◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Dan Deng

4 papers hereh-index 3670 citations6 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

activity
20182023
most citedPixelLink: Detecting Scene Text via Instance Segmentation

53 citations · 62 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023

Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving

Junkai Xu, Liang Peng, Haoran Cheng +6

Multi-camera perception tasks have gained significant attention in the field of autonomous driving. However, existing frameworks based on Lift-Splat-Shoot (LSS) in the multi-camera…

cs.CV2021★ 7 cited

Lidar Point Cloud Guided Monocular 3D Object Detection

Liang Peng, Fei Liu, Zhengxu Yu +5

Monocular 3D object detection is a challenging task in the self-driving and computer vision community. As a common practice, most previous works use manually annotated 3D box label…

cs.CV2020★ 2 cited

Geometry-based Occlusion-Aware Unsupervised Stereo Matching for Autonomous Driving

Liang Peng, Dan Deng, Deng Cai

Recently, there are emerging many stereo matching methods for autonomous driving based on unsupervised learning. Most of them take advantage of reconstruction losses to remove depe…

cs.CV2018★ 53 cited

PixelLink: Detecting Scene Text via Instance Segmentation

Dan Deng, Haifeng Liu, Xuelong Li +1

Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.