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

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

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

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

Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. - Sarah Ibrahimi; Shuo Chen 010; Devanshu Arya; Arthur Câmara; Yunlu Chen; Tanja Crijns; Maurits van der Goes; Thomas Mensink; Emiel van Miltenburg; Daan Odijk; William Thong; Jiaojiao Zhao; et al. (ACM Multimedia, 2019)

Hard Occlusions in Visual Object Tracking. - Thijs P. Kuipers; Devanshu Arya; Deepak K. Gupta (ECCV Workshops (5), 2020)

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

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. - Devanshu Arya; Deepak K. Gupta; Stevan Rudinac; Marcel Worring (CoRR, 2020)

Livestock Monitoring with Transformer. - Bhavesh Tangirala; Ishan Bhandari; Dániel László; Deepak K. Gupta; Rajat Mani Thomas; Devanshu Arya (BMVC, 2021)

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

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. - Bryan G. Cardenas; Devanshu Arya; Deepak K. Gupta (ICIP, 2021)

Improving Solar Cell Metallization Designs using Convolutional Neural Networks. - Sumit Bhattacharya; Devanshu Arya; Debjani Bhowmick; Rajat Mani Thomas; Deepak Kumar Gupta (CoRR, 2021)

Visual Analytics for Temporal Hypergraph Model Exploration. - Maximilian T. Fischer; Devanshu Arya; Dirk Streeb; Daniel Seebacher; Daniel A. Keim; Marcel Worring (IEEE Trans. Vis. Comput. Graph., 2021)

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. - Rishabh Tiwari; Arnav Chavan; Deepak K. Gupta; Gowreesh Mago; Animesh Gupta; Akash Gupta; Suraj Sharan; Yukun Yang; Shanwei Zhao; Shihao Wang; Youngjun Kwak; Seonghun Jeong; et al. (ICCV (Workshops), 2023)

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. - Devanshu Arya; Deepak K. Gupta; Stevan Rudinac; Marcel Worring (IEEE Trans. Pattern Anal. Mach. Intell., 2025)