activity
20212025
most citedWorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs

4 citations · 10 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Painted Heart Beats

Angshu Adhya, Cindy Yang, Emily Wu +3

In this work we present AURA, a framework for synergistic human-artist painting. We developed a robot arm that collaboratively paints with a human artist. The robot has an awarenes…

cs.CV2024★ 1 cited

VisionGPT-3D: A Generalized Multimodal Agent for Enhanced 3D Vision Understanding

Chris Kelly, Luhui Hu, Jiayin Hu +7

The evolution of text to visual components facilitates people's daily lives, such as generating image, videos from text and identifying the desired elements within the images. Comp…

cs.CV2024★ 3 cited

VisionGPT: Vision-Language Understanding Agent Using Generalized Multimodal Framework

Chris Kelly, Luhui Hu, Bang Yang +7

With the emergence of large language models (LLMs) and vision foundation models, how to combine the intelligence and capacity of these open-sourced or API-available models to achie…

cs.CV2024★ 4 cited

WorldGPT: A Sora-Inspired Video AI Agent as Rich World Models from Text and Image Inputs

Deshun Yang, Luhui Hu, Yu Tian +5

Several text-to-video diffusion models have demonstrated commendable capabilities in synthesizing high-quality video content. However, it remains a formidable challenge pertaining…

cs.CV2023

UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework

Chris Kelly, Luhui Hu, Cindy Yang +6

In the current landscape of artificial intelligence, foundation models serve as the bedrock for advancements in both language and vision domains. OpenAI GPT-4 has emerged as the pi…

cs.LG2021★ 2 cited

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

Anish Agarwal, Abdullah Alomar, Varkey Alumootil +4

We consider offline reinforcement learning (RL) with heterogeneous agents under severe data scarcity, i.e., we only observe a single historical trajectory for every agent under an…