Answer-Type Prediction for Visual Question Answering. - Kushal Kafle; Christopher Kanan (CVPR, 2016)

An Analysis of Visual Question Answering Algorithms. - Kushal Kafle; Christopher Kanan (ICCV, 2017)

Data Augmentation for Visual Question Answering. - Kushal Kafle; Mohammed A. Yousefhussien; Christopher Kanan (INLG, 2017)

Visual question answering: Datasets, algorithms, and future challenges. - Kushal Kafle; Christopher Kanan (Comput. Vis. Image Underst., 2017)

DVQA: Understanding Data Visualizations via Question Answering. - Kushal Kafle; Brian L. Price; Scott Cohen; Christopher Kanan (CVPR, 2018)

TallyQA: Answering Complex Counting Questions. - Manoj Acharya; Kushal Kafle; Christopher Kanan (AAAI, 2019)

Answer Them All! Toward Universal Visual Question Answering Models. - Robik Shrestha; Kushal Kafle; Christopher Kanan (CVPR, 2019)

Challenges and Prospects in Vision and Language Research. - Kushal Kafle; Robik Shrestha; Christopher Kanan (Frontiers Artif. Intell., 2019)

A negative case analysis of visual grounding methods for VQA. - Robik Shrestha; Kushal Kafle; Christopher Kanan (ACL, 2020)

REMIND Your Neural Network to Prevent Catastrophic Forgetting. - Tyler L. Hayes; Kushal Kafle; Robik Shrestha; Manoj Acharya; Christopher Kanan (ECCV (8), 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 (NeurIPS, 2020)

Answering Questions about Data Visualizations using Efficient Bimodal Fusion. - Kushal Kafle; Robik Shrestha; Brian L. Price; Scott Cohen; Christopher Kanan (WACV, 2020)

Do We Need Fully Connected Output Layers in Convolutional Networks? - Zhongchao Qian; Tyler L. Hayes; Kushal Kafle; Christopher Kanan (CoRR, 2020)

Learning To Predict Visual Attributes in the Wild. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (CVPR, 2021)

AESOP: Abstract Encoding of Stories, Objects, and Pictures. - Hareesh Ravi; Kushal Kafle; Scott Cohen; Jonathan Brandt; Mubbasir Kapadia (ICCV, 2021)

Debiasing Image-to-Image Translation Models. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (BMVC, 2022)

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (ECCV (25), 2022)

OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses. - Robik Shrestha; Kushal Kafle; Christopher Kanan (ECCV (20), 2022)

An Investigation of Critical Issues in Bias Mitigation Techniques. - Robik Shrestha; Kushal Kafle; Christopher Kanan (WACV, 2022)

Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations. - Ziyan Yang; Kushal Kafle; Franck Dernoncourt; Vicente Ordonez (CVPR, 2023)

Building Vision-Language Models on Solid Foundations with Masked Distillation. - Sepehr Sameni; Kushal Kafle; Hao Tan 002; Simon Jenni (CVPR, 2024)

FairDeDup: Detecting and Mitigating Vision-Language Fairness Disparities in Semantic Dataset Deduplication. - Eric Slyman; Stefan Lee; Scott Cohen; Kushal Kafle (CVPR, 2024)

FineMatch: Aspect-Based Fine-Grained Image and Text Mismatch Detection and Correction. - Hang Hua; Jing Shi 005; Kushal Kafle; Simon Jenni; Daoan Zhang; John P. Collomosse; Scott Cohen; Jiebo Luo 001 (ECCV (9), 2024)

Discovering and Mitigating Biases in CLIP-based Image Editing. - Md. Mehrab Tanjim; Krishna Kumar Singh; Kushal Kafle; Ritwik Sinha; Garrison W. Cottrell (WACV, 2024)

SCoRD: Subject-Conditional Relation Detection with Text-Augmented Data. - Ziyan Yang; Kushal Kafle; Zhe Lin 001; Scott Cohen; Zhihong Ding; Vicente Ordonez (WACV, 2024)

They're All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias. - Salma Abdel Magid; Jui-Hsien Wang; Kushal Kafle; Hanspeter Pfister (CoRR, 2024)

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities. - Savya Khosla; Aditi Tiwari; Kushal Kafle; Simon Jenni; Handong Zhao; John P. Collomosse; Jing Shi 005 (ACL (1), 2025)

Revisiting Multi-Modal LLM Evaluation. - Jian Lu; Shikhar Srivastava 001; Junyu Chen; Robik Shrestha; Manoj Acharya; Kushal Kafle; Christopher Kanan (CVPR Workshops, 2025)

MAGNET: Augmenting Generative Decoders with Representation Learning and Infilling Capabilities. - Savya Khosla; Kushal Kafle; Simon Jenni; Handong Zhao; John P. Collomosse; Jing Shi 005 (CoRR, 2025)

MS4UI: A Dataset for Multi-modal Summarization of User Interface Instructional Videos. - Yuan Zang; Hao Tan 002; Seunghyun Yoon 002; Franck Dernoncourt; Jiuxiang Gu; Kushal Kafle; Chen Sun 002; Trung Bui (CoRR, 2025)