433 citations · 771 across the 52 of their papers we have counts for
7 papers · 1 filter
SGTR: End-to-end Scene Graph Generation with Transformer
Rongjie Li, Songyang Zhang, Xuming He
Scene Graph Generation (SGG) remains a challenging visual understanding task due to its compositional property. Most previous works adopt a bottom-up two-stage or a point-based one…
Single Image 3D Object Estimation with Primitive Graph Networks
Qian He, Desen Zhou, Bo Wan +1
Reconstructing 3D object from a single image (RGB or depth) is a fundamental problem in visual scene understanding and yet remains challenging due to its ill-posed nature and compl…
KD-VLP: Improving End-to-End Vision-and-Language Pretraining with Object Knowledge Distillation
Yongfei Liu, Chenfei Wu, Shao-yen Tseng +3
Self-supervised vision-and-language pretraining (VLP) aims to learn transferable multi-modal representations from large-scale image-text data and to achieve strong performances on…
Learning Multi-Granular Spatio-Temporal Graph Network for Skeleton-based Action Recognition
Tailin Chen, Desen Zhou, Jian Wang +4
The task of skeleton-based action recognition remains a core challenge in human-centred scene understanding due to the multiple granularities and large variation in human motion. E…
An EM Framework for Online Incremental Learning of Semantic Segmentation
Shipeng Yan, Jiale Zhou, Jiangwei Xie +2
Incremental learning of semantic segmentation has emerged as a promising strategy for visual scene interpretation in the open- world setting. However, it remains challenging to acq…
Workshop on Autonomous Driving at CVPR 2021: Technical Report for Streaming Perception Challenge
Songyang Zhang, Lin Song, Songtao Liu +4
In this report, we introduce our real-time 2D object detection system for the realistic autonomous driving scenario. Our detector is built on a newly designed YOLO model, called YO…