Bowen Cheng

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 51

Top Topics

Pose Estimation

Object Detection

Scene Segmentation

Weakly Supervised

Top Venues

Publications

Bowen Cheng, Miaomiao Tian, Shuai Jiang, Weiwei Liu, Yalong Pang
Multi-Task Learning and Multimodal Fusion for Road Segmentation. IEEE Access 11 (2023)
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)
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 (2023)
Yan Fang, Feng Zhu, Bowen Cheng, Luoqi Liu, Yao Zhao, Yunchao Wei
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation. ICCV (2023)
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)
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
Pointly-Supervised Instance Segmentation. CVPR (2022)
Qian Liu, Bowen Cheng, Yongwon Jin, Pingzhao Hu
Bayesian tensor factorization-drive breast cancer subtyping by integrating multi-omics data. J. Biomed. Informatics 125 (2022)
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
Masked-attention Mask Transformer for Universal Image Segmentation. CVPR (2022)
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)
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)
Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu
Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds. CoRR (2021)
Bowen Cheng, Omkar Parkhi, Alexander Kirillov
Pointly-Supervised Instance Segmentation. CoRR (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CoRR (2021)
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
Per-Pixel Classification is Not All You Need for Semantic Segmentation. CoRR (2021)
Xiaohui Wang, Jiawei Yin, Bowen Cheng, Jingyan Qin
Colormap optimization with data equality. J. Vis. 24 (1) (2021)
Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. CVPR (2021)
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)
Bowen Cheng, Anwesa Choudhuri, Ishan Misra, Alexander Kirillov, Rohit Girdhar, Alexander G. Schwing
Mask2Former for Video Instance Segmentation. CoRR (2021)
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar
Masked-attention Mask Transformer for Universal Image Segmentation. CoRR (2021)
Bowen Cheng, Alexander G. Schwing, Alexander Kirillov
Per-Pixel Classification is Not All You Need for Semantic Segmentation. NeurIPS (2021)
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 (2021)
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)
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)
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 (2020)
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 (2020)
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)
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)
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)
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)
Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang
High Frequency Residual Learning for Multi-Scale Image Classification. CoRR (2019)
Bowen Cheng, Rong Xiao, Jianfeng Wang, Thomas S. Huang, Lei Zhang
High Frequency Residual Learning for Multi-Scale Image Classification. BMVC (2019)
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) (2019)
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)
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 (2019)
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 (2019)
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)
Bowen Cheng, Bin Xiao, Jingdong Wang, Honghui Shi, Thomas S. Huang, Lei Zhang
Bottom-up Higher-Resolution Networks for Multi-Person Pose Estimation. CoRR (2019)
Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen
Panoptic-DeepLab. CoRR (2019)
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 (2019)
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 (2018)
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 (2018)
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 (2018)
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)
Yili Zheng, Bowen Cheng, Qingqing Huang, Jinhao Liu
Research on Virtual Driving System of a Forestry Logging Harvester. Wirel. Pers. Commun. 102 (2) (2018)
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)
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 (2018)
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 (2018)
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)
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 (2017)
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)
Ding Liu, Bowen Cheng, Zhangyang Wang, Haichao Zhang, Thomas S. Huang
Enhance Visual Recognition under Adverse Conditions via Deep Networks. CoRR (2017)
Lixin Zhou, Jichang Ding, Yi Wang, Bowen Cheng, Fei Cao
The Social Network Mining of BBS. J. Networks 4 (4) (2009)