activity
20222025
most citedAIM 2022 Challenge on Instagram Filter Removal: Methods and Results

3 citations · 9 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2025

Edit-Your-Interest: Efficient Video Editing via Feature Most-Similar Propagation

Yi Zuo, Zitao Wang, Lingling Li +3

Text-to-image diffusion models have advanced video editing. However, existing video editing methods are limited by their high computational overhead and memory consumption. Further…

cs.CL2023★ 2 cited

Continual Event Extraction with Semantic Confusion Rectification

Zitao Wang, Xinyi Wang, Wei Hu

We study continual event extraction, which aims to extract incessantly emerging event information while avoiding forgetting. We observe that the semantic confusion on event types s…

cs.CV2023

The Robust Semantic Segmentation UNCV2023 Challenge Results

Xuanlong Yu, Yi Zuo, Zitao Wang +34

This paper outlines the winning solutions employed in addressing the MUAD uncertainty quantification challenge held at ICCV 2023. The challenge was centered around semantic segment…

cs.CV2023

EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting

Zitao Wang, Qiguang Miao, Peipei Zhao +1

The portrait matting task aims to extract an alpha matte with complete semantics and finely-detailed contours. In comparison to CNN-based approaches, transformers with self-attenti…

cs.CL2023★ 2 cited

Serial Contrastive Knowledge Distillation for Continual Few-shot Relation Extraction

Xinyi Wang, Zitao Wang, Wei Hu

Continual few-shot relation extraction (RE) aims to continuously train a model for new relations with few labeled training data, of which the major challenges are the catastrophic…

cs.CV2022★ 3 cited

AIM 2022 Challenge on Instagram Filter Removal: Methods and Results

Furkan Kınlı, Sami Menteş, Barış Özcan +30

This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations,…

cs.CL2022★ 2 cited

Enhancing Document-level Relation Extraction by Entity Knowledge Injection

Xinyi Wang, Zitao Wang, Weijian Sun +1

Document-level relation extraction (RE) aims to identify the relations between entities throughout an entire document. It needs complex reasoning skills to synthesize various knowl…