495 citations · 2.9k across the 57 of their papers we have counts for
6 papers · 1 filter
SOT for MOT
Qizheng He, Jianan Wu, Gang Yu +1
In this paper we present a robust tracker to solve the multiple object tracking (MOT) problem, under the framework of tracking-by-detection. As the first contribution, we innovativ…
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li, Chao Peng, Gang Yu +3
In this paper, we first investigate why typical two-stage methods are not as fast as single-stage, fast detectors like YOLO and SSD. We find that Faster R-CNN and R-FCN perform an…
Face Attention Network: An Effective Face Detector for the Occluded Faces
Jianfeng Wang, Ye Yuan, Gang Yu
The performance of face detection has been largely improved with the development of convolutional neural network. However, the occlusion issue due to mask and sunglasses, is still…
Cascaded Pyramid Network for Multi-Person Pose Estimation
Yilun Chen, Zhicheng Wang, Yuxiang Peng +3
The topic of multi-person pose estimation has been largely improved recently, especially with the development of convolutional neural network. However, there still exist a lot of c…
MegDet: A Large Mini-Batch Object Detector
Chao Peng, Tete Xiao, Zeming Li +5
The improvements in recent CNN-based object detection works, from R-CNN [11], Fast/Faster R-CNN [10, 31] to recent Mask R-CNN [14] and RetinaNet [24], mainly come from new network,…
Large Kernel Matters -- Improve Semantic Segmentation by Global Convolutional Network
Chao Peng, Xiangyu Zhang, Gang Yu +2
One of recent trends [30, 31, 14] in network architec- ture design is stacking small filters (e.g., 1x1 or 3x3) in the entire network because the stacked small filters is more ef-…