3 citations · 6 across the 8 of their papers we have counts for
6 papers · 1 filter
All Roads Lead to Rome: Incentivizing Divergent Thinking in Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang +3
Recent studies have demonstrated that Reinforcement Learning (RL), notably Group Relative Policy Optimization (GRPO), can intrinsically elicit and enhance the reasoning capabilitie…
More Thought, Less Accuracy? On the Dual Nature of Reasoning in Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang +5
Reasoning has emerged as a pivotal capability in Large Language Models (LLMs). Through Reinforcement Learning (RL), typically Group Relative Policy Optimization (GRPO), these model…
Probability Density Geodesics in Image Diffusion Latent Space
Qingtao Yu, Jaskirat Singh, Zhaoyuan Yang +5
Diffusion models indirectly estimate the probability density over a data space, which can be used to study its structure. In this work, we show that geodesics can be computed in di…
IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models
Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu +5
We present a diffusion-based image morphing approach with perceptually-uniform sampling (IMPUS) that produces smooth, direct and realistic interpolations given an image pair. The e…
Grounded Language Acquisition From Object and Action Imagery
James Robert Kubricht, Zhaoyuan Yang, Jianwei Qiu +1
Deep learning approaches to natural language processing have made great strides in recent years. While these models produce symbols that convey vast amounts of diverse knowledge, i…
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
Peter Tu, Zhaoyuan Yang, Richard Hartley +6
This paper begins with a description of methods for estimating image probability density functions that reflects the observation that such data is usually constrained to lie in res…