activity
20182021
most citedVideo Relation Detection with Trajectory-aware Multi-modal Features

19 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Improved Pillar with Fine-grained Feature for 3D Object Detection

Jiahui Fu, Guanghui Ren, Yunpeng Chen +1

3D object detection with LiDAR point clouds plays an important role in autonomous driving perception module that requires high speed, stability and accuracy. However, the existing…

cs.CV20211 cited

Human-centric Relation Segmentation: Dataset and Solution

Si Liu, Zitian Wang, Yulu Gao +5

Vision and language understanding techniques have achieved remarkable progress, but currently it is still difficult to well handle problems involving very fine-grained details. For…

cs.CV202119 cited

Video Relation Detection with Trajectory-aware Multi-modal Features

Wentao Xie, Guanghui Ren, Si Liu

Video relation detection problem refers to the detection of the relationship between different objects in videos, such as spatial relationship and action relationship. In this pape…

cs.CV20204 cited

ProxylessKD: Direct Knowledge Distillation with Inherited Classifier for Face Recognition

Weidong Shi, Guanghui Ren, Yunpeng Chen +1

Knowledge Distillation (KD) refers to transferring knowledge from a large model to a smaller one, which is widely used to enhance model performance in machine learning. It tries to…

cs.CV201813 cited

Cross-domain Human Parsing via Adversarial Feature and Label Adaptation

Si Liu, Yao Sun, Defa Zhu +4

Human parsing has been extensively studied recently due to its wide applications in many important scenarios. Mainstream fashion parsing models focus on parsing the high-resolution…