17 citations · 17 across the 4 of their papers we have counts for
5 papers
LiteReality-Agent: An Agentic System for Interactable 3D Indoor Scene Reconstruction
Zhening Huang, Yueyan Li, Johnathan Chiu +5
We present LiteReality-Agent, an agentic system for reconstructing real indoor environments as realistic, articulated, and simulation-ready 3D scenes from RGB-D scans. At its core,…
Variable Length Embeddings
Johnathan Chiu, Andi Gu, Matt Zhou
In this work, we introduce a novel deep learning architecture, Variable Length Embeddings (VLEs), an autoregressive model that can produce a latent representation composed of an ar…
Structure and Content-Guided Video Synthesis with Diffusion Models
Patrick Esser, Johnathan Chiu, Parmida Atighehchian +2
Text-guided generative diffusion models unlock powerful image creation and editing tools. While these have been extended to video generation, current approaches that edit the conte…
Designing a Recurrent Neural Network to Learn a Motion Planner for High-Dimensional Inputs
Johnathan Chiu
The use of machine learning in the self-driving industry has boosted a number of recent advancements. In particular, the usage of large deep learning models in the perception and p…
Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI
Daniel J. Fremont, Johnathan Chiu, Dragos D. Margineantu +2
We demonstrate a unified approach to rigorous design of safety-critical autonomous systems using the VerifAI toolkit for formal analysis of AI-based systems. VerifAI provides an in…