Jiasen Lu - RankMe

68 papers A* 16A 1Misc 1Journal 41Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos. CoRR Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu, Ali Farhadi, Shenlong Wang, Wei-Chiu Ma
2025	J	`jnl`	AToken: A Unified Tokenizer for Vision. CoRR Jiasen Lu, Liangchen Song, Mingze Xu, Byeongjoo Ahn, Yanjun Wang, Chen Chen, Afshin Dehghan, Yinfei Yang
2025	J	`jnl`	Autoregressive Video Generation beyond Next Frames Prediction. CoRR Sucheng Ren, Chen Chen, Zhenbang Wang, Liangchen Song, Xiangxin Zhu, Alan L. Yuille, Yinfei Yang, Jiasen Lu
2025	J	`jnl`	CAR-Flow: Condition-Aware Reparameterization Aligns Source and Target for Better Flow Matching. CoRR Chen Chen, Pengsheng Guo, Liangchen Song, Jiasen Lu, Rui Qian, Xinze Wang, Tsu-Jui Fu, Wei Liu, Yinfei Yang, Alex Schwing
2025	J	`jnl`	GIE-Bench: Towards Grounded Evaluation for Text-Guided Image Editing. CoRR Yusu Qian, Jiasen Lu, Tsu-Jui Fu, Xinze Wang, Chen Chen, Yinfei Yang, Wenze Hu, Zhe Gan
2025	A*	`conf`	MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA. ICLR Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang
2025	A*	`conf`	Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. CVPR Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2025	A*	`conf`	One Diffusion to Generate Them All. CVPR Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu
2025	J	`jnl`	Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editing. CoRR Yusu Qian, Eli Bocek-Rivele, Liangchen Song, Jialing Tong, Yinfei Yang, Jiasen Lu, Wenze Hu, Zhe Gan
2025	J	`jnl`	SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding. CoRR Mingze Xu, Mingfei Gao, Shiyu Li, Jiasen Lu, Zhe Gan, Zhengfeng Lai, Meng Cao, Kai Kang, Yinfei Yang, Afshin Dehghan
2025	A*	`conf`	The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. ICLR Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
2025	J	`jnl`	UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning. CoRR Rui Tian, Mingfei Gao, Haiming Gang, Jiasen Lu, Zhe Gan, Yinfei Yang, Zuxuan Wu, Afshin Dehghan
2025	J	`jnl`	UniGen: Enhanced Training & Test-Time Strategies for Unified Multimodal Understanding and Generation. CoRR Rui Tian, Mingfei Gao, Mingze Xu, Jiaming Hu, Jiasen Lu, Zuxuan Wu, Yinfei Yang, Afshin Dehghan
2024	J	`jnl`	MM-Ego: Towards Building Egocentric Multimodal LLMs. CoRR Hanrong Ye, Haotian Zhang, Erik A. Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang
2024	J	`jnl`	Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2024	J	`jnl`	One Diffusion to Generate Them All. CoRR Duong H. Le, Tuan Pham, Sangho Lee, Christopher Clark, Aniruddha Kembhavi, Stephan Mandt, Ranjay Krishna, Jiasen Lu
2024	J	`jnl`	Preserving Identity with Variational Score for General-purpose 3D Editing. CoRR Duong H. Le, Tuan Pham, Aniruddha Kembhavi, Stephan Mandt, Wei-Chiu Ma, Jiasen Lu
2024	J	`jnl`	STIV: Scalable Text and Image Conditioned Video Generation. CoRR Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Yifan Jiang, Lezhi Li, Yizhou Sun, Kai-Wei Chang, Yinfei Yang
2024	J	`jnl`	SoupLM: Model Integration in Large Language and Multi-Modal Models. CoRR Yue Bai, Zichen Zhang, Jiasen Lu, Yun Fu
2024	J	`jnl`	The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities. CoRR Zhaofeng Wu, Xinyan Velocity Yu, Dani Yogatama, Jiasen Lu, Yoon Kim
2024	A*	`conf`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CVPR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2023	J	`jnl`	Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2023	A*	`conf`	UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks. ICLR Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2023	J	`jnl`	Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action. CoRR Jiasen Lu, Christopher Clark, Sangho Lee, Zichen Zhang, Savya Khosla, Ryan Marten, Derek Hoiem, Aniruddha Kembhavi
2022	J	`jnl`	ASC me to Do Anything: Multi-task Training for Embodied AI. CoRR Jiasen Lu, Jordi Salvador, Roozbeh Mottaghi, Aniruddha Kembhavi
2022	A*	`conf`	MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	J	`jnl`	MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi
2022	A*	`conf`	Multi-Modal Answer Validation for Knowledge-Based VQA. AAAI Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
2022	J	`jnl`	Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks. CoRR Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
2021	J	`jnl`	A Simple Long-Tailed Recognition Baseline via Vision-Language Model. CoRR Teli Ma, Shijie Geng, Mengmeng Wang, Jing Shao, Jiasen Lu, Hongsheng Li, Peng Gao, Yu Qiao
2021	J	`jnl`	Container: Context Aggregation Network. CoRR Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
2021	A*	`conf`	Container: Context Aggregation Networks. NeurIPS Peng Gao, Jiasen Lu, Hongsheng Li, Roozbeh Mottaghi, Aniruddha Kembhavi
