Victor G. Turrisi da Costa

Apple (United Kingdom) — United Kingdom

Computer Science · Physical Sciences

13h-index788citations44works3.92yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Domain Adaptation and Few-Shot Learning(12), Data Stream Mining Techniques(12), Anomaly Detection Techniques and Applications(11), Network Security and Intrusion Detection(10), Multimodal Machine Learning Applications(10)

Publications44 total

Traditional vs. Neural Video Codecs: Compression Efficiency, Visual Artifacts, and Quality Analysis Beyond PSNR
2025
Multimodal Autoregressive Pre-training of Large Vision Encoders
2025· 4 cited
Scaling Laws for Native Multimodal Models
arXiv (Cornell University)·2025Open Access
Multimodal Autoregressive Pre-training of Large Vision Encoders
arXiv (Cornell University)·2024· 2 citedOpen Access
Deep computer vision system and explainable artificial intelligence applied for classification of dragon fruit (Hylocereus spp.)
Scientia Horticulturae·2024· 12 cited
Enhancing the Domain Robustness of Self-Supervised pre-Training with Synthetic Images
2024· 1 cited
Simplifying open-set video domain adaptation with contrastive learning
Computer Vision and Image Understanding·2024· 8 citedOpen Access
Diversified in-domain synthesis with efficient fine-tuning for few-shot classification
arXiv (Cornell University)·2023Open Access
Bayesian Prompt Learning for Image-Language Model Generalization
2023· 28 cited
Simplifying Open-Set Video Domain Adaptation with Contrastive Learning
arXiv (Cornell University)·2023Open Access
Bayesian Prompt Learning for Image-Language Model Generalization
arXiv (Cornell University)·2022· 2 citedOpen Access
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
2022 26th International Conference on Pattern Recognition (ICPR)·2022· 7 cited
Unsupervised Domain Adaptation for Video Transformers in Action Recognition
arXiv (Cornell University)·2022· 4 citedOpen Access
Self-Supervised Models are Continual Learners
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 127 citedOpen Access
Deep computer vision system for cocoa classification
Multimedia Tools and Applications·2022· 43 citedOpen Access
Dual-Head Contrastive Domain Adaptation for Video Action Recognition
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2022· 45 citedOpen Access
Self-Supervised Models are Continual Learners
arXiv (Cornell University)·2021· 1 citedOpen Access
Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning
arXiv (Cornell University)·2021· 42 citedOpen Access
Solo-learn: A Library of Self-supervised Methods for Visual\n Representation Learning
arXiv (Cornell University)·2021· 61 citedOpen Access
Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing
IEEE Transactions on Network and Service Management·2020· 11 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Sylvio Barbon(24), Elisa Ricci(11), Enrico Fini(7), Rodrigo Sanches Miani(7), Bruno Bogaz Zarpel�ão(7), Nicu Sebe(6), Paolo Rota(5), André C. P. L. F. de Carvalho(5), Saulo Martiello Mastelini(5), Moin Nabi(4), Giacomo Zara(4), Gabriel Marques Tavares(4), Paolo Ceravolo(4), Everton J. Santana(4), Vitor Hugo Bezerra(3), Vittorio Murino(3), Jessica Fernandes Lopes(3), Joel J. P. C. Rodrigues(3), Vinicius Eiji Martins(3), Mustafa Shukor(3)