Devanshu Arya

According to our database, Devanshu Arya authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.

Rishabh Tiwari, Arnav Chavan, Deepak Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Adaptive Neural Message Passing for Inductive Learning on Hypergraphs.

Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring

CoRR, 2021

Improving Solar Cell Metallization Designs using Convolutional Neural Networks.

Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta

CoRR, 2021

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects.

Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Rotation Equivariant Siamese Networks for Tracking.

Deepak K. Gupta, Devanshu Arya, Efstratios Gavves

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Livestock Monitoring with Transformer.

Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs.

Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring

CoRR, 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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Hard Occlusions in Visual Object Tracking.

Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2019

Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching.

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

Proceedings of the 27th ACM International Conference on Multimedia, 2019

HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities.

Devanshu Arya, Stevan Rudinac, Marcel Worring

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs.

Devanshu Arya, Stevan Rudinac, Marcel Worring

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018

Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs.

Devanshu Arya, Marcel Worring

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

2013

Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech.

Devanshu Arya, Anant Raj, Rajesh M. Hegde

Proceedings of the INTERSPEECH 2013, 2013