activity
20192026
most citedK-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

135 citations · 239 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding

Benlei Cui, Ruize Wang, Junjie Li +9

Long-form video understanding requires locating sparse, question-relevant evidence in long, multimodal videos. Real-world video distributions differ in modality-specific informatio…

cs.CV2026

AutoTraces: Autoregressive Trajectory Forecasting via Multimodal Large Language Models

Teng Wang, Yanting Lu, Ruize Wang

We present AutoTraces, an autoregressive vision-language-trajectory model for robot trajectory forecasting in humam-populated environments, which harnesses the inherent reasoning c…

cs.CV2021★ 2 cited

TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning

Zhihao Fan, Zhongyu Wei, Siyuan Wang +4

Existing research for image captioning usually represents an image using a scene graph with low-level facts (objects and relations) and fails to capture the high-level semantics. I…

cs.CL2020★ 4 cited

Neural Deepfake Detection with Factual Structure of Text

Wanjun Zhong, Duyu Tang, Zenan Xu +5

Deepfake detection, the task of automatically discriminating machine-generated text, is increasingly critical with recent advances in natural language generative models. Existing a…

cs.MM2020★ 93 cited

Look, Listen, and Attend: Co-Attention Network for Self-Supervised Audio-Visual Representation Learning

Ying Cheng, Ruize Wang, Zhihao Pan +2

When watching videos, the occurrence of a visual event is often accompanied by an audio event, e.g., the voice of lip motion, the music of playing instruments. There is an underlyi…

cs.CL2020★ 1 cited

Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection

Ruize Wang, Duyu Tang, Nan Duan +5

We study the detection of propagandistic text fragments in news articles. Instead of merely learning from input-output datapoints in training data, we introduce an approach to inje…