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20212026
most citedLearning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

35 citations · 63 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs

Houcheng Jiang, Jiajun Fu, Junfeng Fang +4

Multimodal large language models are increasingly expected to perform thinking with images, yet existing visual latent reasoning methods still rely on explicit textual chain-of-tho…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…

cs.CV2023

SiT-MLP: A Simple MLP with Point-wise Topology Feature Learning for Skeleton-based Action Recognition

Shaojie Zhang, Jianqin Yin, Yonghao Dang +1

Graph convolution networks (GCNs) have achieved remarkable performance in skeleton-based action recognition. However, previous GCN-based methods rely on elaborate human priors exce…

cs.CV2023

An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop

Jiajun Fu, Yonghao Dang, Ruoqi Yin +4

This technical report describes our first-place solution to the pose estimation challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop. In this chal…

cs.CV2022★ 35 cited

Learning Constrained Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction

Jiajun Fu, Fuxing Yang, Yonghao Dang +2

Human motion prediction is challenging due to the complex spatiotemporal feature modeling. Among all methods, graph convolution networks (GCNs) are extensively utilized because of…

eess.IV2021

U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction

Yuanyuan Lyu, Jiajun Fu, Cheng Peng +1

Recently, both supervised and unsupervised deep learning methods have been widely applied on the CT metal artifact reduction (MAR) task. Supervised methods such as Dual Domain Netw…