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20242026
most citedPrompt-Aware Controllable Shadow Removal

4 citations · 7 across the 20 of their papers we have counts for

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cs.CV2026

NTIRE 2026 3D Restoration and Reconstruction in Real-world Adverse Conditions: RealX3D Challenge Results

Shuhong Liu, Chenyu Bao, Ziteng Cui +103

This paper presents a comprehensive review of the NTIRE 2026 3D Restoration and Reconstruction (3DRR) Challenge, detailing the proposed methods and results. The challenge seeks to…

cs.CV2026

Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation

Fei Wang, Xinye Zheng, Kun Li +5

Predicting enzyme kinetic parameters quantifies how efficiently an enzyme catalyzes a specific substrate under defined biochemical conditions. Canonical parameters such as the turn…

cs.CV2026

3D Smoke Scene Reconstruction Guided by Vision Priors from Multimodal Large Language Models

Xinye Zheng, Fei Wang, Yiqi Nie +5

Reconstructing 3D scenes from smoke-degraded multi-view images is particularly difficult because smoke introduces strong scattering effects, view-dependent appearance changes, and…

cs.CV2026

MA-Bench: Towards Fine-grained Micro-Action Understanding

Kun Li, Jihao Gu, Fei Wang +3

With the rapid development of Multimodal Large Language Models (MLLMs), their potential in Micro-Action understanding, a vital role in human emotion analysis, remains unexplored du…

cs.CV2026

Evidence Packing for Cross-Domain Image Deepfake Detection with LVLMs

Yuxin Liu, Fei Wang, Kun Li +4

Image Deepfake Detection (IDD) separates manipulated images from authentic ones by spotting artifacts of synthesis or tampering. Although large vision-language models (LVLMs) offer…

cs.CV2026

MER-Bench: A Comprehensive Benchmark for Multimodal Meme Reappraisal

Yiqi Nie, Fei Wang, Junjie Chen +5

Memes represent a tightly coupled, multimodal form of social expression, in which visual context and overlaid text jointly convey nuanced affect and commentary. Inspired by cogniti…