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Kejun Wu

3 accepted papers

2025

CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning

COLING 2025main

Document-level Relation Extraction (DocRE) aims to extract relations from documents. Compared with sentence-level relation extraction, it is necessary to extract long-distance dependencies. Existing methods enhance the output of trained DocRE models either by learning logical rules or by extracting…

2024

Contextual Human Object Interaction Understanding from Pre-Trained Large Language Model

ICASSP 2024accepted

Existing human object interaction (HOI) detection methods have introduced zero-shot learning techniques to recognize unseen interactions, but they still have limitations in understanding context information and comprehensive reasoning. To overcome these limitations, we propose a novel HOI learning f…

Cited by 0SourceScholar
2023

Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method

NeurIPS 2023poster

The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment. However, they typically simulate the missing content by manual-designed error masks, thus failing to fill in the realistic video loss in video communica…