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Microsoft at CVPR 2024: Innovations in computer vision and AI research

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models

Exploring how context, culture, and character matter in avatar research

FeatUp: A Model-Agnostic Framework for Features at Any Resolution

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Published Date

Publication

AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding

Haozhe Qi, Kevin Qu, Mahdi Rad, Rui Wang, Alexander Mathis, Marc Pollefeys

March 2026

Publication

ProgressVLA: Progress-Guided Diffusion Policy for Vision-Language Robotic Manipulation

Hongyu Yan, Qiwei Li, Jiaolong Yang, Yadong Mu

March 2026

Publication

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale

Gedeon Muhawenayo, Caleb Robinson, Subash Khanal, Zhanpei Fang, I. Corley, A. Wollam, Tianyi Gao, L. Strnad, Ryan Avery, Lyndon D. Estes, A. M. T'arano, Nathan Jacobs, Hannah Kerner

March 2026

Publication

OVI-MAP:Open-Vocabulary Instance-Semantic Mapping

Zilong Deng, Federico Tombari, Marc Pollefeys, Johanna Wald, Dániel Baráth

March 2026

Publication

LACON: Training Text-to-Image Model from Uncurated Data

Zhiyang Liang, Ziyu Wan, Hongyu Liu, Dong Chen, Qiu Shen, Hao Zhu, Dongdong Chen

March 2026

Microsoft Research Blog

AsgardBench: A benchmark for visually grounded interactive planning

March 26, 2026 | Andrea Tupini, Lars Liden, Reuben Tan, Yu Wang, Jianfeng Gao

Imagine a robot tasked with cleaning a kitchen. It needs to observe its environment, decide what to do, and adjust when things don’t go as expected, for example, when the mug it was tasked to…

AsgardBench | three whit icons on a blue to purple gradient background | first icon shows a laptop screen with a eye in the upper right corner, second icon shows relational nodes | third icon is a security shield with a checkmark

Microsoft Research Blog

GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation

March 26, 2026 | Sehun Jung, HyunJee Song, Dong-Hee Kim, Reuben Tan, Jianfeng Gao, Yong Jae Lee, Donghyun Kim

Vision-language models (VLMs) use images and text to plan robot actions, but they still struggle to decide what actions to take and where to take them. Most systems split these decisions into two steps: a…

V2GP framework | Three white line icons, showing a target within a rounded square, a checklist, and a robotic arm, on a blue‑to‑green gradient background.

Publication

HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models

Huizhi Liang, Yichao Shen, Yu Deng, Sicheng Xu, Zhiyuan Feng, Tong Zhang, Yaobo Liang, Jiaolong Yang

CVPR 2026 | March 2026

Publication

BizGenEval: A Systematic Benchmark for Commercial Visual Content Generation

Yan Li, Zezi Zeng, Ziwei Zhou, Xin Gao, Muzhao Tian, Yifan Yang, Ming-Hung Cheng, Qiaomin Dai, Yuqing Yang, Lili Qiu, Zhendong Wang, Zhengyuan Yang, Xue Yang, Lijuan Wang, Ji Li, Chong Luo

March 2026

Publication

MegaFlow: Zero-Shot Large Displacement Optical Flow

Dingxi Zhang, Fangjinhua Wang, Marc Pollefeys, Haofei Xu

March 2026

Computer Vision

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