Supervised local sparsity preserving projection for face feature extraction. - Xiao-Yuan Jing; Sheng Li 001; Songhao Zhu; Qian Liu 010; Jingyu Yang 001; Jiasen Lu (ACPR, 2011)

Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. - Xiao-Yuan Jing; Sheng Li 001; Wen-Qian Li; Yong-Fang Yao; Chao Lan; Jiasen Lu; Jing-Yu Yang 001 (Sensors, 2012)

Human action segmentation with hierarchical supervoxel consistency. - Jiasen Lu; Ran Xu 001; Jason J. Corso (CVPR, 2015)

VQA: Visual Question Answering. - Stanislaw Antol; Aishwarya Agrawal; Jiasen Lu; Margaret Mitchell; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Hierarchical Question-Image Co-Attention for Visual Question Answering. - Jiasen Lu; Jianwei Yang; Dhruv Batra; Devi Parikh (NIPS, 2016)

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. - Jiasen Lu; Caiming Xiong; Devi Parikh; Richard Socher (CVPR, 2017)

ParlAI: A Dialog Research Software Platform. - Alexander H. Miller; Will Feng; Dhruv Batra; Antoine Bordes; Adam Fisch; Jiasen Lu; Devi Parikh; Jason Weston (EMNLP (System Demonstrations), 2017)

Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. - Jiasen Lu; Anitha Kannan; Jianwei Yang; Devi Parikh; Dhruv Batra (NIPS, 2017)

VQA: Visual Question Answering - www.visualqa.org. - Aishwarya Agrawal; Jiasen Lu; Stanislaw Antol; Margaret Mitchell; C. Lawrence Zitnick; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2017)

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. - Jianwei Yang; Jiasen Lu; Stefan Lee; Dhruv Batra; Devi Parikh (CoRL, 2018)

Neural Baby Talk. - Jiasen Lu; Jianwei Yang; Dhruv Batra; Devi Parikh (CVPR, 2018)

Graph R-CNN for Scene Graph Generation. - Jianwei Yang; Jiasen Lu; Stefan Lee; Dhruv Batra; Devi Parikh (ECCV (1), 2018)

Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. - Chih-Yao Ma; Jiasen Lu; Zuxuan Wu; Ghassan AlRegib; Zsolt Kira; Richard Socher; Caiming Xiong (ICLR (Poster), 2019)

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. - Jiasen Lu; Dhruv Batra; Devi Parikh; Stefan Lee (NeurIPS, 2019)

Emergence of Compositional Language with Deep Generational Transmission. - Michael Cogswell; Jiasen Lu; Stefan Lee; Devi Parikh; Dhruv Batra (CoRR, 2019)

12-in-1: Multi-Task Vision and Language Representation Learning. - Jiasen Lu; Vedanuj Goswami; Marcus Rohrbach; Devi Parikh; Stefan Lee (CVPR, 2020)

Spatially Aware Multimodal Transformers for TextVQA. - Yash Kant; Dhruv Batra; Peter Anderson; Alexander G. Schwing; Devi Parikh; Jiasen Lu; Harsh Agrawal (ECCV (9), 2020)

X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. - Jaemin Cho 001; Jiasen Lu; Dustin Schwenk; Hannaneh Hajishirzi; Aniruddha Kembhavi (EMNLP (1), 2020)

Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. - Michael Cogswell; Jiasen Lu; Rishabh Jain; Stefan Lee; Devi Parikh; Dhruv Batra (NeurIPS, 2020)

Visually Grounded Language Understanding and Generation. - Jiasen Lu (2020)

Transferable Feature Learning on Graphs Across Visual Domains. - Ronghang Zhu; Xiaodong Jiang; Jiasen Lu; Sheng Li 001 (ICME, 2021)

Container: Context Aggregation Networks. - Peng Gao 007; Jiasen Lu; Hongsheng Li 001; Roozbeh Mottaghi; Aniruddha Kembhavi (NeurIPS, 2021)

Container: Context Aggregation Network. - Peng Gao 007; Jiasen Lu; Hongsheng Li 001; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2021)

