Search Results for author: Kai Su

Found 11 papers, 3 papers with code

A Context-and-Spatial Aware Network for Multi-Person Pose Estimation

no code implementations14 May 2019 Dongdong Yu, Kai Su, Xin Geng, Changhu Wang

In this paper, a novel Context-and-Spatial Aware Network (CSANet), which integrates both a Context Aware Path and Spatial Aware Path, is proposed to obtain effective features involving both context information and spatial information.

Multi-Person Pose Estimation

Towards Good Practices for Multi-Person Pose Estimation

no code implementations28 Oct 2019 Dongdong Yu, Kai Su, Changhu Wang

Multi-Person Pose Estimation is an interesting yet challenging task in computer vision.

Multi-Person Pose Estimation

Memory Based Video Scene Parsing

no code implementations1 Sep 2021 Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang

Video scene parsing is a long-standing challenging task in computer vision, aiming to assign pre-defined semantic labels to pixels of all frames in a given video.

Scene Parsing Semantic Segmentation

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries

1 code implementation16 Aug 2022 Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang

In this work, we present the Knowledge Graph Transformer (kgTransformer) with masked pre-training and fine-tuning strategies.

AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression

1 code implementation8 Oct 2022 Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Kai Su, Lei Jin, Mei Song, Shuicheng Yan, Jian Zhao

With the proposed body representation, we further deliver a compact single-stage multi-person pose regression network, termed as AdaptivePose.

3D Multi-Person Pose Estimation Human Detection +2

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query

3 code implementations15 Dec 2022 Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan

The existing end-to-end methods rely on dense representations to preserve the spatial detail and structure for precise keypoint localization.

regression

YOLIC: An Efficient Method for Object Localization and Classification on Edge Devices

no code implementations13 Jul 2023 Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong liu

In the realm of Tiny AI, we introduce ``You Only Look at Interested Cells" (YOLIC), an efficient method for object localization and classification on edge devices.

Classification Computational Efficiency +6

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