Kafle, Kushal

21 publications

ICCV 2025 Calibrating MLLM-as-a-Judge via Multimodal Bayesian Prompt Ensembles Eric Slyman, Mehrab Tanjim, Kushal Kafle, Stefan Lee

ICCV 2025 Improving Large Vision and Language Models by Learning from a Panel of Peers Jefferson Hernandez, Jing Shi, Simon Jenni, Vicente Ordonez, Kushal Kafle

CVPRW 2025 Revisiting Multi-Modal LLM Evaluation Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

ICLRW 2025 Revisiting Multi-Modal LLM Evaluation Jian Lu, Shikhar Srivastava, Junyu Chen, Robik Singh Shrestha, Manoj Acharya, Kushal Kafle, Christopher Kanan

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

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

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

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

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

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

WACV 2022 An Investigation of Critical Issues in Bias Mitigation Techniques Robik Shrestha, Kushal Kafle, Christopher Kanan

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

ECCV 2022 OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses Robik Shrestha, Kushal Kafle, Christopher Kanan

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

CVPR 2021 Learning to Predict Visual Attributes in the Wild Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

WACV 2020 Answering Questions About Data Visualizations Using Efficient Bimodal Fusion Kushal Kafle, Robik Shrestha, Scott Cohen, Brian Price, Christopher Kanan

NeurIPS 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

ECCV 2020 REMIND Your Neural Network to Prevent Catastrophic Forgetting Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

AAAI 2019 TallyQA: Answering Complex Counting Questions Manoj Acharya, Kushal Kafle, Christopher Kanan

ICCV 2017 An Analysis of Visual Question Answering Algorithms Kushal Kafle, Christopher Kanan

CVPR 2016 Answer-Type Prediction for Visual Question Answering Kushal Kafle, Christopher Kanan