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20242026
most citedEMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation

13 citations · 17 across the 18 of their papers we have counts for

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Showing 2026 · cs.CVShow all

5 papers · 2 filters

cs.CV2026

Accelerating Video Diffusion via Training-Free Trajectory Routing

Mustafa Munir, Huy Vu, Shreyas Misra +7

Video diffusion is computationally expensive, as it requires executing a large model across many denoising steps. Even with step-distillation, inference remains expensive because e…

cs.CV2026

Can Graphs Help Vision SSMs See Better?

Dhruv Parikh, Anvitha Ramachandran, Haoyang Fan +3

Vision state space models inherit the efficiency and long-range modeling ability of Mamba-style selective scans. However, their performance depends critically on the representation…

cs.CV2026

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery

Dennis Menn, Yuedong Yang, Bokun Wang +6

Current video generation models suffer from high computational latency, making real-time applications prohibitively costly. In this paper, we address this limitation by exploiting…

cs.CV2026

Parameter Efficient Fine-tuning for Domain-specific Gastrointestinal Disease Recognition

Sanjaya Poudel, Nikita Kunwor, Raj Simkhada +3

Despite recent advancements in the field of medical image analysis with the use of pretrained foundation models, the issue of distribution shifts between cross-source images largel…

cs.CV2026

Fuel Gauge: Estimating Chain-of-Thought Length Ahead of Time in Large Multimodal Models

Yuedong Yang, Xiwen Wei, Mustafa Munir +1

Reasoning Large Multi-modality Models (LMMs) have become the de facto choice for many applications. However, these models rely on a Chain-of-Thought (CoT) process that is lengthy a…