Rakshith Shetty
Orcid: 0000-0003-1616-8177Affiliations:
- 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.
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Bibliography
2021
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
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
A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation.
Proceedings of the 27th USENIX Security Symposium, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
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
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
Proceedings of the Information Modelling and Knowledge Bases XXIX, 2017
2016
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
Proceedings of the International Conference on Advances in Computing, 2013