Camillo Jose Taylor

Camillo Jose Taylor

University of Pennsylvania

H-index: 57

North America-United States

About Camillo Jose Taylor

Camillo Jose Taylor, With an exceptional h-index of 57 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Pennsylvania, specializes in the field of Computer Vision, Robotics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering

Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge

Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications

Instance-Agnostic Geometry and Contact Dynamics Learning

Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach

Active metric-semantic mapping by multiple aerial robots

Systems and methods for real-time state estimation of fast-moving objects

Scene graph generation from hierarchical relationship reasoning

Camillo Jose Taylor Information

University

Position

___

Citations(all)

15868

Citations(since 2020)

4721

Cited By

13024

hIndex(all)

57

hIndex(since 2020)

30

i10Index(all)

134

i10Index(since 2020)

63

Email

University Profile Page

Google Scholar

Camillo Jose Taylor Skills & Research Interests

Computer Vision

Robotics

Top articles of Camillo Jose Taylor

Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering

arXiv preprint arXiv:2403.14783

2024/3/21

Enhancing Scene Graph Generation with Hierarchical Relationships and Commonsense Knowledge

arXiv preprint arXiv:2311.12889

2023/11/21

Camillo Jose Taylor
Camillo Jose Taylor

H-Index: 28

Enabling Large-scale Heterogeneous Collaboration with Opportunistic Communications

arXiv preprint arXiv:2309.15975

2023/9/27

Instance-Agnostic Geometry and Contact Dynamics Learning

arXiv preprint arXiv:2309.05832

2023/9/11

Camillo Jose Taylor
Camillo Jose Taylor

H-Index: 28

Michael Posa
Michael Posa

H-Index: 9

Modeling and rendering architecture from photographs: A hybrid geometry-and image-based approach

2023/8/1

Active metric-semantic mapping by multiple aerial robots

2023/5/29

Systems and methods for real-time state estimation of fast-moving objects

2023/5/4

Scene graph generation from hierarchical relationship reasoning

arXiv preprint arXiv:2303.06842

2023/3/13

Large-scale autonomous flight with real-time semantic slam under dense forest canopy

IEEE Robotics and Automation Letters

2022/2/24

Challenges and opportunities for autonomous micro-uavs in precision agriculture

2022/2/4

Introduction to the Special Section of CVPR 2017

IEEE Transactions on Pattern Analysis & Machine Intelligence

2022/12/1

Dsol: A fast direct sparse odometry scheme

2022/10/23

Stronger together: Air-ground robotic collaboration using semantics

IEEE Robotics and Automation Letters

2022/7/15

Camillo Jose Taylor
Camillo Jose Taylor

H-Index: 28

Vijay Kumar
Vijay Kumar

H-Index: 0

Ev-catcher: High-speed object catching using low-latency event-based neural networks

IEEE Robotics and Automation Letters

2022/7/4

Fast Footstep Planning on Uneven Terrain Using Deep Sequential Models

2022/5/23

Camillo Jose Taylor
Camillo Jose Taylor

H-Index: 28

Llol: Low-latency odometry for spinning lidars

2022/5/23

UPSLAM: Union of panoramas SLAM

2021/5/30

Anthony Cowley
Anthony Cowley

H-Index: 11

Camillo Jose Taylor
Camillo Jose Taylor

H-Index: 28

Pennsyn2real: Training object recognition models without human labeling

IEEE Robotics and Automation Letters

2021/3/31

Any way you look at it: Semantic crossview localization and mapping with lidar

IEEE Robotics and Automation Letters

2021/2/23

See List of Professors in Camillo Jose Taylor University(University of Pennsylvania)