Kushal Kafle

According to our database, Kushal Kafle authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Revisiting Multi-Modal LLM Evaluation.

Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

CoRR, 2024

They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias.

Salma Abdel Magid, Jui-Hsien Wang, Kushal Kafle, Hanspeter Pfister

CoRR, 2024

SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data.

Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Discovering and Mitigating Biases in CLIP-based Image Editing.

Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FineMatch: Aspect-Based Fine-Grained Image and Text Mismatch Detection and Correction.

Hang Hua, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John P. Collomosse, Scott Cohen, Jiebo Luo

Proceedings of the Computer Vision - ECCV 2024, 2024

FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication.

Eric Slyman, Stefan Lee, Scott Cohen, Kushal Kafle

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Building Vision-Language Models on Solid Foundations with Masked Distillation.

Sepehr Sameni, Kushal Kafle, Hao Tan, Simon Jenni

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations.

Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Investigation of Critical Issues in Bias Mitigation Techniques.

Robik Shrestha, Kushal Kafle, Christopher Kanan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses.

Robik Shrestha, Kushal Kafle, Christopher Kanan

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.

Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

Proceedings of the Computer Vision - ECCV 2022, 2022

Debiasing Image-to-Image Translation Models.

Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

AESOP: Abstract Encoding of Stories, Objects, and Pictures.

Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning To Predict Visual Attributes in the Wild.

Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Do We Need Fully Connected Output Layers in Convolutional Networks?

Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan

CoRR, 2020

Answering Questions about Data Visualizations using Efficient Bimodal Fusion.

Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan

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.

Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel

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.

Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

Proceedings of the Computer Vision - ECCV 2020, 2020

A negative case analysis of visual grounding methods for VQA.

Robik Shrestha, Kushal Kafle, Christopher Kanan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Challenges and Prospects in Vision and Language Research.

Kushal Kafle, Robik Shrestha, Christopher Kanan

Frontiers Artif. Intell., 2019

Answer Them All! Toward Universal Visual Question Answering Models.

Robik Shrestha, Kushal Kafle, Christopher Kanan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

TallyQA: Answering Complex Counting Questions.

Manoj Acharya, Kushal Kafle, Christopher Kanan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

DVQA: Understanding Data Visualizations via Question Answering.

Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Visual question answering: Datasets, algorithms, and future challenges.

Kushal Kafle, Christopher Kanan

Comput. Vis. Image Underst., 2017

Data Augmentation for Visual Question Answering.

Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan

Proceedings of the 10th International Conference on Natural Language Generation, 2017

An Analysis of Visual Question Answering Algorithms.

Kushal Kafle, Christopher Kanan

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Answer-Type Prediction for Visual Question Answering.

Kushal Kafle, Christopher Kanan

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016