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Honghui Shi
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- affiliation: University of Oregon, Eugene, OR, USA
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2020 – today
- 2022
[j2]Zilong Huang
, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 550-557 (2022)- [c45]Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. WACV 2022: 2354-2363 - [i60]Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han:
Object Localization under Single Coarse Point Supervision. CoRR abs/2203.09338 (2022) - [i59]Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang:
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR abs/2204.00928 (2022) - [i58]Ali Hassani, Steven Walton, Jiachen Li, Shen Li, Humphrey Shi:
Neighborhood Attention Transformer. CoRR abs/2204.07143 (2022) - [i57]Qiucheng Wu, Yifan Jiang, Junru Wu, Kai Wang, Gong Zhang, Humphrey Shi, Zhangyang Wang, Shiyu Chang:
Grasping the Arrow of Time from the Singularity: Decoding Micromotion in Low-dimensional Latent Spaces from StyleGAN. CoRR abs/2204.12696 (2022) - 2021
- [j1]Lite Zhang, Zilong Feng, Mengyu Sun, Haozhe Jin, Honghui Shi:
Numerical Study of Air Flow Induced by Shock Impact on an Array of Perforated Plates. Entropy 23(8): 1051 (2021) - [c44]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. AAAI 2021: 1361-1369 - [c43]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. AAAI 2021: 3217-3224 - [c42]Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. AAAI 2021: 10763-10771 - [c41]Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection. CVPR Workshops 2021: 2349-2358 - [c40]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CVPR Workshops 2021: 2378-2387 - [c39]Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CVPR Workshops 2021: 3043-3052 - [c38]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CVPR 2021: 6923-6932 - [c37]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CVPR 2021: 8680-8689 - [c36]Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian Price, Zhonghao Wang, Humphrey Shi:
Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach. CVPR 2021: 12045-12055 - [c35]Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. ICCV 2021: 1858-1867 - [c34]Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang:
A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. ICCV 2021: 8433-8442 - [c33]Yuqian Zhou, Hanchao Yu, Humphrey Shi:
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. MICCAI (1) 2021: 57-67 - [c32]Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Textual Attributes Guided Portrait Painting Generation. MIPR 2021: 386-392 - [i56]Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou:
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. CoRR abs/2103.02193 (2021) - [i55]Yuqian Zhou, Hanchao Yu, Humphrey Shi:
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels. CoRR abs/2103.03451 (2021) - [i54]Xingqian Xu, Zhangyang Wang, Humphrey Shi:
UltraSR: Spatial Encoding is a Missing Key for Implicit Image Function-based Arbitrary-Scale Super-Resolution. CoRR abs/2103.12716 (2021) - [i53]Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz:
Learning to Track Instances without Video Annotations. CoRR abs/2104.00287 (2021) - [i52]Ali Hassani, Steven Walton, Nikhil Shah, Abulikemu Abuduweili, Jiachen Li, Humphrey Shi:
Escaping the Big Data Paradigm with Compact Transformers. CoRR abs/2104.05704 (2021) - [i51]Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi:
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection. CoRR abs/2104.14082 (2021) - [i50]Haichao Yu, Linjie Yang, Humphrey Shi:
Is In-Domain Data Really Needed? A Pilot Study on Cross-Domain Calibration for Network Quantization. CoRR abs/2105.07331 (2021) - [i49]Jiachen Li, Yuan Lin, Rongrong Liu, Chiu Man Ho, Humphrey Shi:
