Kushal Kafle

Orcid: 0000-0002-0847-7861

According to our database1, Kushal Kafle authored at least 22 papers between 2016 and 2024.

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

Timeline

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Bibliography

2024
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Discovering and Mitigating Biases in CLIP-based Image Editing.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
An Investigation of Critical Issues in Bias Mitigation Techniques.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses.
Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

Debiasing Image-to-Image Translation Models.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021
AESOP: Abstract Encoding of Stories, Objects, and Pictures.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Predict Visual Attributes in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Do We Need Fully Connected Output Layers in Convolutional Networks?
CoRR, 2020

Answering Questions about Data Visualizations using Efficient Bimodal Fusion.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

REMIND Your Neural Network to Prevent Catastrophic Forgetting.
Proceedings of the Computer Vision - ECCV 2020, 2020

A negative case analysis of visual grounding methods for VQA.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Challenges and Prospects in Vision and Language Research.
Frontiers Artif. Intell., 2019

Answer Them All! Toward Universal Visual Question Answering Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TallyQA: Answering Complex Counting Questions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
DVQA: Understanding Data Visualizations via Question Answering.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Visual question answering: Datasets, algorithms, and future challenges.
Comput. Vis. Image Underst., 2017

Data Augmentation for Visual Question Answering.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

An Analysis of Visual Question Answering Algorithms.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Answer-Type Prediction for Visual Question Answering.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


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