Sood, Ekta
- Multimodal Integration of Human-Like Attention in Visual Question Answering
2021/09/27 by Ekta Sood, Fabian Kögel, Sood, Ekta +9 · 5 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection
- Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention
2020/10/15 by Sood, Ekta, Tannert, Simon, Mueller, Philipp +1 · 4 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Photofit: Gaze-based Mental Image Reconstruction
2021/08/17 by Strohm, Florian, Sood, Ekta, Mayer, Sven +3 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- Interpreting Attention Models with Human Visual Attention in Machine\n Reading Comprehension
2020/10/13 by Ekta Sood, Simon Tannert, Sood, Ekta +7 · 1 citation
Computer Science · Medicine · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #Retinal Imaging and Analysis #Visual Attention and Saliency Detection
- VQA-MHUG: A Gaze Dataset to Study Multimodal Neural Attention in Visual Question Answering
2021/09/27 by Sood, Ekta, Kögel, Fabian, Strohm, Florian +2 · 1 citation
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Comparing Attention-based Convolutional and Recurrent Neural Networks:\n Success and Limitations in Machine Reading Comprehension
2018/08/27 by Matthias Blohm, Glorianna Jagfeld, Blohm, Matthias +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling