Federico Becattini

About Federico Becattini

Federico Becattini, With an exceptional h-index of 13 and a recent h-index of 12 (since 2020), a distinguished researcher at Università degli Studi di Firenze, specializes in the field of computer vision, autonomous driving, trajectory prediction, fashion recommendation, cultural heritage.

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

Deep Variational Learning for 360 Adaptive Streaming

Deepfake detection by exploiting surface anomalies: the SurFake approach

Neuromorphic Face Analysis: a Survey

Interactive Garment Recommendation with User in the Loop

FLODCAST: Flow and depth forecasting via multimodal recurrent architectures

Neuromorphic Valence and Arousal Estimation

Smemo: social memory for trajectory forecasting

Leveraging deep scene features for vision tasks: from classification to forecasting

Federico Becattini Information

University

Position

PostDoc Media Integration and Communication Center (MICC)

Citations(all)

525

Citations(since 2020)

510

Cited By

81

hIndex(all)

13

hIndex(since 2020)

12

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Federico Becattini Skills & Research Interests

computer vision

autonomous driving

trajectory prediction

fashion recommendation

cultural heritage

Top articles of Federico Becattini

Deep Variational Learning for 360 Adaptive Streaming

ACM Transactions on Multimedia Computing, Communications and Applications

2024

Deepfake detection by exploiting surface anomalies: the SurFake approach

2024

Neuromorphic Face Analysis: a Survey

2024/2/18

Interactive Garment Recommendation with User in the Loop

arXiv preprint arXiv:2402.11627

2024/2/18

FLODCAST: Flow and depth forecasting via multimodal recurrent architectures

Pattern Recognition

2024/2/12

Neuromorphic Valence and Arousal Estimation

arXiv preprint arXiv:2401.16058

2024/1/29

Smemo: social memory for trajectory forecasting

IEEE Transactions on Pattern Analysis and Machine Intelligence

2024/1/22

Leveraging deep scene features for vision tasks: from classification to forecasting

2024

Addressing Limitations of State-Aware Imitation Learning for Autonomous Driving

IEEE Transactions on Intelligent Vehicles

2023/11/23

Continual Memory Neurons

2023/10/13

Fashion recommendation based on style and social events

Multimedia Tools and Applications

2023/10

Robot Pose Nowcasting: Forecast the Future to Improve the Present

arXiv preprint arXiv:2308.12914

2023/8/24

VISCOUNTH: A Large-Scale Multilingual Visual Question Answering Dataset for Cultural Heritage

ACM Transactions on Multimedia Computing, Communications and Applications

2023/7/12

Attribute disentanglement with gradient reversal for interactive fashion retrieval

Pattern Recognition Letters

2023/8/1

Federico Becattini
Federico Becattini

H-Index: 6

Alberto Del Bimbo
Alberto Del Bimbo

H-Index: 40

Computer Vision in Human Analysis: From Face and Body to Clothes

2023/6/6

Computer-implemented method for predicting multiple future trajectories of moving objects

2023/4/27

Transformer-based Graph Neural Networks for Outfit Generation

IEEE Transactions on Emerging Topics in Computing

2023/4/24

Federico Becattini
Federico Becattini

H-Index: 6

Alberto Del Bimbo
Alberto Del Bimbo

H-Index: 40

Explaining autonomous driving with visual attention and end-to-end trainable region proposals

Journal of Ambient Intelligence and Humanized Computing

2023/2/3

Disentangling features for fashion recommendation

ACM Transactions on Multimedia Computing, Communications and Applications

2023/1/23

Joint-based action progress prediction

Sensors

2023/1/3

Federico Becattini
Federico Becattini

H-Index: 6

Alberto Del Bimbo
Alberto Del Bimbo

H-Index: 40

See List of Professors in Federico Becattini University(Università degli Studi di Firenze)

Co-Authors

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