3D Object Part Segmentation by 2D Semantic Correspondences

Anh Thai, Weiyao Wang, Hao Tang +3

3D object part segmentation is essential in computer vision applications. While substantial progress has been made in 2D object part segmentation, the 3D counterpart has received l…

cs.CV2024

ICON: Incremental CONfidence for Joint Pose and Radiance Field Optimization

Weiyao Wang, Pierre Gleize, Hao Tang +3

Neural Radiance Fields (NeRF) exhibit remarkable performance for Novel View Synthesis (NVS) given a set of 2D images. However, NeRF training requires accurate camera pose for each…

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