Claudio Baecchi

About Claudio Baecchi

Claudio Baecchi, With an exceptional h-index of 11 and a recent h-index of 10 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of Computer Vision, Machine Learning.

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

Fashion recommendation based on style and social events

Disentangling features for fashion recommendation

Plm-ipe: A pixel-landmark mutual enhanced framework for implicit preference estimation

Style-based outfit recommendation

Regular polytope networks

Garment recommendation with memory augmented neural networks

Class-incremental learning with pre-allocated fixed classifiers

Automatic Emotion Recognition for Cultural Heritage

Claudio Baecchi Information

University

Position

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Citations(all)

357

Citations(since 2020)

306

Cited By

136

hIndex(all)

11

hIndex(since 2020)

10

i10Index(all)

13

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Claudio Baecchi Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Claudio Baecchi

Fashion recommendation based on style and social events

Multimedia Tools and Applications

2023/10

Disentangling features for fashion recommendation

ACM Transactions on Multimedia Computing, Communications and Applications

2023/1/23

Plm-ipe: A pixel-landmark mutual enhanced framework for implicit preference estimation

2021/12/1

Style-based outfit recommendation

2021/6/28

Regular polytope networks

IEEE Transactions on Neural Networks and Learning Systems

2021/2/19

Garment recommendation with memory augmented neural networks

2021/1/10

Class-incremental learning with pre-allocated fixed classifiers

2021/1/10

Automatic Emotion Recognition for Cultural Heritage

2020/11

Automatic interest recognition from posture and behaviour

2020/10/12

Claudio Baecchi
Claudio Baecchi

H-Index: 5

Alberto Del Bimbo
Alberto Del Bimbo

H-Index: 40

See List of Professors in Claudio Baecchi University(Università degli Studi di Firenze)

Co-Authors

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