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Wenbo Ma

4 papers hereh-index 7242 citations13 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Wenbo Ma — 44 papers, h 24
  • Wenbo Ma — 3 papers, h 4
  • Wenbo Ma — 1 paper, h 4
  • Wenbo Ma — 1 paper, h 1
  • Wenbo Ma — 1 paper, h 3
  • Wenbo Ma — 1 paper, 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
20202022
most citedRef-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding

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

collaborators

4 papers

cs.CV2022

Integrating Object-aware and Interaction-aware Knowledge for Weakly Supervised Scene Graph Generation

Xingchen Li, Long Chen, Wenbo Ma +2

Recently, increasing efforts have been focused on Weakly Supervised Scene Graph Generation (WSSGG). The mainstream solution for WSSGG typically follows the same pipeline: they firs…

cs.CV2022

Explicit Image Caption Editing

Zhen Wang, Long Chen, Wenbo Ma +4

Given an image and a reference caption, the image caption editing task aims to correct the misalignment errors and generate a refined caption. However, all existing caption editing…

cs.CV2021

VL-NMS: Breaking Proposal Bottlenecks in Two-Stage Visual-Language Matching

Chenchi Zhang, Wenbo Ma, Jun Xiao +4

The prevailing framework for matching multimodal inputs is based on a two-stage process: 1) detecting proposals with an object detector and 2) matching text queries with proposals.…

cs.CV2020★ 13 cited

Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding

Long Chen, Wenbo Ma, Jun Xiao +2

The prevailing framework for solving referring expression grounding is based on a two-stage process: 1) detecting proposals with an object detector and 2) grounding the referent to…

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