Enver Sangineto

About Enver Sangineto

Enver Sangineto, With an exceptional h-index of 30 and a recent h-index of 24 (since 2020), a distinguished researcher at Università degli Studi di Trento, specializes in the field of Deep Learning, Computer Vision.

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

Semantic Residual Prompts for Continual Learning

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

Collaborative Neural Painting

One transformer for all time series: Representing and training with time-dependent heterogeneous tabular data

Input perturbation reduces exposure bias in diffusion models

Stylerdalle: Language-guided style transfer using a vector-quantized tokenizer of a large-scale generative model

3d-aware semantic-guided generative model for human synthesis

Smooth image-to-image translations with latent space interpolations

Enver Sangineto Information

University

Position

___

Citations(all)

4074

Citations(since 2020)

3155

Cited By

1958

hIndex(all)

30

hIndex(since 2020)

24

i10Index(all)

44

i10Index(since 2020)

33

Email

University Profile Page

Google Scholar

Enver Sangineto Skills & Research Interests

Deep Learning

Computer Vision

Top articles of Enver Sangineto

Semantic Residual Prompts for Continual Learning

arXiv preprint arXiv:2403.06870

2024/3/11

SpectralCLIP: Preventing Artifacts in Text-Guided Style Transfer from a Spectral Perspective

2024

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

Collaborative Neural Painting

arXiv preprint arXiv:2312.01800

2023/12/4

One transformer for all time series: Representing and training with time-dependent heterogeneous tabular data

arXiv preprint arXiv:2302.06375

2023/2/13

Input perturbation reduces exposure bias in diffusion models

arXiv preprint arXiv:2301.11706

2023/1/27

Stylerdalle: Language-guided style transfer using a vector-quantized tokenizer of a large-scale generative model

2023

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

3d-aware semantic-guided generative model for human synthesis

2022/10/23

Smooth image-to-image translations with latent space interpolations

arXiv preprint arXiv:2210.00841

2022/10/3

Language-Guided Artistic Style Transfer Using the Latent Space of DALL-E

2022/9/29

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

Temporal Alignment for History Representation in Reinforcement Learning

2022/8/21

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

Unsupervised high-resolution portrait gaze correction and animation

IEEE Transactions on Image Processing

2022/7/27

Spatial Entropy as an Inductive Bias for Vision Transformers

arXiv preprint arXiv:2206.04636

2022/6/9

Enver Sangineto
Enver Sangineto

H-Index: 19

Yahui Liu
Yahui Liu

H-Index: 4

Nicu Sebe
Nicu Sebe

H-Index: 63

System for Obtaining a Prediction of an Action of a Vehicle and Corresponding Method

2022/4/28

Deep Learning and Large Scale Models for Bank Transactions

2022

Rita Cucchiara
Rita Cucchiara

H-Index: 40

Enver Sangineto
Enver Sangineto

H-Index: 19

Efficient training of visual transformers with small datasets

Advances in Neural Information Processing Systems

2021/12/6

Yahui Liu
Yahui Liu

H-Index: 4

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

Whitening for self-supervised representation learning

2021/7/1

Enver Sangineto
Enver Sangineto

H-Index: 19

Nicu Sebe
Nicu Sebe

H-Index: 63

Controllable person image synthesis with spatially-adaptive warped normalization

arXiv preprint arXiv:2105.14739

2021/5/31

A unified objective for novel class discovery

2021

Smoothing the disentangled latent style space for unsupervised image-to-image translation

2021

Trigan: Image-to-image translation for multi-source domain adaptation

Machine vision and applications

2021/1

See List of Professors in Enver Sangineto University(Università degli Studi di Trento)