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From the 1 of 16 linked papers with an AI index.

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20242026
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cs.CV2026

A Tool Bottleneck Framework for Clinically-Informed and Interpretable Medical Image Understanding

Christina Liu, Alan Q. Wang, Joy Hsu +2

Recent tool-use frameworks powered by vision-language models (VLMs) improve image understanding by grounding model predictions with specialized tools. Broadly, these frameworks lev…

cs.CV2026

HumanScore: Benchmarking Human Motions in Generated Videos

Yusu Fang, Tiange Xiang, Tian Tan +4

Recent advances in model architectures, compute, and data scale have driven rapid progress in video generation, producing increasingly realistic content. Yet, no prior method syste…

cs.CV2026

ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body

Juze Zhang, Changan Chen, Xin Chen +5

Human communication is inherently multimodal and social: words, prosody, and body language jointly carry intent. Yet most prior systems model human behavior as a translation task c…

cs.CV2026

Latent Forcing: Reordering the Diffusion Trajectory for Pixel-Space Image Generation

Alan Baade, Eric Ryan Chan, Kyle Sargent +4

Latent diffusion models excel at generating high-quality images but lose the benefits of end-to-end modeling. They discard information during image encoding, require a separately t…

cs.CV2026

VideoWeave: A Data-Centric Approach for Efficient Video Understanding

Zane Durante, Silky Singh, Arpandeep Khatua +6

Training video-language models is often prohibitively expensive due to the high cost of processing long frame sequences and the limited availability of annotated long videos. We pr…

cs.CV2025

Repurposing 2D Diffusion Models for 3D Shape Completion

Yao He, Youngjoong Kwon, Tiange Xiang +2

We present a framework that adapts 2D diffusion models for 3D shape completion from incomplete point clouds. While text-to-image diffusion models have achieved remarkable success w…