1 citations · 2 across the 6 of their papers we have counts for
7 papers
VisualErase: Dual-Branch Visual Trajectory Redirection for Robust Concept Erasure in Text-to-Image Diffusion Models
Qianlong Xiang, Miao Zhang, Kun Wang +3
Concept erasure is essential for the safe deployment of text-to-image diffusion models, as they may reproduce harmful, copyrighted, or privacy-sensitive content learned from uncons…
ParseFixer: An Agentic Framework for Document Parsing via Selective Multimodal Correction
LeKai Yu, Hao Liu, Kun Wang +4
In this report, we present our third-place solution for the DataMFM Challenge Track 1: Document Parsing. This track requires models to recover structured Markdown documents from do…
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results
Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin +40
This paper presents an overview of the NTIRE 2026 Challenge on Video Saliency Prediction. The goal of the challenge participants was to develop automatic saliency map prediction me…
ViSAGE @ NTIRE 2026 Challenge on Video Saliency Prediction
Kun Wang, Yupeng Hu, Zhiran Li +3
In this report, we present our champion solution for the NTIRE 2026 Challenge on Video Saliency Prediction held in conjunction with CVPR 2026. To exploit complementary inductive bi…
NeuroPath: Practically Adopting Motor Imagery Decoding through EEG Signals
Jiani Cao, Kun Wang, Yang Liu +1
Motor Imagery (MI) is an emerging Brain-Computer Interface (BCI) paradigm where a person imagines body movements without physical action. By decoding scalp-recorded electroencephal…
MIST: Towards Multi-dimensional Implicit BiaS Evaluation of LLMs for Theory of Mind
Yanlin Li, Hao Liu, Huimin Liu +3
Theory of Mind (ToM) in Large Language Models (LLMs) refers to the model's ability to infer the mental states of others, with failures in this ability often manifesting as systemic…
Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
Yupeng Hu, Han Jiang, Hao Liu +3
Recently, temporal action localization (TAL) has garnered significant interest in information retrieval community. However, existing supervised/weakly supervised methods are heavil…