activity
20172023
most citedForm + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation

12 citations · 29 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 3 cited

Attributing Image Generative Models using Latent Fingerprints

Guangyu Nie, Changhoon Kim, Yezhou Yang +1

Generative models have enabled the creation of contents that are indistinguishable from those taken from nature. Open-source development of such models raised concerns about the ri…

cs.RO2020★ 1 cited

When Shall I Be Empathetic? The Utility of Empathetic Parameter Estimation in Multi-Agent Interactions

Yi Chen, Lei Zhang, Tanner Merry +3

Human-robot interactions (HRI) can be modeled as dynamic or differential games with incomplete information, where each agent holds private reward parameters. Due to the open challe…

cs.CV2020★ 6 cited

Decentralized Attribution of Generative Models

Changhoon Kim, Yi Ren, Yezhou Yang

Growing applications of generative models have led to new threats such as malicious personation and digital copyright infringement. One solution to these threats is model attributi…

cs.HC2019★ 12 cited

Form + Function: Optimizing Aesthetic Product Design via Adaptive, Geometrized Preference Elicitation

Namwoo Kang, Yi Ren, Fred Feinberg +1

Visual design is critical to product success, and the subject of intensive marketing research effort. Yet visual elements, due to their holistic and interactive nature, do not lend…

cs.CV2019★ 1 cited

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning

Jiaying Lu, Xin Ye, Yi Ren +1

Multiple-choice VQA has drawn increasing attention from researchers and end-users recently. As the demand for automatically constructing large-scale multiple-choice VQA data grows,…

cs.CV2019

Image Decomposition and Classification through a Generative Model

Houpu Yao, Malcolm Regan, Yezhou Yang +1

We demonstrate in this paper that a generative model can be designed to perform classification tasks under challenging settings, including adversarial attacks and input distributio…