Jiasen Lu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 43

Top Topics

Question Answering

Visual Recognition

Spatially Aware

Top Venues

Publications

Yue Bai, Zichen Zhang, Jiasen Lu, Yun Fu
SoupLM: Model Integration in Large Language and Multi-Modal Models. CoRR (2024)
Duong H. Le, Tuan Pham, Aniruddha Kembhavi, Stephan Mandt, Wei-Chiu Ma, Jiasen Lu
Preserving Identity with Variational Score for General-purpose 3D Editing. CoRR (2024)
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. ICLR (2023)
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR (2023)
Jiasen Lu, Jordi Salvador, Roozbeh Mottaghi, Aniruddha Kembhavi
ASC me to Do Anything: Multi-task Training for Embodied AI. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR (2022)
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
Multi-Modal Answer Validation for Knowledge-Based VQA. AAAI (2022)
Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks. CoRR (2022)
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR (2022)
Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
Transferable Feature Learning on Graphs Across Visual Domains. ICME (2021)
Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Container: Context Aggregation Networks. NeurIPS (2021)
Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao
A Simple Long-Tailed Recognition Baseline via Vision-Language Model. CoRR (2021)
Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
Container: Context Aggregation Network. CoRR (2021)
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
Multi-Modal Answer Validation for Knowledge-Based VQA. CoRR (2021)
Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. NeurIPS (2020)
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) (2020)
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
12-in-1: Multi-Task Vision and Language Representation Learning. CVPR (2020)
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. EMNLP (1) (2020)
Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. CoRR (2020)
Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. CoRR (2020)
Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
Spatially Aware Multimodal Transformers for TextVQA. CoRR (2020)
Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. CoRR (2019)
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR (2019)
Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. NeurIPS (2019)
Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
Emergence of Compositional Language with Deep Generational Transmission. CoRR (2019)
Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
12-in-1: Multi-Task Vision and Language Representation Learning. CoRR (2019)
Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) (2019)
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
Graph R-CNN for Scene Graph Generation. ECCV (1) (2018)
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
Neural Baby Talk. CVPR (2018)
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. CoRR (2018)
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. CoRL (2018)
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
Graph R-CNN for Scene Graph Generation. CoRR (2018)
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
Neural Baby Talk. CoRR (2018)
Alexander H. Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, Jason Weston
ParlAI: A Dialog Research Software Platform. EMNLP (System Demonstrations) (2017)
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. NIPS (2017)
Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. CVPR (2017)
Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. CoRR (2017)
Alexander H. Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, Jason Weston
ParlAI: A Dialog Research Software Platform. CoRR (2017)
Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. 123 (1) (2017)
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
Hierarchical Question-Image Co-Attention for Visual Question Answering. CoRR (2016)
Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
Hierarchical Question-Image Co-Attention for Visual Question Answering. NIPS (2016)
Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. CoRR (2016)
Jiasen Lu, Ran Xu, Jason J. Corso
Human action segmentation with hierarchical supervoxel consistency. CVPR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. CoRR (2015)
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
VQA: Visual Question Answering. ICCV (2015)
Xiao-Yuan Jing, Sheng Li, Wen-Qian Li, Yong-Fang Yao, Chao Lan, Jiasen Lu, Jing-Yu Yang
Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. Sensors 12 (5) (2012)
Xiao-Yuan Jing, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, Jiasen Lu
Supervised local sparsity preserving projection for face feature extraction. ACPR (2011)