Kushal Kafle

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Fully Connected

Natural Language

Question Answering

Top Venues

Publications

Eric Slyman, Stefan Lee, Scott Cohen, Kushal Kafle
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication. CoRR (2024)
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
Discovering and Mitigating Biases in CLIP-based Image Editing. WACV (2024)
Salma Abdel Magid, Jui-Hsien Wang, Kushal Kafle, Hanspeter Pfister
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias. CoRR (2024)
Hang Hua, Jing Shi, Kushal Kafle, Simon Jenni, Daoan Zhang, John P. Collomosse, Scott Cohen, Jiebo Luo
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction. CoRR (2024)
Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV (2024)
Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. CVPR (2023)
Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. CoRR (2023)
Robik Shrestha, Kushal Kafle, Christopher Kanan
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. CoRR (2022)
Robik Shrestha, Kushal Kafle, Christopher Kanan
An Investigation of Critical Issues in Bias Mitigation Techniques. WACV (2022)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. ECCV (25) (2022)
Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell
Debiasing Image-to-Image Translation Models. BMVC (2022)
Robik Shrestha, Kushal Kafle, Christopher Kanan
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. ECCV (20) (2022)
Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordóñez Román
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations. CoRR (2022)
Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia
AESOP: Abstract Encoding of Stories, Objects, and Pictures. ICCV (2021)
Robik Shrestha, Kushal Kafle, Christopher Kanan
An Investigation of Critical Issues in Bias Mitigation Techniques. CoRR (2021)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
Learning To Predict Visual Attributes in the Wild. CVPR (2021)
Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava
Learning to Predict Visual Attributes in the Wild. CoRR (2021)
Robik Shrestha, Kushal Kafle, Christopher Kanan
A negative case analysis of visual grounding methods for VQA. CoRR (2020)
Damien Teney, Kushal Kafle, Robik Shrestha, Ehsan Abbasnejad, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. CoRR (2020)
Damien Teney, Ehsan Abbasnejad, Kushal Kafle, Robik Shrestha, Christopher Kanan, Anton van den Hengel
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law. NeurIPS (2020)
Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. WACV (2020)
Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan
Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR (2020)
Robik Shrestha, Kushal Kafle, Christopher Kanan
A negative case analysis of visual grounding methods for VQA. ACL (2020)
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) (2020)
Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. CoRR (2019)
Robik Shrestha, Kushal Kafle, Christopher Kanan
Answer Them All! Toward Universal Visual Question Answering Models. CVPR (2019)
Manoj Acharya, Kushal Kafle, Christopher Kanan
TallyQA: Answering Complex Counting Questions. AAAI (2019)
Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan
REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR (2019)
Kushal Kafle, Robik Shrestha, Christopher Kanan
Challenges and Prospects in Vision and Language Research. CoRR (2019)
Robik Shrestha, Kushal Kafle, Christopher Kanan
Answer Them All! Toward Universal Visual Question Answering Models. CoRR (2019)
Kushal Kafle, Robik Shrestha, Christopher Kanan
Challenges and Prospects in Vision and Language Research. Frontiers Artif. Intell. 2 (2019)
Manoj Acharya, Kushal Kafle, Christopher Kanan
TallyQA: Answering Complex Counting Questions. CoRR (2018)
Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan
DVQA: Understanding Data Visualizations via Question Answering. CVPR (2018)
Kushal Kafle, Scott Cohen, Brian L. Price, Christopher Kanan
DVQA: Understanding Data Visualizations via Question Answering. CoRR (2018)
Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan
Data Augmentation for Visual Question Answering. INLG (2017)
Kushal Kafle, Christopher Kanan
An Analysis of Visual Question Answering Algorithms. CoRR (2017)
Kushal Kafle, Christopher Kanan
Visual question answering: Datasets, algorithms, and future challenges. Comput. Vis. Image Underst. 163 (2017)
Kushal Kafle, Christopher Kanan
An Analysis of Visual Question Answering Algorithms. ICCV (2017)
Kushal Kafle, Christopher Kanan
Visual Question Answering: Datasets, Algorithms, and Future Challenges. CoRR (2016)
Kushal Kafle, Christopher Kanan
Answer-Type Prediction for Visual Question Answering. CVPR (2016)