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Zheng Chen

19 papers hereh-index 699 citations23 works total

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

author position
  • first author12
  • middle author7

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

fields
  • cs.RO10
  • cs.CV6
  • cs.IT1
  • cs.NI1
  • math.NA1
same name
  • Zheng Chen — 28 papers, h 8
  • Zheng Chen — 24 papers, h 20
  • Zheng Chen — 14 papers, h 4
  • Zheng Chen — 12 papers, h 9
  • Zheng Chen — 12 papers, h 10
  • Zheng Chen — 11 papers, h 4

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
20162026
most citedOptimizing Information Freshness in a Multiple Access Channel with Heterogeneous Devices

4 citations · 13 across the 19 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.RO2023

POVNav: A Pareto-Optimal Mapless Visual Navigator

Durgakant Pushp, Zheng Chen, Chaomin Luo +2

Mapless navigation has emerged as a promising approach for enabling autonomous robots to navigate in environments where pre-existing maps may be inaccurate, outdated, or unavailabl…

cs.CV2023

Pseudo-Trilateral Adversarial Training for Domain Adaptive Traversability Prediction

Zheng Chen, Durgakant Pushp, Jason M. Gregory +1

Traversability prediction is a fundamental perception capability for autonomous navigation. Deep neural networks (DNNs) have been widely used to predict traversability during the l…

cs.CV2023

IDA: Informed Domain Adaptive Semantic Segmentation

Zheng Chen, Zhengming Ding, Jason M. Gregory +1

Mixup-based data augmentation has been validated to be a critical stage in the self-training framework for unsupervised domain adaptive semantic segmentation (UDA-SS), which aims t…

cs.CV2023

SePaint: Semantic Map Inpainting via Multinomial Diffusion

Zheng Chen, Deepak Duggirala, David Crandall +2

Prediction beyond partial observations is crucial for robots to navigate in unknown environments because it can provide extra information regarding the surroundings beyond the curr…

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