Rakshith Shetty

Orcid: 0000-0003-1616-8177

Affiliations:
  • Max Planck Institute for Informatics (MPII), Saarbrücken, Germany
  • Aalto University, Department of Computer Science, Espoo, Finland
  • PES Institute of Technology, Bangalore, India


According to our database1, Rakshith Shetty authored at least 19 papers between 2013 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2021
Adversarial content manipulation for analyzing and improving model robustness.
PhD thesis, 2021

Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Towards Automated Testing and Robustification by Semantic Adversarial Data Generation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Diverse and Relevant Visual Storytelling with Scene Graph Embeddings.
Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

2019
Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Image and Video Captioning with Augmented Neural Architectures.
IEEE Multim., 2018

A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.
Proceedings of the 27th USENIX Security Symposium, 2018

Adversarial Scene Editing: Automatic Object Removal from Weak Supervision.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
A<sup>4</sup>NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.
CoRR, 2017

Can Saliency Information Benefit Image Captioning Models?
CoRR, 2017

Paying Attention to Descriptions Generated by Image Captioning Models.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training.
Proceedings of the IEEE International Conference on Computer Vision, 2017

VisualLabel: An Integrated Multimedia Content Management and Access Framework.
Proceedings of the Information Modelling and Knowledge Bases XXIX, 2017

2016
Exploiting Scene Context for Image Captioning.
Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, 2016

Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

2015
Video captioning with recurrent networks based on frame- and video-level features and visual content classification.
CoRR, 2015

2013
Monocular vision based real-time exploration in autonomous rovers.
Proceedings of the International Conference on Advances in Computing, 2013


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