Kushal Kafle

According to our database1, Kushal Kafle authored at least 15 papers between 2016 and 2021.

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



In proceedings 
PhD thesis 


Online presence:

On csauthors.net:


Learning to Predict Visual Attributes in the Wild.
CoRR, 2021

An Investigation of Critical Issues in Bias Mitigation Techniques.
CoRR, 2021

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

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

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

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

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