David Acuna

David Acuna

University of Toronto

H-index: 16

North America-Canada

About David Acuna

David Acuna, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at University of Toronto,

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

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting

Translating Labels to Solve Annotation Mismatches Across Object Detection Datasets

Shape fusion for image analysis

Learning to generate synthetic datasets for training neural networks

Bridging the sim2real gap with care: Supervised detection adaptation with conditional alignment and reweighting

Dreamteacher: Pretraining image backbones with deep generative models

Visual Learning Using Synthetic Data

Domain adversarial training: A game perspective

David Acuna Information

University

Position

___

Citations(all)

3208

Citations(since 2020)

3161

Cited By

937

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Top articles of David Acuna

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting

arXiv preprint arXiv:2404.10765

2024/4/16

Translating Labels to Solve Annotation Mismatches Across Object Detection Datasets

2023/10/13

Shape fusion for image analysis

2023/10/26

Learning to generate synthetic datasets for training neural networks

2023/7/20

Bridging the sim2real gap with care: Supervised detection adaptation with conditional alignment and reweighting

arXiv preprint arXiv:2302.04832

2023/2/9

Dreamteacher: Pretraining image backbones with deep generative models

ICCV 2023

2023/7/14

Visual Learning Using Synthetic Data

2023

David Acuna
David Acuna

H-Index: 8

Domain adversarial training: A game perspective

2022/2

Federated learning with heterogeneous architectures using graph hypernetworks

arXiv preprint arXiv:2201.08459

2022/1/20

How much more data do i need? estimating requirements for downstream tasks

2022

Architecture-agnostic federated learning system

2022/12/8

Training perception models using synthetic data for autonomous systems and applications

2022/12/8

How many trained neural networks are needed for influence estimation in modern deep learning?

2022/12/6

Domain adaptation using domain-adversarial learning in synthetic data systems and applications

2022/12/1

Neural light field estimation for street scenes with differentiable virtual object insertion

2022/10/23

Complex momentum for optimization in games

2022/5/3

David Acuna
David Acuna

H-Index: 8

David Duvenaud
David Duvenaud

H-Index: 38

Unsupervised domain adaptation with neural networks

2022/4/7

Object image completion

2022/3/3

Scalable neural data server: A data recommender for transfer learning

Advances in Neural Information Processing Systems

2021/12/6

David Acuna
David Acuna

H-Index: 8

Sanja Fidler
Sanja Fidler

H-Index: 52

Towards optimal strategies for training self-driving perception models in simulation

Advances in Neural Information Processing Systems

2021/12/6

See List of Professors in David Acuna University(University of Toronto)

Co-Authors

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