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Jiayi Fu

7 accepted papers

2026

VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation

AAAI 2026technical

Due to large pixel movement and high computational cost, estimating the motion of high-resolution frames is challenging. Thus, most flow-based Video Frame Interpolation (VFI) methods first predict bidirectional flows at low resolution and then use high-magnification upsampling (e.g., bilinear) to ob

Cited by 0SourcePDFScholar
2025

FaceMe: Robust Blind Face Restoration with Personal Identification

AAAI 2025technical

Blind face restoration is a highly ill-posed problem due to the lack of necessary context. Although existing methods produce high-quality outputs, they often fail to faithfully preserve the individual's identity. In this paper, we propose a personalized face restoration method, FaceMe, based on a di…

2025

Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing

CVPR 2025poster

We propose a novel Iterative Predictor-Critic Code Decoding framework for real-world image dehazing, abbreviated as IPC-Dehaze, which leverages the high-quality codebook prior encapsulated in a pre-trained VQGAN. Apart from previous codebook-based methods that rely on one-shot decoding, our method u…

2024

GumbelSoft: Diversified Language Model Watermarking via the GumbelMax-trick

ACL 2024long

Large language models (LLMs) excellently generate human-like text, but also raise concerns about misuse in fake news and academic dishonesty. Decoding-based watermark, particularly the watermark based on the GumbelMax trick (GM watermark), is a standout solution for safeguarding machine-generated te…

2024

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios

ACL 2024findings

Although chain-of-thought (CoT) prompting combined with language models has achieved encouraging results on complex reasoning tasks, the naive greedy decoding used in CoT prompting usually causes the repetitiveness and local optimality. To address this shortcoming, ensemble-optimization tries to obt…

2024

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization

ACL 2024findings

Empowering Large Language Models (LLMs) with distinct human-like personality traits has become an innovative task for developing advanced dialog systems.Although LLMs demonstrate impressive capabilities in following instructions, directly prompting them to exhibit certain personalities through manua…

Cited by 0SourcePDFScholar
2024

SocialGaze: Improving the Integration of Human Social Norms in Large Language Models

EMNLP 2024finding

While much research has explored enhancing the reasoning capabilities of large language models (LLMs) in the last few years, there is a gap in understanding the alignment of these models with social values and norms. We introduce the task of judging social acceptance. Social acceptance requires mode…