Federico Landi

About Federico Landi

Federico Landi, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at Università degli Studi di Modena e Reggio Emilia, specializes in the field of Computer Vision, Artificial Intelligence.

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

Spot the difference: A novel task for embodied agents in changing environments

Embodied navigation at the art gallery

Dress code: high-resolution multi-category virtual try-on

Multimodal attention networks for low-level vision-and-language navigation

Out of the Box: Embodied Navigation in the Real World

VITON-GT: an image-based virtual try-on model with geometric transformations

Transform, Warp, and Dress: A New Transformation-Guided Model for Virtual Try-On

Working Memory Connections for LSTM

Federico Landi Information

University

Position

___

Citations(all)

343

Citations(since 2020)

343

Cited By

29

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

12

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Federico Landi Skills & Research Interests

Computer Vision

Artificial Intelligence

Top articles of Federico Landi

Spot the difference: A novel task for embodied agents in changing environments

2022/8/21

Dress code: high-resolution multi-category virtual try-on

2022/10

Multimodal attention networks for low-level vision-and-language navigation

Computer Vision and Image Understanding

2021

Out of the Box: Embodied Navigation in the Real World

Computer Analysis of Images and Patterns: 19th International Conference, CAIP 2021, Virtual Event, September 28–30, 2021, Proceedings, Part I

2021/10/31

VITON-GT: an image-based virtual try-on model with geometric transformations

2020

Transform, Warp, and Dress: A New Transformation-Guided Model for Virtual Try-On

ACM Transactions on Multimedia Computing, Communications, and Applications

2022

Working Memory Connections for LSTM

Neural Networks

2021

Focus on Impact: Indoor Exploration with Intrinsic Motivation

IEEE Robotics and Automation Letters

2022/1/25

Explore and Explain: Self-supervised Navigation and Recounting

2021/1/10

See List of Professors in Federico Landi University(Università degli Studi di Modena e Reggio Emilia)

Co-Authors

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