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ORCIDBowen Cheng
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2023
[j6]Bowen Cheng
, Miaomiao Tian, Shuai Jiang, Weiwei Liu, Yalong Pang:
Multi-Task Learning and Multimodal Fusion for Road Segmentation. IEEE Access 11: 18947-18959 (2023)- [c23]Ziqin Wang, Bowen Cheng, Lichen Zhao, Dong Xu, Yang Tang, Lu Sheng:
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud. CVPR 2023: 21560-21569 - [c22]Yan Fang, Feng Zhu, Bowen Cheng, Luoqi Liu, Yao Zhao, Yunchao Wei:
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation. ICCV 2023: 16566-16576 - [i23]Ziqin Wang, Bowen Cheng, Lichen Zhao, Dong Xu, Yang Tang, Lu Sheng:
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud. CoRR abs/2303.14408 (2023) - 2022
- [j5]Qian Liu, Bowen Cheng, Yongwon Jin, Pingzhao Hu:
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. J. Biomed. Informatics 125: 103958 (2022) - [c21]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c20]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR 2022: 1280-1289 - [c19]Bowen Cheng, Omkar Parkhi, Alexander Kirillov:
Pointly-Supervised Instance Segmentation. CVPR 2022: 2607-2616 - 2021
- [j4]Xiaohui Wang, Jiawei Yin, Bowen Cheng, Jingyan Qin:
Colormap optimization with data equality. J. Vis. 24(1): 191-203 (2021) - [c18]Yalong Pang, Shuai Jiang, Bowen Cheng, Weiwei Liu, Yuhang Wu:
Design and Implement of Median Filter toward Remote Sensing Images Based on FPGA. ASICON 2021: 1-4 - [c17]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 - [c16]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. CVPR 2021: 8963-8972 - [c15]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR 2021: 15334-15342 - [c14]Shun Yan, Zhengyan Liu, Yun Wang, Chenglong Zeng, Qiang Liu, Bowen Cheng, Ray C. C. Cheung:
An FPGA-based MobileNet Accelerator Considering Network Structure Characteristics. FPL 2021: 17-23 - [c13]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. NeurIPS 2021: 17864-17875 - [i22]Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov:
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR abs/2103.16562 (2021) - [i21]Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu:
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. CoRR abs/2104.06114 (2021) - [i20]Bowen Cheng, Omkar Parkhi, Alexander Kirillov:
Pointly-Supervised Instance Segmentation. CoRR abs/2104.06404 (2021) - [i19]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) - [i18]Bowen Cheng, Alexander G. Schwing, Alexander Kirillov:
Per-Pixel Classification is Not All You Need for Semantic Segmentation. CoRR abs/2107.06278 (2021) - [i17]Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar:
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR abs/2112.01527 (2021) - [i16]Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing:
Mask2Former for Video Instance Segmentation. CoRR abs/2112.10764 (2021) - 2020
- [c12]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 - [c11]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CVPR 2020: 12472-12482 - [c10]Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens:
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. ECCV (9) 2020: 695-714 - [c9]Shuai Jiang, Yalong Pang, Luyuan Wang, Jiyang Yu, Bowen Cheng, Zongling Li:
A Target Detection Algorithm of Neural Network Based on Histogram Statistics. IGARSS 2020: 1628-1631 - [c8]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 - [i15]Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D. Collins, Ekin D. Cubuk, Barret Zoph, Hartwig Adam, Jonathon Shlens:
Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. CoRR abs/2005.10266 (2020) - [i14]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition. CoRR abs/2011.14584 (2020)
2010 – 2019
- 2019
- [j3]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition Under Adverse Conditions via Deep Networks. IEEE Trans. Image Process. 28(9): 4401-4412 (2019) - [c7]Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang:
High Frequency Residual Learning for Multi-Scale Image Classification. BMVC 2019: 214 - [c6]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 - [c5]Zongling Li, Lu-yuan Wang, Ji-yang Yu, Bowen Cheng, Liang Hao, Shuai Jiang, Zhen Li, Jianfeng Yin:
Remote Sensing Ship Target Detection and Recognition System Based on Machine Learning. IGARSS 2019: 1272-1275 - [i13]Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang:
High Frequency Residual Learning for Multi-Scale Image Classification. CoRR abs/1905.02649 (2019) - [i12]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) - [i11]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) - [i10]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) - [i9]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab. CoRR abs/1910.04751 (2019) - [i8]Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen:
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. CoRR abs/1911.10194 (2019) - 2018
- [j2]Yili Zheng, Bowen Cheng, Qingqing Huang, Jinhao Liu:
Research on Virtual Driving System of a Forestry Logging Harvester. Wirel. Pers. Commun. 102(2): 667-682 (2018) - [c4]Bowen Cheng, Ding Liu, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Visual Recognition in Very Low-Quality Settings: Delving Into the Power of Pre-Training. AAAI 2018: 8065-8066 - [c3]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 - [c2]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 - [i7]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) - [i6]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) - [i5]Bowen Cheng, Rong Xiao, Yandong Guo, Yuxiao Hu, Jianfeng Wang, Lei Zhang:
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition. CoRR abs/1809.06131 (2018) - [i4]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) - [i3]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) - 2017
- [c1]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust emotion recognition from low quality and low bit rate video: A deep learning approach. ACII 2017: 65-70 - [i2]Bowen Cheng, Zhangyang Wang, Zhaobin Zhang, Zhu Li, Ding Liu, Jianchao Yang, Shuai Huang, Thomas S. Huang:
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach. CoRR abs/1709.03126 (2017) - [i1]Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang:
Enhance Visual Recognition under Adverse Conditions via Deep Networks. CoRR abs/1712.07732 (2017)
2000 – 2009
- 2009
- [j1]Lixin Zhou, Jichang Ding, Yi Wang, Bowen Cheng, Fei Cao:
The Social Network Mining of BBS. J. Networks 4(4): 298-305 (2009)
Coauthor Index
aka: Honghui Shi
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