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

17 citations · 19 across the 6 of their papers we have counts for

collaborators

7 papers

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.CV20251 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.AI202417 cited

Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph

Zhiyu Fang, Shuai-Long Lei, Xiaobin Zhu +4

Temporal Knowledge Graph (TKG) reasoning often involves completing missing factual elements along the timeline. Although existing methods can learn good embeddings for each factual…

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…

cs.CV20211 cited

Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection

Shi-Xue Zhang, Xiaobin Zhu, Chun Yang +2

Arbitrary shape text detection is a challenging task due to the high complexity and variety of scene texts. In this work, we propose a novel adaptive boundary proposal network for…