Hi, I'm Noa.

I am an Assistant Professor at ISLab, Osaka University.

Looking for students! All levels are welcomed: Ph.D., Masters, Undergrad, Internships. Drop me an email to discuss potential projects.

A big thank you to everybody who has supported me so far, especially professors, colleagues, and students at ISLab.

Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions

Noa Garcia and Yuta Nakashima (ECCV 2020)

KnowIT VQA: Answering Knowledge-Based Questions about Videos

Noa Garcia, Mayu Otani, Chenhui Chu and Yuta Nakashima (AAAI 2020)

BERT representations for Video Question Answering

Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima and Haruo Takemura (WACV 2020)

Context-Aware Embeddings for Automatic Art Analysis

Noa Garcia, Benjamin Renoust and Yuta Nakashima (ICMR 2019)

How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval

Noa Garcia and George Vogiatzis (VISART workshop, ECCV 2018)

2021

Cheikh Brahim El Vaigh, Noa Garcia, Benjamin Renoust, Chenhui Chu, Yuta Nakashima, Hajime Nagahara. GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph (ICMR 2021)
Yuta Kayatani, Zekun Yang, Mayu Otani, Noa Garcia, Chenhui Chu, Yuta Nakashima, Haruo Takemura. The Laughing Machine: Predicting Humor in Video (WACV 2021)
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura. A Comparative Study of Language Transformers for Video Question Answering (Neurocomputing)
Wenjian Dong, Mayu Otani, Noa Garcia, Yuta Nakashima, Chenhui Chu. Cross-Lingual Visual Grounding (IEEE Access)
Jules Samaran, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima. Attending Self-Attention: A Case Study of Visually Grounded Supervision in Vision-and-Language Transformers (ACL-IJCNLP 2021 Student Research workshop)

2020

Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima. KnowIT VQA: Answering Knowledge-Based Questions about Videos (AAAI 2020) [Code]
Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura. BERT representations for Video Question Answering (WACV 2020)
Noa Garcia, Yuta Nakashima. Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions (ECCV 2020) [Code]
Noa Garcia, Chentao Ye, Zihua Liu, Qingtao Hu, Mayu Otani, Chenhui Chu, Yuta Nakashima, Teruko Mitamura. A Dataset and Baselines for Visual Question Answering on Art (VISART workshop, ECCV 2020) [Code&data]
Nikolai Huckle, Noa Garcia, Yuta Nakashima. Demographic Influences on Contemporary Art with Unsupervised Style Embeddings (VISART workshop, ECCV 2020)

2019

Noa Garcia, Benjamin Renoust, Yuta Nakashima. Context-Aware Embeddings for Automatic Art Analysis (ICMR 2019) [Code]
Noa Garcia, George Vogiatzis. Learning Non-Metric Visual Similarity for Image Retrieval (IMAVIS) [Code]
Noa Garcia, Benjamin Renoust, Yuta Nakashima. Understanding Art through Multi-Modal Retrieval in Paintings (Language and Vision workshop, CVPR 2019) [Code]
Benjamin Renoust, Matheus Franca, Jacob Chan, Noa Garcia, Van Le, Ayaka Uesaka, Yuta Nakashima, Hajime Nagahara, Juereng Wang, Yutaka Fujioka. Historical and Modern Features for Buddha Statue Classification (SUMAC workshop, ACMMM 2019)
Noa Garcia, Benjamin Renoust, Yuta Nakashima. ContextNet: Representation and Exploration for Painting Classification and Retrieval in Context (IJMIR) [Code]

2018

Noa Garcia. Spatial and Temporal Representations for Multi-Modal Visual Retrieval (Ph.D. Thesis, Aston University, 2018)
Noa Garcia, George Vogiatzis. How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval (VISART workshop, ECCV 2018) [Code]
Noa Garcia, George Vogiatzis. Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval (BMVC 2018) [Code]
Noa Garcia. Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval (ICMR 2018 Doctoral Symposium)

Before 2018