Kushal Kafle

Research Scientist

San Jose

Kushal is a research scientist in the Creative Intelligence Lab (CIL) at Adobe Research. He completed his PhD at Rochester Institute of Technology in 2020, and has been affiliated with Adobe Research since March, 2020.

Kushal’s research focuses on problems at the intersection of computer vision and natural language processing. Kushal is also interested in bias in machine learning and how to avoid them.

More about Kushal can be found in his personal webpage: https://kushalkafle.com

A complete list of his publications is on Google Scholar. The list below is not updated frequently.

Publications

FineMatch: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction

Hua, H., Shi, J., Kafle, K., Jenni, S., Zhang, D., Collomosse, J., Cohen, S., Liu, J. (Oct. 1, 2024)

European Conference on Computer Vision (ECCV)

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

Slyman, E., Lee, S., Cohen, S., Kafle, K. (Jun. 17, 2024)

CVPR 2024

Building Vision-Language Models on Solid Foundations with Masked Distillation

Sameni, S., Kafle, K., Tan, H., Jenni, S. (Jun. 17, 2024)

CVPR 2024

Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations

Yang, Z., Kafle, K., Dernoncourt, F., Ordonez, V. (Jun. 22, 2023)

CVPR 2023

Answering Questions About Data Visualizations using Efficient Bimodal Fusion

Kafle, K., Shrestha, R., Price, B., Cohen, S., Kanan, C. (Mar. 1, 2020)

WACV 2020

DVQA: Understanding Data Visualization via Question Answering

Kafle, K., Cohen, S., Price, B., Kanan, C. (Jun. 18, 2018)

Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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