Lu, Jiasen
Allen Institute for Artificial Intelligence
8 papers on CoChat
Most cited papers
- Verified
VQA: Visual Question Answering
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra, D., Zitnick, C. L., & Parikh, D. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 4,487
- Verified
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
Lu, J., Batra, D., Parikh, D., & Lee, S. (2019) · arXiv
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 2,109
- Verified
VQA: Visual Question Answering: www.visualqa.org
Agrawal, A., Lu, J., Antol, S., Mitchell, M., Zitnick, C. L., Parikh, D., & Batra, D. (2017) · International Journal of Computer Vision
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 570
- Verified
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation
Ma, C.-Y., Lu, J., Wu, Z., AlRegib, G., Kira, Z., Socher, R., & Xiong, C. (2019) · arXiv
Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics
Cited by 200
- Verified
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
Lu, J., Clark, C., Zellers, R., Mottaghi, R., & Kembhavi, A. (2022) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 145
- Verified
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers
Cho, J., Lu, J., Schwenk, D., Hajishirzi, H., & Kembhavi, A. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 99
- Verified
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 67
- Verified
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
Deitke, M., Clark, C., Lee, S., Tripathi, R., Yang, Y., Park, J. S., Salehi, M., Muennighoff, N., Lo, K., Soldaini, L., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 67
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