Multi-class cell segmentation in high-resolution Giga-pixel whole slide
...
Deep learning models for vision tasks are trained on large datasets unde...
In this work, we present a unified framework for multi-modality 3D objec...
In this work, we present a conceptually simple yet effective framework f...
Non-uniformed 3D sparse data, e.g., point clouds or voxels in different
...
In this paper, we present a conceptually simple, strong, and efficient
f...
We propose Scale-aware AutoAug to learn data augmentation policies for o...
The Feature Pyramid Network (FPN) presents a remarkable approach to alle...
The Learnable Tree Filter presents a remarkable approach to model
struct...
In this paper, we present a conceptually simple, strong, and efficient
f...
Object detectors commonly vary quality according to scales, where the
pe...
Recently, numerous handcrafted and searched networks have been applied f...
Learning discriminative global features plays a vital role in semantic
s...
Both accuracy and efficiency are significant for pose estimation and tra...
Multi-target Multi-camera Tracking (MTMCT) aims to extract the trajector...
Facial expression recognition is a challenging task, arguably because of...
This paper studies panoptic segmentation, a recently proposed task which...
Recently we have witnessed the worldwide adoption of many different type...