Rakshith Shetty (PhD Student)

Publications

2021

  1. Conference paper
    D2
    “Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection,” in ICCV 2021, IEEE/CVF International Conference on Computer Vision, Virtual Event, 2021.
  2. Thesis
    D2IMPR-CS
    “Adversarial Content Manipulation for Analyzing and Improving Model Robustness,” Universität des Saarlandes, Saarbrücken, 2021.

2020

  1. Conference paper
    D2
    “Towards Automated Testing and Robustification by Semantic Adversarial Data Generation,” in Computer Vision -- ECCV 2020, Glasgow, UK, 2020.
  2. Conference paper
    D2
    “Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, WA, USA (Virtual), 2020.
  3. Conference paper
    D2
    “Diverse and Relevant Visual Storytelling with Scene Graph Embeddings,” in Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020), Online, 2020.

2019

  1. Conference paper
    D2
    “Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2019), Long Beach, CA, USA, 2019.

2018

  1. Conference paper
    D2
    “Adversarial Scene Editing: Automatic Object Removal from Weak Supervision,” in Advances in Neural Information Processing Systems 31 (NeurIPS 2018), Montréal, Canada, 2018.
  2. Conference paper
    D2
    “Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions,” in Computer Vision - ECCV 2018 Workshops, Munich, Germany, 2019.
  3. Article
    D2
    “Image and Video Captioning with Augmented Neural Architectures,” IEEE MultiMedia, vol. 25, no. 2, 2018.
  4. Conference paper
    D2
    “A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation,” in Proceedings of the 27th USENIX Security Symposium, Baltimore, MD, USA, 2018.

2017

  1. Conference paper
    D2
    “Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.
  2. Conference paper
    D2
    “Paying Attention to Descriptions Generated by Image Captioning Models,” in IEEE International Conference on Computer Vision (ICCV 2017), Venice, Italy, 2017.