2021	J	`jnl`	Multi-Modal Answer Validation for Knowledge-Based VQA. CoRR Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi
2021	A	`conf`	Transferable Feature Learning on Graphs Across Visual Domains. ICME Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li
2020	A*	`conf`	12-in-1: Multi-Task Vision and Language Representation Learning. CVPR Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
2020	A*	`conf`	Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. NeurIPS Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
2020	J	`jnl`	Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. CoRR Michael Cogswell, Jiasen Lu, Rishabh Jain, Stefan Lee, Devi Parikh, Dhruv Batra
2020	—	`conf`	Spatially Aware Multimodal Transformers for TextVQA. ECCV (9) Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
2020	J	`jnl`	Spatially Aware Multimodal Transformers for TextVQA. CoRR Yash Kant, Dhruv Batra, Peter Anderson, Alexander G. Schwing, Devi Parikh, Jiasen Lu, Harsh Agrawal
2020	—	`—`	Visually Grounded Language Understanding and Generation. Jiasen Lu
2020	—	`conf`	X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. EMNLP (1) Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
2020	J	`jnl`	X-LXMERT: Paint, Caption and Answer Questions with Multi-Modal Transformers. CoRR Jaemin Cho, Jiasen Lu, Dustin Schwenk, Hannaneh Hajishirzi, Aniruddha Kembhavi
2019	J	`jnl`	12-in-1: Multi-Task Vision and Language Representation Learning. CoRR Jiasen Lu, Vedanuj Goswami, Marcus Rohrbach, Devi Parikh, Stefan Lee
2019	J	`jnl`	Emergence of Compositional Language with Deep Generational Transmission. CoRR Michael Cogswell, Jiasen Lu, Stefan Lee, Devi Parikh, Dhruv Batra
2019	—	`conf`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	J	`jnl`	Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong
2019	A*	`conf`	ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. NeurIPS Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
2019	J	`jnl`	ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. CoRR Jiasen Lu, Dhruv Batra, Devi Parikh, Stefan Lee
2018	—	`conf`	Graph R-CNN for Scene Graph Generation. ECCV (1) Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
2018	J	`jnl`	Graph R-CNN for Scene Graph Generation. CoRR Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
2018	A*	`conf`	Neural Baby Talk. CVPR Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
2018	J	`jnl`	Neural Baby Talk. CoRR Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
2018	Misc	`conf`	Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. CoRL Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
2018	J	`jnl`	Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. CoRR Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh
2017	—	`conf`	Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. NIPS Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
2017	J	`jnl`	Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. CoRR Jiasen Lu, Anitha Kannan, Jianwei Yang, Devi Parikh, Dhruv Batra
2017	A*	`conf`	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. CVPR Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
2017	—	`conf`	ParlAI: A Dialog Research Software Platform. EMNLP (System Demonstrations) Alexander H. Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, Jason Weston
2017	J	`jnl`	ParlAI: A Dialog Research Software Platform. CoRR Alexander H. Miller, Will Feng, Adam Fisch, Jiasen Lu, Dhruv Batra, Antoine Bordes, Devi Parikh, Jason Weston
2017	J	`jnl`	VQA: Visual Question Answering - www.visualqa.org. Int. J. Comput. Vis. Aishwarya Agrawal, Jiasen Lu, Stanislaw Antol, Margaret Mitchell, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
2016	—	`conf`	Hierarchical Question-Image Co-Attention for Visual Question Answering. NIPS Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
2016	J	`jnl`	Hierarchical Question-Image Co-Attention for Visual Question Answering. CoRR Jiasen Lu, Jianwei Yang, Dhruv Batra, Devi Parikh
2016	J	`jnl`	Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. CoRR Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher
2015	A*	`conf`	Human action segmentation with hierarchical supervoxel consistency. CVPR Jiasen Lu, Ran Xu, Jason J. Corso
2015	A*	`conf`	VQA: Visual Question Answering. ICCV Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2015	J	`jnl`	VQA: Visual Question Answering. CoRR Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh
2012	J	`jnl`	Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. Sensors Xiao-Yuan Jing, Sheng Li, Wenqian Li, Yong-Fang Yao, Chao Lan, Jiasen Lu, Jing-Yu Yang
2011	—	`conf`	Supervised local sparsity preserving projection for face feature extraction. ACPR Xiao-Yuan Jing, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, Jiasen Lu