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ORCIDDevanshu Arya
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2020 – today
- 2023
[c11]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, 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:
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) 2023: 1526-1535- 2021
- [j1]Maximilian T. Fischer
, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. IEEE Trans. Vis. Comput. Graph. 27(2): 550-560 (2021) - [c10]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. BMVC 2021: 323 - [c9]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CVPR 2021: 12362-12371 - [c8]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. ICIP 2021: 834-838 - [i9]Sumit Bhattacharya, Devanshu Arya, Debjani Bhowmick, Rajat Mani Thomas, Deepak Kumar Gupta:
Improving Solar Cell Metallization Designs using Convolutional Neural Networks. CoRR abs/2104.04017 (2021) - [i8]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
Adaptive Neural Message Passing for Inductive Learning on Hypergraphs. CoRR abs/2109.10683 (2021) - [i7]Bhavesh Tangirala, Ishan Bhandari, Dániel László, Deepak K. Gupta, Rajat Mani Thomas, Devanshu Arya:
Livestock Monitoring with Transformer. CoRR abs/2111.00801 (2021) - 2020
- [c7]Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. ECCV Workshops (5) 2020: 299-314 - [c6]Devanshu Arya, Richard Olij, Deepak K. Gupta, Ahmed El Gazzar, Guido van Wingen, Marcel Worring, Rajat Mani Thomas:
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification. MIDL 2020: 44-61 - [i6]Bryan G. Cardenas, Devanshu Arya, Deepak K. Gupta:
Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects. CoRR abs/2006.12150 (2020) - [i5]Maximilian T. Fischer, Devanshu Arya, Dirk Streeb, Daniel Seebacher, Daniel A. Keim, Marcel Worring:
Visual Analytics for Temporal Hypergraph Model Exploration. CoRR abs/2008.07299 (2020) - [i4]Thijs P. Kuipers, Devanshu Arya, Deepak K. Gupta:
Hard Occlusions in Visual Object Tracking. CoRR abs/2009.04787 (2020) - [i3]Devanshu Arya, Deepak K. Gupta, Stevan Rudinac, Marcel Worring:
HyperSAGE: Generalizing Inductive Representation Learning on Hypergraphs. CoRR abs/2010.04558 (2020) - [i2]Deepak K. Gupta, Devanshu Arya, Efstratios Gavves:
Rotation Equivariant Siamese Networks for Tracking. CoRR abs/2012.13078 (2020)
2010 – 2019
- 2019
- [c5]Devanshu Arya, Stevan Rudinac, Marcel Worring:
Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs. CBMI 2019: 1-6 - [c4]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:
Interactive Exploration of Journalistic Video Footage through Multimodal Semantic Matching. ACM Multimedia 2019: 2196-2198 - [c3]Devanshu Arya, Stevan Rudinac, Marcel Worring:
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. ACM Multimedia 2019: 2245-2253 - [i1]Devanshu Arya, Stevan Rudinac, Marcel Worring:
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities. CoRR abs/1909.09252 (2019) - 2018
- [c2]Devanshu Arya, Marcel Worring:
Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs. ICMR 2018: 117-125 - 2013
- [c1]Devanshu Arya, Anant Raj, Rajesh M. Hegde:
Significance of variable height-bandwidth group delay filters in the spectral reconstruction of speech. INTERSPEECH 2013: 1682-1686
Coauthor Index
aka: Deepak Kumar Gupta
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