activity
20232025
most citedRobustSAM: Segment Anything Robustly on Degraded Images

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

DiffVQA: Video Quality Assessment Using Diffusion Feature Extractor

Wei-Ting Chen, Yu-Jiet Vong, Yi-Tsung Lee +4

Video Quality Assessment (VQA) aims to evaluate video quality based on perceptual distortions and human preferences. Despite the promising performance of existing methods using Con…

cs.CV2024

InstantRestore: Single-Step Personalized Face Restoration with Shared-Image Attention

Howard Zhang, Yuval Alaluf, Sizhuo Ma +3

Face image restoration aims to enhance degraded facial images while addressing challenges such as diverse degradation types, real-time processing demands, and, most crucially, the…

cs.CV2024

Delving Deep into Engagement Prediction of Short Videos

Dasong Li, Wenjie Li, Baili Lu +4

Understanding and modeling the popularity of User Generated Content (UGC) short videos on social media platforms presents a critical challenge with broad implications for content c…

cs.CV2024★ 1 cited

RobustSAM: Segment Anything Robustly on Degraded Images

Wei-Ting Chen, Yu-Jiet Vong, Sy-Yen Kuo +2

Segment Anything Model (SAM) has emerged as a transformative approach in image segmentation, acclaimed for its robust zero-shot segmentation capabilities and flexible prompting sys…

cs.CV2024

DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformer

Wei-Ting Chen, Gurunandan Krishnan, Qiang Gao +3

Generic Face Image Quality Assessment (GFIQA) evaluates the perceptual quality of facial images, which is crucial in improving image restoration algorithms and selecting high-quali…

eess.IV2024

Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Prior

Baiang Li, Sizhuo Ma, Yanhong Zeng +5

Capturing High Dynamic Range (HDR) scenery using 8-bit cameras often suffers from over-/underexposure, loss of fine details due to low bit-depth compression, skewed color distribut…

cs.CV2023

Personalized Restoration via Dual-Pivot Tuning

Pradyumna Chari, Sizhuo Ma, Daniil Ostashev +4

Generative diffusion models can serve as a prior which ensures that solutions of image restoration systems adhere to the manifold of natural images. However, for restoring facial i…

cs.CV2023

Velocity Disambiguation for Video Frame Interpolation

Zhihang Zhong, Yiming Zhang, Wei Wang +5

Existing video frame interpolation (VFI) methods blindly predict where each object is at a specific timestep t ("time indexing"), which struggles to predict precise object movement…