RSCA: Real-time Segmentation-based Context-Aware Scene Text Detection. CoRR abs/2105.12789 (2021) - [i48]Vidit Goel, Jiachen Li, Shubhika Garg, Harsh Maheshwari, Humphrey Shi:
MSN: Efficient Online Mask Selection Network for Video Instance Segmentation. CoRR abs/2106.10452 (2021) - [i47]Wuyang Chen, Xinyu Gong, Yunchao Wei, Humphrey Shi, Zhicheng Yan, Yi Yang, Zhangyang Wang:
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics. CoRR abs/2108.11939 (2021) - [i46]Jiachen Li, Ali Hassani, Steven Walton, Humphrey Shi:
ConvMLP: Hierarchical Convolutional MLPs for Vision. CoRR abs/2109.04454 (2021) - [i45]Kai Wang, Zhonghao Wang, Mo Yu, Humphrey Shi:
Feudal Reinforcement Learning by Reading Manuals. CoRR abs/2110.06477 (2021) - [i44]Guanglei Yang, Hao Tang, Humphrey Shi, Mingli Ding, Nicu Sebe, Radu Timofte, Luc Van Gool, Elisa Ricci:
Global and Local Alignment Networks for Unpaired Image-to-Image Translation. CoRR abs/2111.10346 (2021) - [i43]Yifan Jiang, Xinyu Gong, Junru Wu, Humphrey Shi, Zhicheng Yan, Zhangyang Wang:
Auto-X3D: Ultra-Efficient Video Understanding via Finer-Grained Neural Architecture Search. CoRR abs/2112.04710 (2021) - [i42]Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, Trevor Darrell:
More Control for Free! Image Synthesis with Semantic Diffusion Guidance. CoRR abs/2112.05744 (2021) - [i41]Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi:
SeMask: Semantically Masked Transformers for Semantic Segmentation. CoRR abs/2112.12782 (2021) - [i40]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CoRR abs/2112.14238 (2021) - 2020
- [c31]Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-Based Denoiser Meets Real Noises. AAAI 2020: 13074-13081 - [c30]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c29]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CVPR 2020: 2825-2835 - [c28]Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CVPR Workshops 2020: 4043-4047 - [c27]Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CVPR 2020: 4312-4322 - [c26]Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation. CVPR 2020: 5385-5394 - [c25]Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Honghui Shi:
Image Super-Resolution With Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. CVPR 2020: 5689-5698 - [c24]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CVPR 2020: 12632-12641 - [c23]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. ECCV Workshops (5) 2020: 315-323 - [c22]Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun:
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. MICCAI (6) 2020: 436-446 - [c21]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. MLSys 2020 - [c20]Trevor Bergstrom, Humphrey Shi:
Human-Object Interaction Detection: A Quick Survey and Examination of Methods. HUMA @ ACM Multimedia 2020: 63-71 - [i39]Mang Tik Chiu, Xingqian Xu, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Hrant Khachatrian, Hovnatan Karapetyan, Ivan Dozier, Greg Rose, David Wilson, Adrian Tudor, Naira Hovakimyan, Thomas S. Huang, Honghui Shi:
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis. CoRR abs/2001.01306 (2020) - [i38]Zilong Huang, Yunchao Wei, Xinggang Wang, Wenyu Liu, Thomas S. Huang, Humphrey Shi:
AlignSeg: Feature-Aligned Segmentation Networks. CoRR abs/2003.00872 (2020) - [i37]Hanchao Yu, Shanhui Sun, Haichao Yu, Xiao Chen, Honghui Shi, Thomas S. Huang, Terrence Chen:
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation. CoRR abs/2003.04492 (2020) - [i36]Xingqian Xu, Mang Tik Chiu, Thomas S. Huang, Honghui Shi:
Deep Affinity Net: Instance Segmentation via Affinity. CoRR abs/2003.06849 (2020) - [i35]Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2003.08040 (2020) - [i34]Jianbo Jiao, Linchao Bao, Yunchao Wei, Shengfeng He, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Laplacian Denoising Autoencoder. CoRR abs/2003.13623 (2020) - [i33]Zhonghao Wang, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi:
