Licheng Yu

My name is Licheng Yu (虞立成). I completed my PhD in Computer Science from University of North Carolina at Chapel Hill in 2019 May. My advisor is Tamara L. Berg. I also work closely with Mohit Bansal during my PhD study. My research interest lies in computer vision and natural language processing.

I completed my Master's degrees from both Georgia Tech and Shanghai Jiaotong University in 2014. I received my Bachelor's degree from Shanghai Jiao Tong University.

Email: lichengyu [at] fb.com
Address: 1 Hacker Way, Menlo Park, CA 94025
More info: [Resume], [Google Scholar], [LinkedIn], [GitHub].

Highlights

As always: Academic Countdown
2024.02: 5 papers accepted by CVPR 2024.
2023.02: 3 papers accepted by CVPR 2023 and 1 paper accepted by ICLR 2023.
2022.07: 1 paper accepted by KDD 2022 (Talk) and 2 papers accepted by ECCV 2022.
2020.06: We are Winner of VQA 2020 Challenge.
2020.06: Organizer of LVVU 2020.
2020.01: TVR dataset for Large-Scale Multi-Modal TV Retrieval and Captioning released.
2018.08: Super cool TVQA dataset released.
2018.02: Referring Expression Demo online now (in CVPR2018).
2017.03: CVPR 2017 (spotlight presentation 8.0%). Talk is here.
2016.07: ECCV 2016 (spotlight presentation 4.7%). Talk is here.
2016.04: RefCOCO and RefCOCO+ dataset released: Referring Expression Dataset
2015.08: Visual Madlibs dataset released.

Work Experience

	2023.06—Present: 2022.07—2023.06: 2021.07—2022.07: 2020.03—2021.07:	Research Scientist Manager Staff Research Scientist Senior Research Scientist Research Scientist
	2019.06—2020.03:	Researcher
	Graduated
	2014.08—2019.05:	Research Assistant
	2018.05—2018.08:	Research Intern
	2017.05—2017.08:	Research Intern
	2016.05—2016.08:	Research Intern
	2011.09—2014.04:	Research Assistant

