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Kushal Kafle
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- affiliation: Adobe Research, USA
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Journal Articles
- 2019
- [j2]Kushal Kafle, Robik Shrestha, Christopher Kanan:
Challenges and Prospects in Vision and Language Research. Frontiers Artif. Intell. 2: 28 (2019) - 2017
- [j1]Kushal Kafle, Christopher Kanan:
Visual question answering: Datasets, algorithms, and future challenges. Comput. Vis. Image Underst. 163: 3-20 (2017)
Conference and Workshop Papers
- 2024
- [c22]Eric Slyman, Stefan Lee, Scott Cohen, Kushal Kafle:
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication. CVPR 2024: 13905-13916 - [c21]Sepehr Sameni, Kushal Kafle, Hao Tan, Simon Jenni:
Building Vision-Language Models on Solid Foundations with Masked Distillation. CVPR 2024: 14216-14226 - [c20]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. ECCV (9) 2024: 474-491 - [c19]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Discovering and Mitigating Biases in CLIP-based Image Editing. WACV 2024: 2972-2981 - [c18]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. WACV 2024: 5719-5729 - 2023
- [c17]Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordonez:
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. CVPR 2023: 19165-19174 - 2022
- [c16]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Debiasing Image-to-Image Translation Models. BMVC 2022: 182 - [c15]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: 201-219 - [c14]Robik Shrestha, Kushal Kafle, Christopher Kanan:
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. ECCV (20) 2022: 702-721 - [c13]Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. WACV 2022: 2512-2523 - 2021
- [c12]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning To Predict Visual Attributes in the Wild. CVPR 2021: 13018-13028 - [c11]Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia:
AESOP: Abstract Encoding of Stories, Objects, and Pictures. ICCV 2021: 2032-2043 - 2020
- [c10]Robik Shrestha, Kushal Kafle, Christopher Kanan:
A negative case analysis of visual grounding methods for VQA. ACL 2020: 8172-8181 - [c9]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. ECCV (8) 2020: 466-483 - [c8]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 - [c7]Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. WACV 2020: 1487-1496 - 2019
- [c6]Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. AAAI 2019: 8076-8084 - [c5]Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. CVPR 2019: 10472-10481 - 2018
- [c4]Kushal Kafle, Brian L. Price, Scott Cohen, Christopher Kanan:
DVQA: Understanding Data Visualizations via Question Answering. CVPR 2018: 5648-5656 - 2017
- [c3]Kushal Kafle, Christopher Kanan:
An Analysis of Visual Question Answering Algorithms. ICCV 2017: 1983-1991 - [c2]Kushal Kafle, Mohammed A. Yousefhussien, Christopher Kanan:
Data Augmentation for Visual Question Answering. INLG 2017: 198-202 - 2016
- [c1]Kushal Kafle, Christopher Kanan:
Answer-Type Prediction for Visual Question Answering. CVPR 2016: 4976-4984
Informal and Other Publications
- 2024
- [i20]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 abs/2404.14715 (2024) - [i19]Eric Slyman, Stefan Lee, Scott Cohen, Kushal Kafle:
FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication. CoRR abs/2404.16123 (2024) - [i18]Salma Abdel Magid, Jui-Hsien Wang, Kushal Kafle, Hanspeter Pfister:
They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias. CoRR abs/2406.11331 (2024) - [i17]Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan:
Revisiting Multi-Modal LLM Evaluation. CoRR abs/2408.05334 (2024) - 2023
- [i16]Ziyan Yang, Kushal Kafle, Zhe Lin, Scott Cohen, Zhihong Ding, Vicente Ordonez:
SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. CoRR abs/2308.12910 (2023) - 2022
- [i15]Robik Shrestha, Kushal Kafle, Christopher Kanan:
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. CoRR abs/2204.02426 (2022) - [i14]Ziyan Yang, Kushal Kafle, Franck Dernoncourt, Vicente Ordóñez Román:
Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations. CoRR abs/2206.15462 (2022) - 2021
- [i13]Robik Shrestha, Kushal Kafle, Christopher Kanan:
An Investigation of Critical Issues in Bias Mitigation Techniques. CoRR abs/2104.00170 (2021) - [i12]Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava:
Learning to Predict Visual Attributes in the Wild. CoRR abs/2106.09707 (2021) - 2020
- [i11]Robik Shrestha, Kushal Kafle, Christopher Kanan:
A negative case analysis of visual grounding methods for VQA. CoRR abs/2004.05704 (2020) - [i10]Zhongchao Qian, Tyler L. Hayes, Kushal Kafle, Christopher Kanan:
Do We Need Fully Connected Output Layers in Convolutional Networks? CoRR abs/2004.13587 (2020) - [i9]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 abs/2005.09241 (2020) - 2019
- [i8]Robik Shrestha, Kushal Kafle, Christopher Kanan:
Answer Them All! Toward Universal Visual Question Answering Models. CoRR abs/1903.00366 (2019) - [i7]Kushal Kafle, Robik Shrestha, Christopher Kanan:
Challenges and Prospects in Vision and Language Research. CoRR abs/1904.09317 (2019) - [i6]Kushal Kafle, Robik Shrestha, Brian L. Price, Scott Cohen, Christopher Kanan:
Answering Questions about Data Visualizations using Efficient Bimodal Fusion. CoRR abs/1908.01801 (2019) - [i5]Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan:
REMIND Your Neural Network to Prevent Catastrophic Forgetting. CoRR abs/1910.02509 (2019) - 2018
- [i4]Kushal Kafle, Scott Cohen, Brian L. Price, Christopher Kanan:
DVQA: Understanding Data Visualizations via Question Answering. CoRR abs/1801.08163 (2018) - [i3]Manoj Acharya, Kushal Kafle, Christopher Kanan:
TallyQA: Answering Complex Counting Questions. CoRR abs/1810.12440 (2018) - 2017
- [i2]Kushal Kafle, Christopher Kanan:
An Analysis of Visual Question Answering Algorithms. CoRR abs/1703.09684 (2017) - 2016
- [i1]Kushal Kafle, Christopher Kanan:
Visual Question Answering: Datasets, Algorithms, and Future Challenges. CoRR abs/1610.01465 (2016)
Coauthor Index
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