Publications

Deepak Gupta, Devanshu Arya, Efstratios Gavves (2021). Rotation Equivariant Siamese Networks for Tracking. In CVPR 2021.

Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas (2020). Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. In MIDL 2020.

Dirk Streeb, Devanshu Arya, Daniel Keim, Marcel Worring (2019). Visual Analytics Framework for the Assessment of Temporal Hypergraph Prediction Models. In Set Visual Analytics Workshop at IEEE VIS 2019.

Sarah Ibrahimi, Shuo Chen, Devanshu Arya, Arthur Câmara, Yunlu Chen, Tanja Crijns, Maurits Van Der Goes, Thomas Mensink, Emiel Van Miltenburg, Daan Odijk, William Thong, Jiaojiao Zhao, Pascal Mettes (2019). Interactive exploration of journalistic video footage through multimodal semantic matching. In ACMMM 2019.

Devanshu Arya, Stevan Rudinac, Marcel Worring (2019). HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. In ACMMM 2019.

Devanshu Arya, Stevan Rudinac, Marcel Worring (2019). Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs. In CBMI 2019.

Devanshu Arya, Marcel Worring (2018). Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs. In ICMR 2018.

PDF Poster Slides

Devanshu Arya, Anant Raj, Rajesh Hegde (2013). Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech. In INTERSPEECH 2013.