activity
20232026
most citedScaling Up LLM Reviews for Google Ads Content Moderation

13 citations · 52 across the 48 of their papers we have counts for

collaborators
Showing 2025 · cs.CVShow all

5 papers · 2 filters

cs.CV2025★ 1 cited

OlmoEarth: Stable Latent Image Modeling for Multimodal Earth Observation

Henry Herzog, Favyen Bastani, Yawen Zhang +23

Earth observation data presents a unique challenge: it is spatial like images, sequential like video or text, and highly multimodal. We present OlmoEarth: a multimodal, spatio-temp…

cs.CV2025

Contrastive Flow Matching

George Stoica, Vivek Ramanujan, Xiang Fan +3

Unconditional flow-matching trains diffusion models to transport samples from a source distribution to a target distribution by enforcing that the flows between sample pairs are un…

cs.CV2025

PointArena: Probing Multimodal Grounding Through Language-Guided Pointing

Long Cheng, Jiafei Duan, Yi Ru Wang +12

Pointing serves as a fundamental and intuitive mechanism for grounding language within visual contexts, with applications spanning robotics, assistive technologies, and interactive…

cs.CV2025

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation

Shivam Duggal, Yushi Hu, Oscar Michel +7

Despite the unprecedented progress in the field of 3D generation, current systems still often fail to produce high-quality 3D assets that are visually appealing and geometrically a…

cs.CV2025

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation

Yue Yang, Ajay Patel, Matt Deitke +8

Reasoning about images with rich text, such as charts and documents, is a critical application of vision-language models (VLMs). However, VLMs often struggle in these domains due t…