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It Takes Two Flints to Make a Fire: Multitask Learning of Neural Relation and Explanation Classifiers


Apr 25, 2022
Zheng Tang, Mihai Surdeanu


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The 6th AI City Challenge


Apr 21, 2022
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa

* Summary of the 6th AI City Challenge Workshop in conjunction with CVPR 2022 

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How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks


Sep 14, 2021
Hoang Van, Zheng Tang, Mihai Surdeanu

* 7 pages, 7 tables, accepted to Empirical Methods for Natural Language Processing 2021, Punta Cana, Dominican Republic 

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The 5th AI City Challenge


May 24, 2021
Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lopez, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff

* Summary of the 5th AI City Challenge Workshop in conjunction with CVPR 2021 

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PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data


May 02, 2020
Zheng Tang, Milind Naphade, Stan Birchfield, Jonathan Tremblay, William Hodge, Ratnesh Kumar, Shuo Wang, Xiaodong Yang

* Accepted by ICCV 2019 

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The 4th AI City Challenge


Apr 30, 2020
Milind Naphade, Shuo Wang, David Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Liang Zheng, Anuj Sharma, Rama Chellappa, Pranamesh Chakraborty

* Organization summary of the 4th AI City Challenge Workshop @ CVPR 2020 

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CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification


Apr 05, 2019
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang

* Accepted for oral presentation at CVPR 2019 with review ratings of 2 strong accepts and 1 accept (work done during an internship at NVIDIA) 

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MOANA: An Online Learned Adaptive Appearance Model for Robust Multiple Object Tracking in 3D


Jan 09, 2019
Zheng Tang, Jenq-Neng Hwang

* Submitted to IEEE Access Special Section: AI-Driven Big Data Processing: Theory, Methodology, and Applications 

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