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The NVIDIA PilotNet Experiments

Oct 17, 2020
Mariusz Bojarski, Chenyi Chen, Joyjit Daw, Alperen Deńüirmenci, 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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MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance

Sep 26, 2019
Wei Zhao, Maxime Peyrard, Fei Liu, Yang Gao, Christian M. Meyer, Steffen Eger

* EMNLP19 Camera-Ready 

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Scoring Sentence Singletons and Pairs for Abstractive Summarization

May 31, 2019
Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu

* ACL 2019 (Long Paper) 

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Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

May 31, 2019
Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu

* ACL 2019 (Long Paper) 

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Guiding Extractive Summarization with Question-Answering Rewards

Apr 04, 2019
Kristjan Arumae, Fei Liu

* NAACL 2019 

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The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

Feb 05, 2019
Fei Liu, Luke Zettlemoyer, Jacob Eisenstein

* in review 

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Automatic Detection of Vague Words and Sentences in Privacy Policies

Aug 28, 2018
Logan Lebanoff, Fei Liu

* 10 pages 

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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization

Aug 28, 2018
Logan Lebanoff, Kaiqiang Song, Fei Liu

* 11 pages 

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Evaluating the Utility of Hand-crafted Features in Sequence Labelling

Aug 28, 2018
Minghao Wu, Fei Liu, Trevor Cohn

* Accepted to EMNLP 2018 (camera-ready) 

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A Novel ILP Framework for Summarizing Content with High Lexical Variety

Jul 25, 2018
Wencan Luo, Fei Liu, Zitao Liu, Diane Litman

* Accepted for publication in the journal of Natural Language Engineering, 2018 

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Structure-Infused Copy Mechanisms for Abstractive Summarization

Jun 24, 2018
Kaiqiang Song, Lin Zhao, Fei Liu

* 13 pages 

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Reinforced Extractive Summarization with Question-Focused Rewards

Jun 21, 2018
Kristjan Arumae, Fei Liu

* 7 pages 

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Abstract Meaning Representation for Multi-Document Summarization

Jun 14, 2018
Kexin Liao, Logan Lebanoff, Fei Liu

* 13 pages 

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Toward Abstractive Summarization Using Semantic Representations

May 25, 2018
Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith

* 10 pages 

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