A Simple Long-Tailed Recognition Baseline via Vision-Language Model. - Teli Ma; Shijie Geng; Mengmeng Wang 005; Jing Shao; Jiasen Lu; Hongsheng Li 001; Peng Gao 007; Yu Qiao 001 (CoRR, 2021)

Multi-Modal Answer Validation for Knowledge-Based VQA. - Jialin Wu; Jiasen Lu; Ashish Sabharwal; Roozbeh Mottaghi (AAAI, 2022)

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. - Rowan Zellers; Jiasen Lu; Ximing Lu; Youngjae Yu; Yanpeng Zhao; Mohammadreza Salehi; Aditya Kusupati; Jack Hessel; Ali Farhadi; Yejin Choi 001 (CVPR, 2022)

ASC me to Do Anything: Multi-task Training for Embodied AI. - Jiasen Lu; Jordi Salvador; Roozbeh Mottaghi; Aniruddha Kembhavi (CoRR, 2022)

UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. - Jiasen Lu; Christopher Clark; Rowan Zellers; Roozbeh Mottaghi; Aniruddha Kembhavi (ICLR, 2023)

Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. - Ronghang Zhu; Xiaodong Jiang; Jiasen Lu; Sheng Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. - Jiasen Lu; Christopher Clark; Sangho Lee 008; Zichen Zhang 016; Savya Khosla; Ryan Marten; Derek Hoiem; Aniruddha Kembhavi (CVPR, 2024)

Preserving Identity with Variational Score for General-purpose 3D Editing. - Duong H. Le 001; Tuan Pham; Aniruddha Kembhavi; Stephan Mandt; Wei-Chiu Ma; Jiasen Lu (CoRR, 2024)

SoupLM: Model Integration in Large Language and Multi-Modal Models. - Yue Bai; Zichen Zhang 016; Jiasen Lu; Yun Fu 001 (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

MM-Ego: Towards Building Egocentric Multimodal LLMs. - Hanrong Ye; Haotian Zhang 005; Erik A. Daxberger; Lin Chen 010; Zongyu Lin; Yanghao Li; Bowen Zhang 002; Haoxuan You; Dan Xu 002; Zhe Gan; Jiasen Lu; Yinfei Yang (CoRR, 2024)

One Diffusion to Generate Them All. - Duong H. Le 001; Tuan Pham; Sangho Lee 008; Christopher Clark; Aniruddha Kembhavi; Stephan Mandt; Ranjay Krishna; Jiasen Lu (CoRR, 2024)

STIV: Scalable Text and Image Conditioned Video Generation. - Zongyu Lin; Wei Liu; Chen Chen 005; Jiasen Lu; Wenze Hu; Tsu-Jui Fu; Jesse Allardice; Zhengfeng Lai; Liangchen Song; Bowen Zhang 002; Cha Chen; Yiran Fei; et al. (CoRR, 2024)

One Diffusion to Generate Them All. - Duong H. Le 001; Tuan Pham; Sangho Lee 001; Christopher Clark; Aniruddha Kembhavi; Stephan Mandt; Ranjay Krishna; Jiasen Lu (CVPR, 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. - Zhaofeng Wu; Xinyan Velocity Yu; Dani Yogatama; Jiasen Lu; Yoon Kim (ICLR, 2025)

MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA. - Hanrong Ye; Haotian Zhang 005; Erik A. Daxberger; Lin Chen 010; Zongyu Lin; Yanghao Li; Bowen Zhang 002; Haoxuan You; Dan Xu 002; Zhe Gan; Jiasen Lu; Yinfei Yang (ICLR, 2025)

SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding. - Mingze Xu; Mingfei Gao; Shiyu Li; Jiasen Lu; Zhe Gan; Zhengfeng Lai; Meng Cao; Kai Kang; Yinfei Yang; Afshin Dehghan (CoRR, 2025)

GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing. - Yusu Qian; Jiasen Lu; Tsu-Jui Fu; Xinze Wang; Chen Chen; Yinfei Yang; Wenze Hu; Zhe Gan (CoRR, 2025)

UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation. - Rui Tian; Mingfei Gao; Mingze Xu; Jiaming Hu; Jiasen Lu; Zuxuan Wu; Yinfei Yang; Afshin Dehghan (CoRR, 2025)