Arpita Chowdhury

According to our database, Arpita Chowdhury authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

AVA-Bench: Atomic Visual Ability Benchmark for Vision Foundation Models.

Zheda Mai, Arpita Chowdhury, Zihe Wang, Sooyoung Jeon, Lemeng Wang, Jiacheng Hou, Jihyung Kil, Wei-Lun Chao

CoRR, June, 2025

Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained Analysis.

Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

CoRR, January, 2025

Static Segmentation by Tracking: A Frustratingly Label-Efficient Approach to Fine-Grained Segmentation.

Zhenyang Feng, Zihe Wang, Saul Ibaven Bueno, Tomasz Frelek, Advikaa Ramesh, Jingyan Bai, Lemeng Wang, Zanming Huang, Jianyang Gu, Jinsu Yoo, Tai-Yu Pan, Arpita Chowdhury, Michelle Ramirez, Elizabeth G. Campolongo, Matthew J. Thompson, Christopher G. Lawrence, Sydne Record, Neil Rosser, Anuj Karpatne, Daniel I. Rubenstein, Hilmar Lapp, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

CoRR, January, 2025

Finer-CAM: Spotting the Difference Reveals Finer Details for Visual Explanation.

Ziheng Zhang, Jianyang Gu, Arpita Chowdhury, Zheda Mai, David Carlyn, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis.

Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai, Jianyang Gu, Ziheng Zhang, Kazi Sajeed Mehrab, Elizabeth G. Campolongo, Daniel I. Rubenstein, Charles V. Stewart, Anuj Karpatne, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.

Jihyung Kil, Zheda Mai, Justin Lee, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Arpita Chowdhury, Wei-Lun Chao

CoRR, 2024

Fine-Tuning is Fine, if Calibrated.

Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Y. Berger-Wolf, Song Gao, Charles V. Stewart, Yu Su, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

MLLM-CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.

Jihyung Kil, Zheda Mai, Justin Lee, Arpita Chowdhury, Zihe Wang, Kerrie Cheng, Lemeng Wang, Ye Liu, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.

Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Edward Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel I. Rubenstein, Charles V. Stewart, Tanya Y. Berger-Wolf, Yu Su, Wei-Lun Chao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2018

Modeling the Role of C2C Information Quality on Purchase Decision in Facebook.

Rafita Haque, Imran Mahmud, Md. Hasan Sharif, S. Rayhan Kabir, Arpita Chowdhury, Farzana Akter, Amatul Bushra Akhi

Proceedings of the Challenges and Opportunities in the Digital Era, 2018