About Me
Grew up and lived in Greece until 2015 with brief breaks in Sweden, Spain and the United States. Lived in San Francisco from 2015 till 2017 and currently in Oakland.
Got my PhD in late 2014 from the National Technical University of Athens under the supervision of Prof. Stefanos Kollias and Yannis Avrithis, working closely with my research brother Giorgos Tolias.
The large-scale visual similarity search work of my PhD came to a nice closure while a researcher at Yahoo Research, as it was applied on a trully web scale powering the visual search feature on Flickr. At the same time, my interests expanded towards modeling of vision and language and collaborated with Stanford on the Visual Genome project.
Currently conducting research and development on video understanding, temporal segmentation, learning image & video representations, multi-modal classification and large-scale vision and language.
Contact Details
ykalant(at)image.ntua.gr yannisk(at)fb.com
Development projects and Demos
- LOPQ Resources: Project page and code, Python code at Yahoo GitHub.
- Code for the Crow features at the Yahoo GitHub.
- Online demo for VIRaL: Visual Image Retrieval and Localization.
Selected Publications
Full list at my Google Scholar profile.
2019
- Y. Chen, M. Rohrbach, Z. Yan, Y. Shuicheng, J. Feng, Y. Kalantidis. Graph-Based Global Reasoning Networks. In Computer Vision and Pattern recognition (CVPR), 2019.
- L. Zhou, Y. Kalantidis, X. Chen, J. Corso, M. Rohrbach. Grounded Video Description. In Computer Vision and Pattern recognition (CVPR), 2019. [ActivityNet-Entities dataset on github]
- B. Xiong, Y. Kalantidis, D. Ghadiyaram, K. Grauman. Less is More: Learning Highlight Detection from Video Duration.. In Computer Vision and Pattern recognition (CVPR), 2019.
- Z. Shou, Z. Yan, Y. Kalantidis, L. Sevilla-Lara, M. Rohrbach, X. Lin, S.-F. Chang. DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition.. In Computer Vision and Pattern recognition (CVPR), 2019.
- L. Jiang, L. Cao, Y.~Kalantidis, S. Farfade and A. Hauptmann. Focal Visual-Text Attention for Memex Question Answering. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 2019.
- J. Zhang, Y. Kalantidis, M. Rohrbach, M. Paluri A. Elgammal, M. Elhoseiny. Large-Scale Visual Relationship Understanding. In the thirty-third AAAI Conference on Artificial Intelligence (AAAI), 2019. [code on github]
- Y. Chen, Y. Kalantidis, J. Li, Y. Shuicheng, J. Feng. A^2-Nets: Double Attention Networks. In Neural Information Processing Systems (NeurIPS), 2018.
- Y. Chen, Y. Kalantidis, J. Li, Y. Shuicheng, J. Feng. Multi-Fiber Networks for Video Recognition. In European Conference on Computer Vision (ECCV), 2018. [code]
- R. Krishna, Y. Zhu, O. Groth, J. Johnson, K. Hata, J. Kravitz, S. Chen, Y. Kalantidis, L.-J. Li, D.A. Shamma, M. Bernstein and L. Fei-Fei. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations. In International Journal of Computer Vision (IJCV), 2017.
- L. Jiang, L. Cao, Y. Kalantidis, S. Farfade and A. Hauptmann. MemexQA: Visual Memex Question Answering. arXiv:1708.01336, 2017.
- L. Jiang, Y. Kalantidis, L. Cao, S. Farfade, J. Tang and A. Hauptmann. Delving Deep into Personal Photo and Video Search. In Web Search and Data Mining (WSDM), 2017.
- S. Chancellor, Y. Kalantidis, J. A. Pater, M. De Choudhury and D. A. Shamma. Multimodal Classification of Moderated Online Pro-Eating Disorder Content. In ACM CHI Conference on Human Factors in Computing Systems (CHI), 2017.
- P. Garrigues, S. Farfade, H. Izadinia, Kofi Boakye and Y. Kalantidis. Tag Prediction in Flickr: A view from the darkroom. (Best paper award) In Large Scale Computer Vision systems Workshop at NeurIPS, 2016.
- Y. Kalantidis, C. Mellina and S. Osindero. Cross-dimensional Weighting for Aggregated Deep Convolutional Features. In Web-scale Vision and Social Media (VSM) Workshop, ECCV, 2016. [code]
- Y. Kalantidis, L. Kennedy, H. Nguyen, C. Mellina and D.A. Shamma. LOH and behold: Web-scale visual search, recommendation and clustering using Locally Optimized Hashing. In Web-scale Vision and Social Media (VSM) Workshop, ECCV, 2016.
- Y. Kalantidis, A. Farahat, L. Kennedy, R. Baeza-Yates and D.A. Shamma. Visual Congruent Ads for Image Search. In International Conference on Pattern Recognition (ICPR), 2016.
- Y. Avrithis, Y. Kalantidis, E. Anagnostopoulos and I. Z. Emiris. Web-scale image clustering revisited. In International Conference on Computer Vision (oral) (ICCV), 2015.
- Y. Kalantidis and Y. Avrithis. Locally Optimized Product Quantization for Approximate Nearest Neighbor Search. In Computer Vision and Pattern Recognition (CVPR), 2014. [code]
- G. Tolias, Y. Kalantidis, and Y. Avrithis. Towards large-scale geometry indexing by feature selection. Computer Vision and Image Understanding (CVIU), 2014.
- Y. Kalantidis, L. Kennedy and L.-J. Li. Getting the Look: Clothing Recognition and Segmentation for Automatic Clothing Suggestions in Everyday Photos. In International Conference on Multimedia Retrieval (Oral paper) (ICMR), 2013.
- Y. Avrithis and Y. Kalantidis. Approximate gaussian mixtures for large scale vocabularies. In European Conference on Computer Vision (ECCV), 2012.
- G. Tolias, Y. Kalantidis, and Y. Avrithis. Symcity: Feature selection by symmetry for large scale image retrieval. In ACM Multimedia (Oral paper) (ACM MM 2012), 2012.
- Y. Avrithis, Y. Kalantidis, G. Tolias, and E. Spyrou. Retrieving landmark and non-landmark images from community photo collections. In ACM Multimedia (Oral paper) (ACM MM 2010), 2010.
- Y. Avrithis, G. Tolias, and Y. Kalantidis. Feature map hashing: Sub-linear indexing of appearance and global geometry. In ACM Multimedia (Oral paper) (ACM MM 2010), 2010.
- Y. Kalantidis, LG. Pueyo, M. Trevisiol, R. van Zwol, and Y. Avrithis. Scalable triangulation-based logo recognition. In International Conference on Multimedia Retrieval (ICMR), 2011.
- Y. Kalantidis, G. Tolias, Y. Avrithis, M. Phinikettos, E. Spyrou, P. Mylonas, and S. Kollias. Viral: Visual image retrieval and localization. Multimedia Tools and Applications (MTAP), 2011.
