activity
20242026
most citedMoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

M-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining

Rui Lv, Juncheng Mo, Tianyi Chu +11

Graphical User Interface (GUI) agent is pivotal to advancing intelligent human-computer interaction paradigms. Constructing powerful GUI agents necessitates the large-scale annotat…

cs.AI2025

SparkUI-Parser: Enhancing GUI Perception with Robust Grounding and Parsing

Hongyi Jing, Jiafu Chen, Chen Rao +9

The existing Multimodal Large Language Models (MLLMs) for GUI perception have made great progress. However, the following challenges still exist in prior methods: 1) They model dis…

cs.CV2025

GaussianUpdate: Continual 3D Gaussian Splatting Update for Changing Environments

Lin Zeng, Boming Zhao, Jiarui Hu +4

Novel view synthesis with neural models has advanced rapidly in recent years, yet adapting these models to scene changes remains an open problem. Existing methods are either labor-…

cs.CV2024

Cascaded Dual Vision Transformer for Accurate Facial Landmark Detection

Ziqiang Dang, Jianfang Li, Lin Liu

Facial landmark detection is a fundamental problem in computer vision for many downstream applications. This paper introduces a new facial landmark detector based on vision transfo…

cs.CV20241 cited

MoManifold: Learning to Measure 3D Human Motion via Decoupled Joint Acceleration Manifolds

Ziqiang Dang, Tianxing Fan, Boming Zhao +4

Incorporating temporal information effectively is important for accurate 3D human motion estimation and generation which have wide applications from human-computer interaction to A…