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20082026
most citedUnifying Large Language Models and Knowledge Graphs: A Roadmap

1.2k citations

Showing 2025 · cs.CVShow all

9 papers · 2 filters

cs.CV2025★ 1 cited

SS4D: Native 4D Generative Model via Structured Spacetime Latents

Zhibing Li, Mengchen Zhang, Tong Wu +3

We present SS4D, a native 4D generative model that synthesizes dynamic 3D objects directly from monocular video. Unlike prior approaches that construct 4D representations by optimi…

cs.CV2025★ 1 cited

ARPGNet: Appearance- and Relation-aware Parallel Graph Attention Fusion Network for Facial Expression Recognition

Yan Li, Yong Zhao, Xiaohan Xia +1

The key to facial expression recognition is to learn discriminative spatial-temporal representations that embed facial expression dynamics. Previous studies predominantly rely on p…

cs.CV2025

ArchMap: Arch-Flattening and Knowledge-Guided Vision Language Model for Tooth Counting and Structured Dental Understanding

Bohan Zhang, Yiyi Miao, Taoyu Wu +6

A structured understanding of intraoral 3D scans is essential for digital orthodontics. However, existing deep-learning approaches rely heavily on modality-specific training, large…

cs.CV2025

Capturing Context-Aware Route Choice Semantics for Trajectory Representation Learning

Ji Cao, Yu Wang, Tongya Zheng +6

Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction…

cs.CV2025

SEDEG:Sequential Enhancement of Decoder and Encoder's Generality for Class Incremental Learning with Small Memory

Hongyang Chen, Shaoling Pu, Lingyu Zheng +1

In incremental learning, enhancing the generality of knowledge is crucial for adapting to dynamic data inputs. It can develop generalized representations or more balanced decision…

cs.CV2025

From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge Expansion

Zheng Wang, Kai Ying, Bin Xu +2

Accurate near-real-time precipitation retrieval has been enhanced by satellite-based technologies. However, infrared-based algorithms have low accuracy due to weak relations with s…

cs.CV2025★ 12 cited

DPNet: Dynamic Pooling Network for Tiny Object Detection

Luqi Gong, Haotian Chen, Yikun Chen +4

In unmanned aerial systems, especially in complex environments, accurately detecting tiny objects is crucial. Resizing images is a common strategy to improve detection accuracy, pa…

cs.CV2025

SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative Priors

Yiqing Li, Xuan Wang, Jiawei Wu +2

Synthesizing novel views of large-scale scenes from unconstrained in-the-wild images is an important but challenging task in computer vision. Existing methods, which optimize per-i…

cs.CV2025★ 28 cited

Pedestrian Trajectory Prediction Based on Social Interactions Learning With Random Weights

Jiajia Xie, Sheng Zhang, Beihao Xia +5

Pedestrian trajectory prediction is a critical technology in the evolution of self-driving cars toward complete artificial intelligence. Over recent years, focusing on the trajecto…