Bowen Cheng
Title
Cited by
Cited by
Year
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
B Cheng, B Xiao, J Wang, H Shi, TS Huang, L Zhang
CVPR 2020, 2020
158*2020
Revisiting RCNN: On Awakening the Classification Power of Faster RCNN
B Cheng, Y Wei, H Shi, R Feris, J Xiong, T Huang
ECCV 2018, 2018
1372018
Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
CVPR 2020, 2020
1192020
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection
Y Wei, Z Shen, B Cheng, H Shi, J Xiong, J Feng, T Huang
ECCV 2018, 2018
1092018
SPGNet: Semantic Prediction Guidance for Scene Parsing
B Cheng, LC Chen, Y Wei, Y Zhu, Z Huang, J Xiong, T Huang, WM Hwu, ...
ICCV 2019, 2019
652019
Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
LC Chen, RG Lopes, B Cheng, MD Collins, ED Cubuk, B Zoph, H Adam, ...
ECCV 2020, 2020
572020
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems
X Zhang, H Lu, C Hao, J Li, B Cheng, Y Li, K Rupnow, J Xiong, T Huang, ...
MLSys (Conference on Machine Learning and Systems), 2019
342019
Decoupled classification refinement: Hard false positive suppression for object detection
B Cheng, Y Wei, R Feris, J Xiong, W Hwu, T Huang, H Shi
arXiv preprint arXiv:1810.04002, 2018
322018
Panoptic-deeplab
B Cheng, MD Collins, Y Zhu, T Liu, TS Huang, H Adam, LC Chen
ICCV 2019 COCO + Mapillary Joint Recognition Challenge Workshop, 2019
312019
Enhance Visual Recognition under Adverse Conditions via Deep Networks
D Liu, B Cheng, Z Wang, H Zhang, TS Huang
IEEE Transactions on Image Processing (TIP), 2017
312017
Deformable convolutional networks–coco detection and segmentation challenge 2017 entry
H Qi, Z Zhang, B Xiao, H Hu, B Cheng, Y Wei, J Dai
ICCV 2017 COCO Challenge Workshop, 2017
292017
Robust emotion recognition from low quality and low bit rate video: A deep learning approach
B Cheng, Z Wang, Z Zhang, Z Li, D Liu, J Yang, S Huang, TS Huang
ACII 2017, 2017
262017
A Simple Non-iid Sampling Approach for Efficient Training and Better Generalization
B Cheng, Y Wei, J Yu, S Chang, J Xiong, WM Hwu, TS Huang, H Shi
arXiv preprint arXiv:1811.09347, 2018
10*2018
High Frequency Residual Learning for Multi-Scale Image Classification
B Cheng, R Xiao, J Wang, T Huang, L Zhang
BMVC 2019, 2019
92019
Per-Pixel Classification is Not All You Need for Semantic Segmentation
B Cheng, AG Schwing, A Kirillov
arXiv preprint arXiv:2107.06278, 2021
72021
Visual recognition in very low-quality settings: Delving into the power of pre-training
B Cheng, D Liu, Z Wang, H Zhang, T Huang
AAAI 2019, 2018
72018
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
B Cheng, R Girshick, P Dollár, AC Berg, A Kirillov
CVPR 2021, 2021
52021
ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition
HP Cheng, F Liang, M Li, B Cheng, F Yan, H Li, V Chandra, Y Chen
arXiv preprint arXiv:2011.14584, 2020
52020
Pointly-Supervised Instance Segmentation
B Cheng, O Parkhi, A Kirillov
arXiv preprint arXiv:2104.06404, 2021
22021
Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection
J Li, B Cheng, R Feris, J Xiong, TS Huang, WM Hwu, H Shi
CVPRW 2021, 2021
12021
The system can't perform the operation now. Try again later.
Articles 1–20