output
20192026
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations

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65 papers · 1 filter

cs.CV2026

IntentQA: Intent Question Answering in Videos by Cognitive Context Reasoning

Jiapeng Li, Ping Wei, Wenjuan Han +2

Video understanding requires intelligent agents to transcend mere recognition of visual facts and comprehend the underlying intents behind human actions (often termed the "dark mat…

cs.CV2026

Revisiting Shape and Texture Reliance with Category-Separability-Calibrated Suppression

Ning Jiang, Tianyi Luo, Zhengyong Huang +1

Feature-suppression evaluations infer model reliance on shape or texture from the accuracy loss caused by attenuating each type of information. Such losses, however, conflate featu…

cs.CV2026

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning

Kai Jiang, Zisong Lin, Hongyuan Zhang +2

Class Incremental Learning (CIL) aims to learn new concepts consistently from a data stream without forgetting. Unlike typical CIL methods which need to learn a model from scratch,…

cs.CV2026

LDFE: Laplacian Decoupled Feature Enhancement Block for Dual-Stream CNN-based RGB-IR Object Detection

Wenhao Dong, Xiaoyan Luo, Linlin Yang +4

The complementary information between RGB and IR images can significantly enhance object detection performance under extreme conditions. Existing methods prefer dual-stream CNN bac…

cs.CV2026

TriDP-PTM: a three-stage distortion-perception tradeoff guides the pre-training model for radar cardiac sensing

Jinye Li, Aidong Men, Yang Liu +1

Cardiovascular diseases (CVDs) remain a leading cause of death globally, necessitating continuous, accurate non-invasive cardiac monitoring. While non-contact radar-based approache…

cs.CV2026

UniVidX: A Unified Multimodal Framework for Versatile Video Generation via Diffusion Priors

Houyuan Chen, Hong Li, Xianghao Kong +8

Recent progress has shown that video diffusion models (VDMs) can be repurposed for diverse multimodal graphics tasks. However, existing methods often train separate models for each…