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20202026
most citedTransformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph

17 citations · 22 across the 12 of their papers we have counts for

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12 papers · 1 filter

cs.CV2026

OmniWeaving: Towards Unified Video Generation with Free-form Composition and Reasoning

Kaihang Pan, Qi Tian, Jianwei Zhang +11

While proprietary systems such as Seedance-2.0 have achieved remarkable success in omni-capable video generation, open-source alternatives significantly lag behind. Most academic m…

cs.CV2026

Unify-Agent: A Unified Multimodal Agent for World-Grounded Image Synthesis

Shuang Chen, Quanxin Shou, Hangting Chen +16

Unified multimodal models provide a natural and promising architecture for understanding diverse and complex real-world knowledge while generating high-quality images. However, the…

cs.CV2025★ 1 cited

VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation

Shi-Xue Zhang, Hongfa Wang, Duojun Huang +3

Video captions play a crucial role in text-to-video generation tasks, as their quality directly influences the semantic coherence and visual fidelity of the generated videos. Altho…

cs.CV2024

Video-Language Alignment via Spatio-Temporal Graph Transformer

Shi-Xue Zhang, Hongfa Wang, Xiaobin Zhu +5

Video-language alignment is a crucial multi-modal task that benefits various downstream applications, e.g., video-text retrieval and video question answering. Existing methods eith…

cs.CV2024★ 1 cited

Inverse-like Antagonistic Scene Text Spotting via Reading-Order Estimation and Dynamic Sampling

Shi-Xue Zhang, Chun Yang, Xiaobin Zhu +3

Scene text spotting is a challenging task, especially for inverse-like scene text, which has complex layouts, e.g., mirrored, symmetrical, or retro-flexed. In this paper, we propos…

cs.CV2022

Scene Text Recognition with Single-Point Decoding Network

Lei Chen, Haibo Qin, Shi-Xue Zhang +2

In recent years, attention-based scene text recognition methods have been very popular and attracted the interest of many researchers. Attention-based methods can adaptively focus…