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation. CoRR abs/2004.00794 (2020) - [i32]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i31]Yiqun Mei, Yuchen Fan, Yulun Zhang, Jiahui Yu, Yuqian Zhou, Ding Liu, Yun Fu, Thomas S. Huang, Humphrey Shi:
Pyramid Attention Networks for Image Restoration. CoRR abs/2004.13824 (2020) - [i30]Yu Song, Zilong Huang, Chuanyue Shen, Humphrey Shi, David A. Lange:
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis. CoRR abs/2005.10434 (2020) - [i29]Yiqun Mei, Yuchen Fan, Yuqian Zhou, Lichao Huang, Thomas S. Huang, Humphrey Shi:
Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining. CoRR abs/2006.01424 (2020) - [i28]Hanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun:
Motion Pyramid Networks for Accurate and Efficient Cardiac Motion Estimation. CoRR abs/2006.15710 (2020) - [i27]Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. CoRR abs/2009.06613 (2020) - [i26]Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi:
The 1st Tiny Object Detection Challenge: Methods and Results. CoRR abs/2009.07506 (2020) - [i25]Haoming Lu, Humphrey Shi:
Deep Learning for 3D Point Cloud Understanding: A Survey. CoRR abs/2009.08920 (2020) - [i24]Trevor Bergstrom, Humphrey Shi:
Human-Object Interaction Detection: A Quick Survey and Examination of Methods. CoRR abs/2009.12950 (2020) - [i23]Xiaodan Hu, Pengfei Yu, Kevin Knight, Heng Ji, Bo Li, Honghui Shi:
MUSE: Illustrating Textual Attributes by Portrait Generation. CoRR abs/2011.04761 (2020) - [i22]Zhonghao Wang, Mo Yu, Kai Wang, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi:
Interpretable Visual Reasoning via Induced Symbolic Space. CoRR abs/2011.11603 (2020) - [i21]Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian Price, Zhonghao Wang, Humphrey Shi:
Rethinking Text Segmentation: A Novel Dataset and A Text-Specific Refinement Approach. CoRR abs/2011.14021 (2020) - [i20]Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. CoRR abs/2012.03400 (2020) - [i19]Tiantu Xu, Kaiwen Shen, Yang Fu, Humphrey Shi, Felix Xiaozhu Lin:
Clique: Spatiotemporal Object Re-identification at the City Scale. CoRR abs/2012.09329 (2020)
2010 – 2019
- 2019
- [c19]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-Identification. AAAI 2019: 8295-8302 - [c18]Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning. AAAI 2019: 8843-8850 - [c17]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c16]Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W. H. Lau, Thomas S. Huang:
Geometry-Aware Distillation for Indoor Semantic Segmentation. CVPR 2019: 2869-2878 - [c15]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning Through Adaptive Fine-Tuning. CVPR 2019: 4805-4814 - [c14]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. ICCV 2019: 5217-5227 - [c13]Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi, Thomas S. Huang:
Self-Similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-Identification. ICCV 2019: 6111-6120 - [c12]Hanchao Yu, Yang Fu, Haichao Yu, Yunchao Wei, Xinchao Wang, Jianbo Jiao, Matthew Bramler, Thenkurussi Kesavadas, Honghui Shi, Zhangyang Wang, Bihan Wen, Thomas S. Huang:
A Novel Framework for 3D-2D Vertebra Matching. MIPR 2019: 121-126 - [i18]Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas S. Huang:
When AWGN-based Denoiser Meets Real Noises. CoRR abs/1904.03485 (2019) - [i17]Xiaofan Zhang, Cong Hao, Haoming Lu, Jiachen Li, Yuhong Li, Yuchen Fan, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-Mei Hwu, Deming Chen:
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection. CoRR abs/1906.10327 (2019) - [i16]Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Honghui Shi:
SPGNet: Semantic Prediction Guidance for Scene Parsing. CoRR abs/1908.09798 (2019) - [i15]Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang:
