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Latest News

• Oct. 2021: A paper accepted at BMVC 2021.

• Oct. 2021: A paper accepted at NeurIPS 2021 Datasets and Benchmarks track.

• July 2021: A paper accepted at ICCV 2021.

• Jun. 2021: I will serve as Area Chair at BMVC 2021.

• May 2021: I was selected as a CVPR 2021 outstanding reviewer.

• May 2021: I've been promoted to Assistant Professor!

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

• Apr. 2021: A paper accepted at ICMR 2021.

• Feb. 2021: I gave a talk at CAI+CAI workshop.

• Nov. 2020: A paper accepted at WACV 2021.

• July 2020: A paper accepted at ECCV 2020.

Research Interests

Highlighted Publications

Full Publications List

2021

• Nikolaos-Antonios Ypsilantis, Noa Garcia, Guangxing Han, Sarah Ibrahimi, Nanne Van Noord, Giorgos Tolias. Instance-level Recognition for Artworks: The MET Dataset. (NeurIPS 2021 Track on Datasets and Benchmarks). [Data] [Code]

• Zechen Bai, Yuta Nakashima, Noa Garcia. Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. (ICCV 2021) [Data] [Code]

• Tianran Wu, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Haruo Takemura. Transferring Domain-Agnostic Knowledge in Video Question Answering. (BMVC 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)

• Yusuke Hirota, Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima, Ittetsu Taniguchi, Takao Onoye. Visual Question Answering with Textual Representations (4th Workshop on Closing the Loop Between Vision and Language, ICCV 2021)

2020

• Noa Garcia, Yuta Nakashima. Knowledge-Based Video Question Answering with Unsupervised Scene Descriptions (ECCV 2020) [Code]

• Noa Garcia, Mayu Otani, Chenhui Chu, Yuta Nakashima. KnowIT VQA: Answering Knowledge-Based Questions about Videos (AAAI 2020) [Data] [Code]

• Zekun Yang, Noa Garcia, Chenhui Chu, Mayu Otani, Yuta Nakashima, Haruo Takemura. BERT representations for Video Question Answering (WACV 2020)

• 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] [Best paper award candidate]

• 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, George Vogiatzis. Asymmetric Spatio-Temporal Embeddings for Large-Scale Image-to-Video Retrieval (BMVC 2018) [Code]

• Noa Garcia, George Vogiatzis. How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval (VISART workshop, ECCV 2018) [Data] [Code]

• Noa Garcia. Temporal Aggregation of Visual Features for Large-Scale Image-to-Video Retrieval (ICMR 2018 Doctoral Symposium)

• Noa Garcia. Spatial and Temporal Representations for Multi-Modal Visual Retrieval (Ph.D. Thesis, Aston University, 2018)

Before 2018

• Noa Garcia, George Vogiatzis. Dress like a Star: Retrieving Fashion Products from Videos (Computer Vision for Fashion workshop, ICCV 2017) [Code]

• Noa Garcia, George Vogiatzis. Exploiting Redundancy in Binary Features for Image Retrieval in Large-Scale Video Collections (CVMP 2016)

• Nuria Sanchez, Noa Garcia, Jose Manuel Menendez. Feedback-Based Parameterized Strategies for Improving Performance of Video Surveillance Understanding Frameworks (IBERAMIA 2014)

• Carmen Bravo, Nuria Sanchez, Noa Garcia, Jose Manuel Menendez. Outdoor Vacant Parking Space Detector for Improving Mobility in Smart Cities (EPIA 2013)

• Noa Garcia. Heart Rate Estimation Using Facial Video Information (Telecom Engineering thesis, 2012)

Project Websites