Licheng Yu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 79

Top Topics

Text Representation

Cancer Patients

Referring Expressions

Diffusion Models

Top Venues

Publications

David Yan, Winnie Zhang, Luxin Zhang, Anmol Kalia, Dingkang Wang, Ankit Ramchandani, Miao Liu, Albert Pumarola, Edgar Schönfeld, Elliot Blanchard, Krishna Narni, Yaqiao Luo, Lawrence Chen, Guan Pang, Ali K. Thabet, Peter Vajda, Amy Bearman, Licheng Yu
Animated Stickers: Bringing Stickers to Life with Video Diffusion. CoRR (2024)
Barry Menglong Yao, Sijia Wang, Yu Chen, Qifan Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
Ameli: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. EACL (1) (2024)
Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR (2024)
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
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR (2023)
Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CVPR (2023)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. CoRR (2023)
Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CVPR (2023)
Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CoRR (2023)
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
CiT: Curation in Training for Effective Vision-Language Data. ICCV (2023)
Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mido Assran, Ishan Misra, Licheng Yu, Sean Bell
RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data. ICLR (2023)
Feng Liang, Bichen Wu, Jialiang Wang, Licheng Yu, Kunpeng Li, Yinan Zhao, Ishan Misra, Jia-Bin Huang, Peizhao Zhang, Peter Vajda, Diana Marculescu
FlowVid: Taming Imperfect Optical Flows for Consistent Video-to-Video Synthesis. CoRR (2023)
Barry Menglong Yao, Yu Chen, Qifan Wang, Sijia Wang, Minqian Liu, Zhiyang Xu, Licheng Yu, Lifu Huang
AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes. CoRR (2023)
Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. WWW (Companion Volume) (2023)
Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang, Yichen Jia, Kapil Krishnakumar, Tong Xiao, Feng Liang, Licheng Yu, Peter Vajda
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis. CoRR (2023)
Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR (2023)
Medhini Narasimhan, Licheng Yu, Sean Bell, Ning Zhang, Trevor Darrell
Learning and Verification of Task Structure in Instructional Videos. CoRR (2023)
Xiao Han, Xiatian Zhu, Licheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks. CoRR (2023)
Yiwu Zhong, Licheng Yu, Yang Bai, Shangwen Li, Xueting Yan, Yin Li
Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations. CVPR (2023)
Yunzhong He, Yuxin Tian, Mengjiao Wang, Feier Chen, Licheng Yu, Maolong Tang, Congcong Chen, Ning Zhang, Bin Kuang, Arul Prakash
Que2Engage: Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace. CoRR (2023)
Yuchao Gu, Yipin Zhou, Bichen Wu, Licheng Yu, Jia-Wei Liu, Rui Zhao, Jay Zhangjie Wu, David Junhao Zhang, Mike Zheng Shou, Kevin Tang
VideoSwap: Customized Video Subject Swapping with Interactive Semantic Point Correspondence. CoRR (2023)
Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
CiT: Curation in Training for Effective Vision-Language Data. CoRR (2023)
Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. CoRR (2022)
Jie Lei, Xinlei Chen, Ning Zhang, Mengjiao Wang, Mohit Bansal, Tamara L. Berg, Licheng Yu
LoopITR: Combining Dual and Cross Encoder Architectures for Image-Text Retrieval. CoRR (2022)
Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. ECCV (35) (2022)
Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CoRR (2022)
Xiao Han, Licheng Yu, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang
FashionViL: Fashion-Focused Vision-and-Language Representation Learning. CoRR (2022)
Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang, Yu Chen, Tamara L. Berg, Ning Zhang
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. KDD (2022)
Yuxuan Wang, Difei Gao, Licheng Yu, Weixian Lei, Matt Feiszli, Mike Zheng Shou
GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and Retrieval. ECCV (35) (2022)
Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. EMNLP (2022)
Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang
Unsupervised Vision-and-Language Pre-training via Retrieval-based Multi-Granular Alignment. CoRR (2022)
Yuxuan Wang, Difei Gao, Licheng Yu, Stan Weixian Lei, Matt Feiszli, Mike Zheng Shou
GEB+: A benchmark for generic event boundary captioning, grounding and text-based retrieval. CoRR (2022)
Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang
Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. CVPR (2022)
Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. CoRR (2022)
Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
Connecting What to Say With Where to Look by Modeling Human Attention Traces. CoRR (2021)
Jungpyo Lee, Licheng Yu, Lucie Derbier, Hannah S. Stuart
Assistive supernumerary grasping with the back of the hand. ICRA (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 Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR (2021)
Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman
Connecting What To Say With Where To Look by Modeling Human Attention Traces. CVPR (2021)
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks (2021)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. CoRR (2020)
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
UNITER: UNiversal Image-TExt Representation Learning. ECCV (30) (2020)
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. ECCV (6) (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis From Salient Object Layout. CVPR (2020)
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
Violin: A Large-Scale Dataset for Video-and-Language Inference. CVPR (2020)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. EMNLP (1) (2020)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. CoRR (2020)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
TVQA+: Spatio-Temporal Grounding for Video Question Answering. ACL (2020)
Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen, Jingjing Liu
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models. CoRR (2020)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
What is More Likely to Happen Next? Video-and-Language Future Event Prediction. CoRR (2020)
Linjie Li, Yen-Chun Chen, Yu Cheng, Zhe Gan, Licheng Yu, Jingjing Liu
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training. EMNLP (1) (2020)
Yandong Li, Yu Cheng, Zhe Gan, Licheng Yu, Liqiang Wang, Jingjing Liu
BachGAN: High-Resolution Image Synthesis from Salient Object Layout. CoRR (2020)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. ECCV (21) (2020)
Jingzhou Liu, Wenhu Chen, Yu Cheng, Zhe Gan, Licheng Yu, Yiming Yang, Jingjing Liu
VIOLIN: A Large-Scale Dataset for Video-and-Language Inference. CoRR (2020)
Hao Tan, Licheng Yu, Mohit Bansal
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. CoRR (2019)
Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, Jingjing Liu
UNITER: Learning UNiversal Image-TExt Representations. CoRR (2019)
Hao Tan, Licheng Yu, Mohit Bansal
Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. NAACL-HLT (1) (2019)
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra
Multi-Target Embodied Question Answering. CoRR (2019)
Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra
Multi-Target Embodied Question Answering. CVPR (2019)
Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal
TVQA+: Spatio-Temporal Grounding for Video Question Answering. CoRR (2019)
Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg
MAttNet: Modular Attention Network for Referring Expression Comprehension. CVPR (2018)
Shan Yang, Zherong Pan, Tanya Amert, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin
Physics-Inspired Garment Recovery from a Single-View Image. ACM Trans. Graph. 37 (5) (2018)
Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg
MAttNet: Modular Attention Network for Referring Expression Comprehension. CoRR (2018)
Anya Belz, Tamara L. Berg, Licheng Yu
From image to language and back again. Nat. Lang. Eng. 24 (3) (2018)
Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
A Unified Framework for Manifold Landmarking. IEEE Trans. Signal Process. 66 (21) (2018)
Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg
TVQA: Localized, Compositional Video Question Answering. EMNLP (2018)
Licheng Yu, Tianzhou Chen, Minghui Wu, Xueqing Lou
Last level cache layout remapping for heterogeneous systems. J. Syst. Archit. 87 (2018)
Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg
TVQA: Localized, Compositional Video Question Answering. CoRR (2018)
Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang
Enable back memory and global synchronization on LLC buffer. J. Supercomput. 73 (12) (2017)
Licheng Yu, Mohit Bansal, Tamara L. Berg
Hierarchically-Attentive RNN for Album Summarization and Storytelling. CoRR (2017)
Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CVPR (2017)