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation. CoRR abs/1908.10357 (2019) - [i14]Xiaofan Zhang, Haoming Lu, Cong Hao, Jiachen Li, Bowen Cheng, Yuhong Li, Kyle Rupnow, Jinjun Xiong, Thomas S. Huang, Honghui Shi, Wen-mei W. Hwu, Deming Chen:
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems. CoRR abs/1909.09709 (2019) - [i13]Haichao Yu, Haoxiang Li, Honghui Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. CoRR abs/1911.07346 (2019) - 2018
- [c11]Honghui Shi, Zhonghao Wang, Yang Zhang, Xinchao Wang, Thomas S. Huang:
Geometry-Aware Traffic Flow Analysis by Detection and Tracking. CVPR Workshops 2018: 116-120 - [c10]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation. CVPR 2018: 7268-7277 - [c9]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song:
VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results. ECCV Workshops (5) 2018: 437-468 - [c8]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. ECCV (11) 2018: 454-470 - [c7]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. ECCV (15) 2018: 473-490 - [c6]Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris:
Object-Centric Spatio-Temporal Activity Detection and Recognition. TRECVID 2018 - [i12]Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang:
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN. CoRR abs/1803.06799 (2018) - [i11]Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang, Xinchao Wang, Zhiqiang Yao, Thomas S. Huang:
Horizontal Pyramid Matching for Person Re-identification. CoRR abs/1804.05275 (2018) - [i10]Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang:
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation. CoRR abs/1805.04574 (2018) - [i9]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. CoRR abs/1807.04897 (2018) - [i8]Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi:
Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection. CoRR abs/1810.04002 (2018) - [i7]Rui Qian, Yunchao Wei, Honghui Shi, Jiachen Li, Jiaying Liu, Thomas S. Huang:
Weakly Supervised Scene Parsing with Point-based Distance Metric Learning. CoRR abs/1811.02233 (2018) - [i6]Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris:
SpotTune: Transfer Learning through Adaptive Fine-tuning. CoRR abs/1811.08737 (2018) - [i5]Bowen Cheng, Yunchao Wei, Jiahui Yu, Shiyu Chang, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Humphrey Shi:
A Simple Non-i.i.d. Sampling Approach for Efficient Training and Better Generalization. CoRR abs/1811.09347 (2018) - [i4]Yang Fu, Yunchao Wei, Guanshuo Wang, Xi Zhou, Honghui Shi, Thomas S. Huang:
Self-similarity Grouping: A Simple Unsupervised Cross Domain Adaptation Approach for Person Re-identification. CoRR abs/1811.10144 (2018) - [i3]Zilong Huang, Xinggang Wang, Yunchao Wei, Lichao Huang, Humphrey Shi, Wenyu Liu, Thomas S. Huang:
CCNet: Criss-Cross Attention for Semantic Segmentation. CoRR abs/1811.11721 (2018) - 2017
- [c5]Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - [c4]Yuchen Fan, Honghui Shi, Jiahui Yu, Ding Liu, Wei Han, Haichao Yu, Zhangyang Wang, Xinchao Wang, Thomas S. Huang:
Balanced Two-Stage Residual Networks for Image Super-Resolution. CVPR Workshops 2017: 1157-1164 - [c3]Haichao Yu, Ding Liu, Honghui Shi, Hanchao Yu, Zhangyang Wang, Xinchao Wang, Brent Cross, Matthew Bramler, Thomas S. Huang:
Computed tomography super-resolution using convolutional neural networks. ICIP 2017: 3944-3948 - [c2]Honghui Shi, Zhichao Liu, Yuchen Fan, Xinchao Wang, Thomas S. Huang:
Effective object detection from traffic camera videos. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-5 - [i2]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - 2016
- [c1]Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu, Honghui Shi, Thomas S. Huang:
Epitomic Image Super-Resolution. AAAI 2016: 4278-4279 - [i1]Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang:
Seq-NMS for Video Object Detection. CoRR abs/1602.08465 (2016)