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Ke Gu

5 accepted papers

2026

PERFORMSINGER: MULTIMODAL SINGING VOICE SYNTHESIS LEVERAGING SYNCHRONIZED LIP CUES FROM SINGING PERFORMANCE VIDEOS

ICASSP 2026poster

Existing singing voice synthesis (SVS) models largely rely on fine-grained, phoneme-level durations, which limits their practical application. These methods overlook the complementary role of visual information in duration prediction.To address these issues, we propose PerformSinger, a pioneering mu…

Cited by 0SourcePDFScholar
2026

UQ-Bench: A Benchmark for Evaluating Multimodal LLMs on Underwater Image Quality Assessment

AAAI 2026technical

Despite the rapid progress of multimodal large language models (MLLMs), their capacity for low-level visual perception in underwater environments remains underexplored. To address this gap, we present UQ-Bench, the first systematically designed benchmark for evaluating the ability of MLLMs to percei

Cited by 0SourcePDFScholar
2025

Generating Gezi Opera Scores with a Large Language Model and a High-Quality Dataset

ICASSP 2025accepted

Despite significant progress in music generation technology recently, covering various unique styles and genres, the generation of Chinese opera scores still urgently requires more attention, primarily due to the lack of a high-quality and lyric-melody alignment opera score dataset. In this study, w…

Cited by 0SourceScholar
2019

Blind Quality Assessment for 3D-synthesized Images by Measuring Geometric Distortions and Image Complexity

ICASSP 2019accepted

Free viewpoint video (FVV), owing to its comprehensive applications in immersive entertainment, remote surveillance and distanced education, has received extensive attention and been regarded as a new important direction of video technology development. Depth image-based rendering (DIBR) technologie…

Cited by 0SourceScholar
2016

No-reference image quality assessment for photographic images of consumer device

ICASSP 2016accepted

In this paper we study common, camera-specific kinds of distortions and propose a no-reference image quality assessment algorithm for photographic images produced by consumer devices. Those real consumer-type images, being different from simulated-distortion images, are with realistic artifacts and…

Cited by 0SourceScholar