378 Data and Decision Sciences Building
727 Prices Fork Rd
Blacksburg, VA 24060
I am an Assistant Professor in the Department of Computer Science at Virginia Tech. My research is in computer vision. I am interested in many problems requiring reasoning across multimodal data, such as cross-modal retrieval, high-level content understanding, and multimodal knowledge representation. I am associated with the Sanghani Center for Artificial Intelligence and Data Analytics.
Prior to joining Virginia Tech, I was a postdoctoral researcher at Columbia University working with Professor Shih-Fu Chang. I received my Ph.D. in Computer Science from the Department of Computer Science at the University of Pittsburgh in 2020. My advisor was Professor Adriana Kovashka.
Note: I am currently recruiting strong and motivated students to join our growing group! Please visit the Prospective Students page for details.
|Jul 2022||Our paper on fine-grained visual entailment was accepted to ECCV 2022|
|Jun 2022||Our journal article on using weak caption supervision for object detection was accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI)|
|Aug 2021||Awarded ICCV 2021 Outstanding Reviewer|
|Jun 2021||Our journal article on predicting visual political bias was accepted to the International Journal of Computer Vision|
|May 2021||Our paper on fine-grained cross-modal consistency checking for fake news detection was accepted as an oral to ACL 2021|
|May 2021||Awarded CVPR 2021 Outstanding Reviewer|
- Fine-Grained Visual EntailmentIn Proceedings of the European Conference on Computer Vision, 2022
- InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News DetectionIn Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021
- Preserving Semantic Neighborhoods for Robust Cross-modal RetrievalIn Proceedings of the European Conference on Computer Vision (ECCV), 2020
- Predicting the politics of an image using webly supervised dataIn Advances in Neural Information Processing Systems (NeurIPS 2019), 2019