activity
20222026
most citedA Foundation Model for Cell Segmentation

7 citations · 10 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Harnessing Domain Specialists in Multimodal Mixture-of-Experts for Efficient Adaptation

Damiano Marsili, Raphi Kang, Aditya Mehta +2

Mixture-of-Experts (MoE) architectures scale model capacity through sparse computation, routing each token through only a small subset of experts. In this work, we explore whether…

cs.CV2026

Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models

Raphi Kang, Hongqiao Chen, Georgia Gkioxari +1

Spatio-temporal reasoning is a remarkable capability of Vision Language Models (VLMs), but the underlying mechanisms of such abilities remain largely opaque. We postulate that visu…

cs.CV2026

NitroGen: An Open Foundation Model for Generalist Gaming Agents

Loïc Magne, Anas Awadalla, Guanzhi Wang +11

We introduce NitroGen, a vision-action foundation model for generalist gaming agents that is trained on 40,000 hours of gameplay videos across more than 1,000 games. We incorporate…

cs.CV2025

Feedforward 3D Editing via Text-Steerable Image-to-3D

Ziqi Ma, Hongqiao Chen, Yisong Yue +1

Recent progress in image-to-3D has opened up immense possibilities for design, AR/VR, and robotics. However, to use AI-generated 3D assets in real applications, a critical requirem…

cs.LG2025

Is CLIP ideal? No. Can we fix it? Yes!

Raphi Kang, Yue Song, Georgia Gkioxari +1

Contrastive Language-Image Pre-Training (CLIP) is a popular method for learning multimodal latent spaces with well-organized semantics. Despite its wide range of applications, CLIP…

q-bio.QM2023★ 7 cited

A Foundation Model for Cell Segmentation

Uriah Israel, Markus Marks, Rohit Dilip +11

Cells are the fundamental unit of biological organization, and identifying them in imaging data - cell segmentation - is a critical task for various cellular imaging experiments. W…

cs.CV2022★ 3 cited

BKinD-3D: Self-Supervised 3D Keypoint Discovery from Multi-View Videos

Jennifer J. Sun, Lili Karashchuk, Amil Dravid +9

Quantifying motion in 3D is important for studying the behavior of humans and other animals, but manual pose annotations are expensive and time-consuming to obtain. Self-supervised…