activity
20192024
most citedHypergraph Transformer for Skeleton-based Action Recognition

31 citations · 87 across the 23 of their papers we have counts for

collaborators
Showing 2023Show all

12 papers · 1 filter

cs.CV2023

Tracking with Human-Intent Reasoning

Jiawen Zhu, Zhi-Qi Cheng, Jun-Yan He +5

Advances in perception modeling have significantly improved the performance of object tracking. However, the current methods for specifying the target object in the initial frame a…

cs.CL2023

WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +10

This paper introduces WordArt Designer, a user-driven framework for artistic typography synthesis, relying on the Large Language Model (LLM). The system incorporates four key modul…

cs.CV2023★ 2 cited

FMViT: A multiple-frequency mixing Vision Transformer

Wei Tan, Yifeng Geng, Xuansong Xie

The transformer model has gained widespread adoption in computer vision tasks in recent times. However, due to the quadratic time and memory complexity of self-attention, which is…

cs.CV2023★ 8 cited

AnyText: Multilingual Visual Text Generation And Editing

Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He +2

Diffusion model based Text-to-Image has achieved impressive achievements recently. Although current technology for synthesizing images is highly advanced and capable of generating…

cs.CV2023★ 4 cited

Refined Temporal Pyramidal Compression-and-Amplification Transformer for 3D Human Pose Estimation

Hanbing Liu, Wangmeng Xiang, Jun-Yan He +4

Accurately estimating the 3D pose of humans in video sequences requires both accuracy and a well-structured architecture. With the success of transformers, we introduce the Refined…

cs.CV2023★ 1 cited

Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning

Junwen He, Yifan Wang, Lijun Wang +6

Depth-aware panoptic segmentation is an emerging topic in computer vision which combines semantic and geometric understanding for more robust scene interpretation. Recent works pur…

cs.CV2023★ 2 cited

PoSynDA: Multi-Hypothesis Pose Synthesis Domain Adaptation for Robust 3D Human Pose Estimation

Hanbing Liu, Jun-Yan He, Zhi-Qi Cheng +8

Existing 3D human pose estimators face challenges in adapting to new datasets due to the lack of 2D-3D pose pairs in training sets. To overcome this issue, we propose \textit{Multi…

cs.CV2023★ 1 cited

KeyPosS: Plug-and-Play Facial Landmark Detection through GPS-Inspired True-Range Multilateration

Xu Bao, Zhi-Qi Cheng, Jun-Yan He +8

Accurate facial landmark detection is critical for facial analysis tasks, yet prevailing heatmap and coordinate regression methods grapple with prohibitive computational costs and…

cs.CV2023★ 4 cited

Overcoming Topology Agnosticism: Enhancing Skeleton-Based Action Recognition through Redefined Skeletal Topology Awareness

Yuxuan Zhou, Zhi-Qi Cheng, Jun-Yan He +3

Graph Convolutional Networks (GCNs) have long defined the state-of-the-art in skeleton-based action recognition, leveraging their ability to unravel the complex dynamics of human j…

cs.CV2023★ 6 cited

FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation

Junjie He, Pengyu Li, Yifeng Geng +1

Recent attention in instance segmentation has focused on query-based models. Despite being non-maximum suppression (NMS)-free and end-to-end, the superiority of these models on hig…

cs.CV2023★ 1 cited

DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving

Jun-Yan He, Zhi-Qi Cheng, Chenyang Li +5

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that has yet to be thoroughly explored in existing research. To address this gap, we presen…

cs.CV2023

HDFormer: High-order Directed Transformer for 3D Human Pose Estimation

Hanyuan Chen, Jun-Yan He, Wangmeng Xiang +6

Human pose estimation is a challenging task due to its structured data sequence nature. Existing methods primarily focus on pair-wise interaction of body joints, which is insuffici…