◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

João F. Henriques

4 papers hereh-index 277 citations5 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • João F. Henriques — 23 papers, h 31
  • João F. Henriques — 5 papers, h 1
  • João F. Henriques — 4 papers, h 2
  • João F. Henriques — 4 papers, h 2
  • João F. Henriques — 4 papers, h 2
  • João F. Henriques — 3 papers, 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
20232025
most citedUniLoc: Towards Universal Place Recognition Using Any Single Modality

3 citations · 3 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2025

Text2Loc++: Generalizing 3D Point Cloud Localization from Natural Language

Yan Xia, Letian Shi, Yilin Di +2

We tackle the problem of localizing 3D point cloud submaps using complex and diverse natural language descriptions, and present Text2Loc++, a novel neural network designed for effe…

cs.CV2024★ 3 cited

UniLoc: Towards Universal Place Recognition Using Any Single Modality

Yan Xia, Zhendong Li, Yun-Jin Li +4

To date, most place recognition methods focus on single-modality retrieval. While they perform well in specific environments, cross-modal methods offer greater flexibility by allow…

cs.CV2024

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

Yan Xia, Yunxiang Lu, Rui Song +3

We tackle the problem of localizing traffic cameras within a 3D reference map and propose a novel image-to-point cloud registration (I2P) method, TrafficLoc, in a coarse-tofine mat…

cs.CV2023

Text2Loc: 3D Point Cloud Localization from Natural Language

Yan Xia, Letian Shi, Zifeng Ding +2

We tackle the problem of 3D point cloud localization based on a few natural linguistic descriptions and introduce a novel neural network, Text2Loc, that fully interprets the semant…

◍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.