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David Schneider

19 papers hereh-index 7252 citations29 works total

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

author position
  • first author2
  • middle author17

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.CV19
same name
  • David Schneider — 2 papers, h 7
  • David Schneider — 2 papers, h 1
  • David Schneider — 1 paper, h 2
  • David Schneider — 1 paper, h 9
  • David Schneider — 1 paper, h 2

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
20212026
most citedModSelect: Automatic Modality Selection for Synthetic-to-Real Domain Generalization

3 citations · 12 across the 18 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CV2023★ 2 cited

Navigating Open Set Scenarios for Skeleton-based Action Recognition

Kunyu Peng, Cheng Yin, Junwei Zheng +7

In real-world scenarios, human actions often fall outside the distribution of training data, making it crucial for models to recognize known actions and reject unknown ones. Howeve…

cs.CV2023

Exploring Self-supervised Skeleton-based Action Recognition in Occluded Environments

Yifei Chen, Kunyu Peng, Alina Roitberg +7

To integrate action recognition into autonomous robotic systems, it is essential to address challenges such as person occlusions-a common yet often overlooked scenario in existing…

cs.CV2023★ 1 cited

Exploring Few-Shot Adaptation for Activity Recognition on Diverse Domains

Kunyu Peng, Di Wen, David Schneider +5

Domain adaptation is essential for activity recognition to ensure accurate and robust performance across diverse environments, sensor types, and data sources. Unsupervised domain a…

cs.CV2023★ 1 cited

Towards Activated Muscle Group Estimation in the Wild

Kunyu Peng, David Schneider, Alina Roitberg +6

In this paper, we tackle the new task of video-based Activated Muscle Group Estimation (AMGE) aiming at identifying active muscle regions during physical activity in the wild. To t…

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