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OPT: Omni-Perception Pre-Trainer for Cross-Modal Understanding and Generation


Jul 06, 2021
Jing Liu, Xinxin Zhu, Fei Liu, Longteng Guo, Zijia Zhao, Mingzhen Sun, Weining Wang, Hanqing Lu, Shiyu Zhou, Jiajun Zhang, Jinqiao Wang


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Simulated Data Generation Through Algorithmic Force Coefficient Estimation for AI-Based Robotic Projectile Launch Modeling


May 28, 2021
Sajiv Shah, Ayaan Haque, Fei Liu

* ACIRS 2021; First two authors contributed equally, order arbitrarily assigned 

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A Sliding-Window Approach to Automatic Creation of Meeting Minutes


Apr 26, 2021
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Fei Liu

* 8 pages 

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Lidar Point Cloud Guided Monocular 3D Object Detection


Apr 19, 2021
Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Deng Cai


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OCM3D: Object-Centric Monocular 3D Object Detection


Apr 13, 2021
Liang Peng, Fei Liu, Senbo Yan, Xiaofei He, Deng Cai


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A New Approach to Overgenerating and Scoring Abstractive Summaries


Apr 05, 2021
Kaiqiang Song, Bingqing Wang, Zhe Feng, Fei Liu

* NAACL 2021 (Long Paper) 

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CATE: Computation-aware Neural Architecture Encoding with Transformers


Feb 14, 2021
Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

* Technical report 

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Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations


Feb 02, 2021
Jingbin Huang, Fei Liu, Florian Richter, Michael C. Yip

* Submission to ICRA2021 

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Automatic Summarization of Open-Domain Podcast Episodes


Nov 12, 2020
Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu

* TREC 2020 

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How Domain Terminology Affects Meeting Summarization Performance


Nov 09, 2020
Jia Jin Koay, Alexander Roustai, Xiaojin Dai, Dillon Burns, Alec Kerrigan, Fei Liu

* COLING 2020 

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Real-to-Sim Registration of Deformable Soft Tissue with Position-Based Dynamics for Surgical Robot Autonomy


Nov 03, 2020
Fei Liu, Zihan Li, Yunhai Han, Jingpei Lu, Florian Richter, Michael C. Yip


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A 2D Surgical Simulation Framework for Tool-Tissue Interaction


Oct 26, 2020
Yunhai Han, Fei Liu, Michael C. Yip

* 2 pages, 3 figures, IROS Workshop 2020 

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Better Highlighting: Creating Sub-Sentence Summary Highlights


Oct 20, 2020
Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

* EMNLP 2020 (Long Paper) 

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The NVIDIA PilotNet Experiments


Oct 17, 2020
Mariusz Bojarski, Chenyi Chen, Joyjit Daw, Alperen Değirmenci, Joya Deri, Bernhard Firner, Beat Flepp, Sachin Gogri, Jesse Hong, Lawrence Jackel, Zhenhua Jia, BJ Lee, Bo Liu, Fei Liu, Urs Muller, Samuel Payne, Nischal Kota Nagendra Prasad, Artem Provodin, John Roach, Timur Rvachov, Neha Tadimeti, Jesper van Engelen, Haiguang Wen, Eric Yang, Zongyi Yang


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Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection


Oct 16, 2020
Florian Richter, Shihao Shen, Fei Liu, Jingbin Huang, Emily K. Funk, Ryan K. Orosco, Michael C. Yip

* Under review at RA-L, 8 pages, 8 figures, 1 table 

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Learning to Fuse Sentences with Transformers for Summarization


Oct 08, 2020
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

* EMNLP 2020 (Short Paper) 

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A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion


Oct 08, 2020
Logan Lebanoff, Franck Dernoncourt, Doo Soon Kim, Walter Chang, Fei Liu

* AACL-IJCNLP 2020 (Short Paper) 

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Dynamically Constrained Motion Planning Networks for Non-Holonomic Robots


Aug 12, 2020
Jacob J. Johnson, Linjun Li, Fei Liu, Ahmed H. Qureshi, Michael C. Yip

* Accepted for IROS 2020 

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Comparison of Different Methods for Time Sequence Prediction in Autonomous Vehicles


Jul 16, 2020
Teng Liu, Bin Tian, Yunfeng Ai, Long Chen, Fei Liu, Dongpu Cao

* 6 pages, 11 figures 

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Understanding Points of Correspondence between Sentences for Abstractive Summarization


Jun 10, 2020
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang, Fei Liu

* Camera-ready version for ACL 2020 Student Research Workshop (SRW) 

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Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review


May 20, 2020
Ying Li, Lingfei Ma, Zilong Zhong, Fei Liu, Dongpu Cao, Jonathan Li, Michael A. Chapman

* 21 pages, submitted to IEEE Transactions on Neural Networks and Learning Systems 

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AdaptiveWeighted Attention Network with Camera Spectral Sensitivity Prior for Spectral Reconstruction from RGB Images


May 19, 2020
Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu

* The 1st ranking on the Clean track and the 3rd place only 1.59106e-4 more than the 1st on the Real World track of the NTIRE 2020 Spectral Reconstruction Challenge 

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Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction


Mar 11, 2020
Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wong, Yuqi Song, Fei Liu, Jianjun Hu

* 11 pages. 5 figures 

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Self-Attention Network for Skeleton-based Human Action Recognition


Dec 18, 2019
Sangwoo Cho, Muhammad Hasan Maqbool, Fei Liu, Hassan Foroosh

* WACV 2020 Paper 

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Controlling the Amount of Verbatim Copying in Abstractive Summarization


Nov 23, 2019
Kaiqiang Song, Bingqing Wang, Zhe Feng, Liu Ren, Fei Liu

* AAAI 2020 (Main Technical Track) 

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Joint Parsing and Generation for Abstractive Summarization


Nov 23, 2019
Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, Xiangyang Xue, Chen Li, Dong Yu, Fei Liu

* AAAI 2020 (Main Technical Track) 

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Multi-Document Summarization with Determinantal Point Processes and Contextualized Representations


Oct 24, 2019
Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu

* EMNLP 2019 Workshop on New Frontiers in Summarization 

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Towards Annotating and Creating Sub-Sentence Summary Highlights


Oct 17, 2019
Kristjan Arumae, Parminder Bhatia, Fei Liu


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Analyzing Sentence Fusion in Abstractive Summarization


Oct 01, 2019
Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu


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