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From the 1 of 10 linked papers with an AI index.

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20242026
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cs.CV2026

DynoDINO: Harnessing Dynamic Latent Information from DINO Features for Multi-Phase Medical Image Segmentation

Yu-Pu Hsu, Jen-Jee Chen, Yu-Chee Tseng

Multi-phase Contrast-Enhanced Computed Tomography (CECT) plays a central role in the diagnosis and characterization of focal lesions by capturing temporal enhancement patterns acro…

cs.CV2026

ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QA

Ping-Kun Chiang, Kun-Ru Wu, Po-han Li +3

ViewMind3D is a training‑free, modular framework that answers 3D questions by selecting relevant views, grounding objects with language cues, encoding spatial context via a bird's‑…

cs.CV2026

Partial Ring Scan: Revisiting Scan Order in Vision State Space Models

Yi-Kuan Hsieh, Kuan-Chuan Peng, Xin li +3

State Space Models (SSMs) have emerged as efficient alternatives to attention for vision tasks, offering lineartime sequence processing with competitive accuracy. Vision SSMs, howe…

cs.CV2026

WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment

Tzu-Ti Wei, Chu-Yu Huang, Yu-Chee Tseng +1

Privacy-preserving semantic understanding of human activities is important for indoor sensing, yet existing Wi-Fi CSI-based systems mainly focus on pose estimation or predefined ac…

cs.CV2026

DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMs

Bo-Cheng Chiu, Jen-Jee Chen, Yu-Chee Tseng +2

Large Language Models (LLMs) have recently been extended to the video domain, enabling sophisticated video-language understanding. However, existing Video LLMs often exhibit limita…

cs.CV2025

Block-based Symmetric Pruning and Fusion for Efficient Vision Transformers

Yi-Kuan Hsieh, Jun-Wei Hsieh, Xin Li +2

Vision Transformer (ViT) has achieved impressive results across various vision tasks, yet its high computational cost limits practical applications. Recent methods have aimed to re…