Projects & Publications

	Animated Stickers: Bringing Stickers to Life with Video Diffusion arXiv:2402.06088 David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schoenfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali Thabet, Peter Vajda, Amy Bearman, Licheng Yu [Paper]
	AVID: Any-Length Video Inpainting with Diffusion Model CVPR 2024 Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris Metaxas, Licheng Yu [Paper][Project][Video]
	SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Integrated Character-Level Diffusion and Contextual Consistency CVPR 2024 Qilong Zhangli, Praveen Krishnan, Ankit Ramchandani, Xiaoliang Dai, Licheng Yu, Di Liu, Jindong Jiang, Dimitris N. Metaxas, Guan Pang [Paper]
	FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis CVPR 2024 Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu [Paper][Project]
	Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis CVPR 2024 Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda [Paper][Project]
	VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence CVPR 2024 Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang [Paper][Project]
	Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression arXiv:2311.10794 Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan [Paper]
	CiT: Curation in Training for Effective Vision-Language Data ICCV 2023 Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh Luke Zettlemoyer, Christoph Feichtenhofe [Paper][Code]
	Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation CVPR 2023 Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell [Paper][Project][Code][Slides][Video]
	Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations CVPR 2023 Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li [Paper][Code]
	FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks CVPR 2023 Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang [Paper][Code] (Oral)
	Learning and Verification of Task Structure in Instructional Videos arXiv:2303.13519 Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell [Paper][Project]
	AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes arXiv:2305.14725 Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang [Paper]
	RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data ICLR 2023 Sangwoo Mo, Jong-Chyi Su, Kevin Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell [Paper]
	Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace WWW 2023 Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash [Paper]
	FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning EMNLP 2022 Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang [Paper]
	FashionViL: Fashion-Focused Vision-and-Language Representation Learning ECCV 2022 Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang [Paper][Code]
	Generic Event Boundary Captioning: A Benchmark for Status Changes Understanding ECCV 2022 Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou [Paper]
	CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval KDD 2022 Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang [Paper][Blog][Poster][Talk]
	Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment CVPR 2022 Mingyang Zhou, Licheng Yu*, Amanpreet Singh, Mengjiao Wang, Yu Zhou, Ning Zhang (First 2 authors contribute equally.) [Paper][Code] (Oral)
	LOOPITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval arxiv:2203.05465v1 Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu [Paper]
	VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation NeurIPS 2021 Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu [Paper][Leaderboard]
	Connecting What to Say With Where to Look by Modeling Human Attention Traces CVPR 2021 Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman [Paper][Code]
	What is More Likely to Happen Next? Video-and-Language Future Event Prediction EMNLP 2020 Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal [Paper][Code]
	HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training EMNLP 2020 Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu (*First 2 authors contribute equally.) [Paper][Code][Blog] Rank 1 on TVR Leaderboard Rank 1 on TVC Leaderboard
	Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models ECCV 2020 Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu [Paper] (Spotlight)
	TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval ECCV 2020 Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal [Paper] [Dataset] [Code (Retrieval)] [Code (Captioning)]
	UNITER: Learning UNiversal Image-Text Representations ECCV 2020 Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu (First 3 authors contribute equally.) [Paper] [Dataset] [Code] Achieving SOTA on 13 Vision+Language Datasets/Tasks, and Rank 1 on VCR Leaderboard Rank 1 on NLVR2 Leaderboard
	TVQA+: Spatio-Temporal Grounding for Video Question Answering ACL 2020 Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal [Paper] [Dataset]
	BachGAN: High-Resolution Image Synthesis from Salient Object Layout CVPR 2020 Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu [Paper][Code]
	VIOLIN: A Large-Scale Dataset for Video-and-Language Inference CVPR 2020 Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu [Paper] [Dataset]
	Multi-Target Embodied Question Answering CVPR 2019 Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra [Paper] [Video]
	Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout NAACL 2019 Hao Tan, Licheng Yu, Mohit Bansal Room-to-Room Vision-Language-Navigation Leaderboard Rank 1 [Paper] [Code]
	TVQA: Localized Compositional Video Question Answering EMNLP 2018 Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg [Paper] [Project] [Explore] (Oral)
	MAttNet: Modular Attention Network for Referring Expression Comprehension CVPR 2018 Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg [Paper] [Demo] [Code] [Project]
	From Image to Language and Back Again Journal of Natural Language Engineering (JNLE), 2018 Anya Belz, Tamara L. Berg, Licheng Yu [Paper]
	Physics-Inspired Garment Recovery from a Single-View Image ACM Transactions on Graphics, 2018 Shan Yang, Tanya Ambert, Zherong Pan, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin [Paper][Video]
	A Unified Framework for Manifold Landmarking IEEE Transactions on Signal Processing, 2018 Hongteng Xu, Licheng Yu, Mark Davenport, Hongyuan Zha [Paper]
	Hierarchically-Attentive RNN for Album Summarization and Storytelling EMNLP 2017 Licheng Yu, Mohit Bansal, Tamara L. Berg [Paper] [Dataset API]
	A Joint Speaker-Listener-Reinforcer Model for Referring Expressions CVPR 2017 Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg [Paper] [Code] [Project] [Talk] (Spotlight presentation 8%)
	Modeling Context in Referring Expressions ECCV 2016 Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg [Paper] [Dataset] [Talk] (Spotlight presentation 4.7%)
	Visual Madlibs: Fill-in-the-blank Image Description and Question Answering ICCV 2015 Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg [Paper][Project][Spotlight Video][Supplementary File]
	Dictionary Learning with Mutually Reinforcing Group-Graph Structures AAAI 2015 Licheng Yu, Hongteng Xu, Hongyuan Zha, Yi Xu (* denotes equal contribution) [Paper]
	Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis IEEE Transactions on Image Processing, TIP 2015 Yi Xu, Licheng Yu, Hongteng Xu, Truong Nguyen, Hao Zhang [Paper][Code]
	Quaternion-based Sparse Representation of Color Image IEEE International Conference on Multimedia and Expo, ICME 2013 Licheng Yu, Yi Xu, Hongteng Xu, Hao Zhang [Paper][Supplementary File] (Oral presentation)
	Single Image Super-resolution via Phase Congruency Analysis IEEE Visual Communications and Image Processing, VCIP 2013 Licheng Yu, Yi Xu, Bo Zhang [Paper] (Oral presentation)
	Self-Example Based Super-resolution with Fractal-based Gradient Enhancement IEEE International Conference on Multimedia and Expo, ICME workshop 2013 Licheng Yu, Yi Xu, Hongteng Xu [Paper]
	Robust Single Image Super-resolution based on Gradient Enhancement APSIPA Annual Summit and Conference, APSIPA 2012 Licheng Yu, Yi Xu, Hongteng Xu, Xiaokang Yang [Paper][Sample Video]

Miscellaneous

	Self-supervised Learning for Vision-and-Language Recent Advances in Vision-and-Language Research CVPR 2020 Tutorial Licheng Yu, Linjie Li, Yen-Chun Chen [Slides][Youtube][Bilibili]
	Revisiting Grid Features for VQA Duy-Kien Nguyen, Huaizu Jiang, Vedanuj Goswami, Licheng Yu, Xinlei Chen Winner of VQA 2020 Challenge [Workshop][Slides][Video]
	Gobang Android App (AI mode + 2-player mode) Licheng Yu [Technical Report][Demo]
	Skill Measurement via Egocentric Vision in Wetlab Licheng Yu, Yin Li, James Rehg [Technical Report]

PhD Thesis: "Question Answering, Grounding, and Generation for Vision and Language" [PDF][Talk]