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Dengxin Dai

92 papers hereh-index 5815.7k citations155 works total

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

author position
  • first author6
  • middle author71
  • last author12

Across the 89 of 92 papers where every author was matched, so the position is known.

fields
  • cs.CV84
  • cs.RO3
  • cs.LG2
  • cs.CL1
  • cs.SD1
  • eess.AS1
same name
  • Dengxin Dai — 3 papers
  • Dengxin Dai — 3 papers, h 2
  • Dengxin Dai — 3 papers, h 2
  • Dengxin Dai — 2 papers, h 1
  • Dengxin Dai — 2 papers, h 1

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
20152024
most citedSemantic Foggy Scene Understanding with Synthetic Data

1.4k citations · 3.1k across the 72 of their papers we have counts for

collaborators
Showing 2017 · cs.CVShow all

4 papers · 2 filters

cs.CV2017

Object Referring in Visual Scene with Spoken Language

Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

Object referring has important applications, especially for human-machine interaction. While having received great attention, the task is mainly attacked with written language (tex…

cs.CV2017★ 1.4k cited

Semantic Foggy Scene Understanding with Synthetic Data

Christos Sakaridis, Dengxin Dai, Luc Van Gool

This work addresses the problem of semantic foggy scene understanding (SFSU). Although extensive research has been performed on image dehazing and on semantic scene understanding w…

cs.CV2017★ 5 cited

Deep Domain Adaptation by Geodesic Distance Minimization

Yifei Wang, Wen Li, Dengxin Dai +1

In this paper, we propose a new approach called Deep LogCORAL for unsupervised visual domain adaptation. Our work builds on the recently proposed Deep CORAL method, which proposed…

cs.CV2017

PathTrack: Fast Trajectory Annotation with Path Supervision

Santiago Manen, Michael Gygli, Dengxin Dai +1

Progress in Multiple Object Tracking (MOT) has been historically limited by the size of the available datasets. We present an efficient framework to annotate trajectories and use i…

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