Hongteng Xu, Licheng Yu, Mark A. Davenport, Hongyuan Zha
Active manifold learning via a unified framework for manifold landmarking. CoRR (2017)
Licheng Yu, Mohit Bansal, Tamara L. Berg
Hierarchically-Attentive RNN for Album Summarization and Storytelling. EMNLP (2017)
Licheng Yu, Yulong Pei, Tianzhou Chen, Minghui Wu
Architecture supported register stash for GPGPU. J. Parallel Distributed Comput. 89 (2016)
Shan Yang, Tanya Amert, Zherong Pan, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin
Detailed Garment Recovery from a Single-View Image. CoRR (2016)
Minghui Wu, Yulong Pei, Licheng Yu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang
WAP: The Warp Feature Aware Prefetching Method for LLC on CPU-GPU Heterogeneous Architecture. HPCC/SmartCity/DSS (2016)
Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen, Xueqing Lou, Tiefei Zhang
Two Methods for Combining Original Memory Access Coalescing and Equivalent Memory Access Coalescing on GPGPU. ICESS (2016)
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg
Modeling Context in Referring Expressions. CoRR (2016)
Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg
Modeling Context in Referring Expressions. ECCV (2) (2016)
Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg
A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. CoRR (2016)
Licheng Yu, Yulong Pei, Tianzhou Chen, Xueqing Lou, Minghui Wu, Tiefei Zhang
LLC Buffer for Arbitrary Data Sharing in Heterogeneous Systems. HPCC/SmartCity/DSS (2016)
Yi Xu, Licheng Yu, Hongteng Xu, Hao Zhang, Truong Nguyen
Vector Sparse Representation of Color Image Using Quaternion Matrix Analysis. IEEE Trans. Image Process. 24 (4) (2015)
Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg
Visual Madlibs: Fill in the Blank Description Generation and Question Answering. ICCV (2015)
Jianliang Ma, Licheng Yu, Tianzhou Chen, Minghui Wu
Analyzing Memory Access on CPU-GPGPU Shared LLC Architecture. ISPDC (2015)
Yulong Pei, Licheng Yu, Minghui Wu, Tianzhou Chen
Equidistant Memory Access Coalescing on GPGPU. HPCC/CSS/ICESS (2015)
Songyuan Li, Jinglei Meng, Licheng Yu, Jianliang Ma, Tianzhou Chen, Minghui Wu
Buffer Filter: A Last-Level Cache Management Policy for CPU-GPGPU Heterogeneous System. HPCC/CSS/ICESS (2015)
Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg
Visual Madlibs: Fill in the blank Image Generation and Question Answering. CoRR (2015)
Jianliang Ma, Licheng Yu, John M. Ye, Tianzhou Chen
MCMG simulator: A unified simulation framework for CPU and graphic GPU. J. Comput. Syst. Sci. 81 (1) (2015)
Hongteng Xu, Licheng Yu, Dixin Luo, Hongyuan Zha, Yi Xu
Dictionary Learning with Mutually Reinforcing Group-Graph Structures. AAAI (2015)
Licheng Yu, Tianzhou Chen, Minghui Wu, Li Liu
Buffer on Last Level Cache for CPU and GPGPU Data Sharing. HPCC/CSS/ICESS (2014)
Hong Shen, Jinglei Meng, Licheng Yu, Xuefeng Fang, Tianzhou Chen, Hui Yan, Honglun Hou
A quantitative quality control method of big data in cancer patients using artificial neural network. CCIS (2014)
Licheng Yu, Xingsheng Tang, Minghui Wu, Tianzhou Chen
Improving branch divergence performance on GPGPU with a new PDOM stack and multi-level warp scheduling. J. Syst. Archit. 60 (5) (2014)
Licheng Yu, Yi Xu, Bo Zhang
Single image super-resolution via phase congruency analysis. VCIP (2013)
Licheng Yu, Yi Xu, Hongteng Xu, Hao Zhang
Quaternion-based sparse representation of color image. ICME (2013)
Licheng Yu, Yi Xu, Hongteng Xu, Xiaokang Yang
Self-example based super-resolution with fractal-based gradient enhancement. ICME Workshops (2013)
Licheng Yu, Tianzhou Chen, Jianzhong Wu
A Software-hardware Collaborating Framework for Wear Leveling on Phase Change Memory. HPCC-ICESS (2012)
Wen Huang, Licheng Yu, Mingjiao Ye, Tianzhou Chen, Tongsen Hu
A CPU-GPGPU Scheduler Based on Data Transmission Bandwidth of Workload. PDCAT (2012)
Tianzhou Chen, Xingsheng Tang, Licheng Yu, Jianliang Ma, Minghui Wu
Improve GPGPU Latency Hiding with a Hybrid Recovery Stack and a Window Based Warp Scheduling Policy. HPCC-ICESS (2012)
Licheng Yu, Hongteng Xu, Yi Xu, Xiaokang Yang
Robust single image super-resolution based on gradient enhancement. APSIPA (2012)
Chao Wang, Licheng Yu, Li Liu, Tianzhou Chen
Packet Triggered Prediction Based Task Migration for Network-on-Chip. PDP (2012)
Jinming Yue, Tiefei Zhang, Licheng Yu, Tianzhou Chen
Leakage Aware Scheduling for Maximum Temperature Minimization. PDCAT (2011)