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20232026
most citedQUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

5 citations · 6 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

ER-Chord: Spatially Consistent One-Step Image Editing via Equal-Energy Reliability Redistribution

Peize Li, Hanzhen Zhao, Xingguo Xu +6

One-step generative models enable fast text-guided image editing, yet they often introduce unintended changes to regions that should remain unchanged. Temporal aggregation stabiliz…

cs.CV2026

MFVSR: A Multi-Style and Fine-Grained Benchmark for Video Subtitle Removal

Xiyan Huang, Qingdong He, Peng Tang +3

Video subtitle removal (VSR) is an important video restoration task, yet existing evaluation remains limited by low-resolution datasets, fragmented test sets, and generic video-inp…

cs.CV2026

CLEAR: Context-Aware Learning with End-to-End Mask-Free Inference for Adaptive Video Subtitle Removal

Qingdong He, Chaoyi Wang, Peng Tang +2

Video subtitle removal aims to distinguish text overlays from background content while preserving temporal coherence. Existing diffusion-based methods necessitate explicit mask seq…

cs.CV2025

Guiding a Diffusion Transformer with the Internal Dynamics of Itself

Xingyu Zhou, Qifan Li, Xiaobin Hu +2

The diffusion model presents a powerful ability to capture the entire (conditional) data distribution. However, due to the lack of sufficient training and data to learn to cover lo…

cs.CV2023★ 1 cited

Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification

Peng Tang, Xintong Yan, Yang Nan +3

Most convolutional neural network (CNN) based methods for skin cancer classification obtain their results using only dermatological images. Although good classification results hav…