Systems & Applications
Research Highlights (back to Research Overview)
Please find more publication and technical reports on Google Scholar. Some of our codes and datasets are available at GitHub.
Abbreviations: [C]: Conference; [J] Journal; [W] Workshop; [TR]: Technical Report; [B]: Book; [P]: Patent; [Comp]: Competition; [Proj]: Project; [Org] Program Organization; [SOTA]: State-of-the-art (at the time of publication)
AI Systems:
[C] SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems, Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen, MLSys, 2020 (Oral and Poster, acceptance rate 20.0 %)
[TR] SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection, Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas Huang, Honghui Shi, Wen-mei Hwu, Deming Chen, DAC System Design Contest Technical Report, 2019
[W] Object-Centric Spatio-Temporal Activity Detection and Recognition, Mandis Beigi, Lisa M Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-fe Shu, Rogerio Feris, NIST TRECVID Workshop, 2018
[W] Geometry-aware Traffic Flow Analysis by Detection and Tracking, Honghui Shi, Zhonghao Wang, Xinchao Wang, Yang Zhang, Thomas Huang, Oral Presentation @ Nvidia AI City Challenge , CVPR, 2018
[W] Improving Context Modeling for Video Object Detection and Tracking, Yunchao Wei, Mengdan Zhang, Jianan Li, Yunpeng Chen, Jiashi Feng, Honghui Shi, Jian Dong, Shuicheng Yan, Oral Presentation @ Beyond ImageNet Large Scale Visual Recognition Challenge, CVPR, 2017
[W] Effective Object Detection from Traffic Camera Videos, Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas Huang, Oral Presentation @ Nvidia AI City Challenge, CVPR, 2017
[TR] Seq-NMS for Video Object Detection, Pooya Khorrami, Tom Le Paine, Wei Han, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Thomas S. Huang, Poster Presentation @ ImageNet Challenge, ICCV, 2015
[Comp] IEEE/ACM DAC System Design Contest 1st Place (2019)
[Comp] NIST/IARPA TRECVID Activity Recognition Challenge 1st Place (2018)
[Comp] Nvidia AI City Challenge 3rd Place (2018)
[Comp] CVPR Look Into Person Challenge 1st Place (2018)
[Comp] ImageNet Video Object Detection and Tracking Challenge 2nd Place (2017)
[Comp] Nvidia AI City Challenge 1st Place (2017)
[Comp] ImageNet Video Object Detection Challenge 3rd Place (2015)
AI Applications - Science & Engineering & Education & Finance:
[J] Deep Learning-based Automated Image Segmentation for Concrete Petrographic Analysis, Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A Lange, Cement and Concrete Research, 2020 (top journal for materials in civil engineering)
[C] Galaxy Classiο¬cation Using Deep Convolutional Neural Networks, Honghui Shi and Thomas Huang, GPU Technology Conference (GTC), 2015
[Proj] Cement Phase Segmentation, collaborated with UIUC Civil Engineering (2018-2020)
[Proj] AI for Education, sponsored by New Oriental Education Technology (2018-2019)
[Proj] Intelligent Learning Advisor, sponsored by IBM Research (2017-2021)
[Proj] Deep Learning in Financial Modeling and Strategy, sponsored by Jump Trading (2015-2018)
[Proj] Galaxy Classification, collaborated with UIUC Astronomy (2014-2015)
[Proj] Gravitational Lens Detection, collaborated with UIUC Astronomy (2014-2015)
AI Applications - Agriculture:
[W] The 1st Agriculture-Vision Challenge: Methods and Results, Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi et. al., CVPR Workshops 2020
[Org] The 1st International Workshop and Prize Challenge on Agriculture-Vision: Challenges & Opportunities for Computer Vision in Agriculture, CVPR 2020
[C] Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis, Mang Tik Chiu*, Xingqian Xu*, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, CVPR, 2020 (a novel dataset for agriculture, acceptance rate 22.0 %)
[Proj] Deep Pattern Analysis in Agricultural Images, sponsored by IntelinAir (2018-2020)
AI Applications - Medicine:
[C] Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation, Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas Huang, Shanhui Sun, MICCAI, 2020
[C] FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation, Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas Huang, Terrence Chen, CVPR, 2020 (fast & online adaptation method, acceptance rate 22.0 %)
[C] A Novel Framework for 3D-2D Vertebra Matching, Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Zhangyang Wang, Bihan Wen, Matthew Bramlet, Thenkurussi Kesavadas, Honghui Shi, Thomas Huang, IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), 2019 (invited paper)
[C] Computed Tomography Super-Resolution Using Convolutional Neural Networks, Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramlet, Thomas S. Huang, ICIP, 2017
[Proj] Automated Cerebral Aneurysm Segmentation & Applications in Resident Training, sponsored by Jump ARCHES (2020-2021)
[Proj] Automated Retinopathy of Prematurity Detection and Analysis, sponsored by Jump ARCHES (2020-2021)
[Proj] Multiphoton Image Analysis for Cancer Diagnosis, sponsored by Mayo Clinic & UIUC (2018-2019)
[Proj] Multi-Task Learning for Medical Image Analysis, sponsored by Siemens (2016-2019)
[Proj] Multi-modal Medical Image Understanding, sponsored by Jump ARCHES (2016-2018)