research
∙
07/13/2023
YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices
In the realm of Tiny AI, we introduce "You Only Look at Interested Cells...
share
research
∙
12/15/2022
QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query
We propose a sparse end-to-end multi-person pose regression framework, t...
research
∙
10/08/2022
AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression
Multi-person pose estimation generally follows top-down and bottom-up pa...
research
∙
08/16/2022
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries
Knowledge graph (KG) embeddings have been a mainstream approach for reas...
research
∙
09/13/2021
Weakly Supervised Person Search with Region Siamese Networks
Supervised learning is dominant in person search, but it requires elabor...
research
∙
09/01/2021
Memory Based Video Scene Parsing
Video scene parsing is a long-standing challenging task in computer visi...
research
∙
03/03/2021
OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Model
To enrich language models with domain knowledge is crucial but difficult...
research
∙
09/30/2019
Towards Good Practices for Video Object Segmentation
Semi-supervised video object segmentation is an interesting yet challeng...
research
∙
05/14/2019
A Context-and-Spatial Aware Network for Multi-Person Pose Estimation
Multi-person pose estimation is a fundamental yet challenging task in co...
research
∙
05/09/2019