activity
20172025
most citedDark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

137 citations · 410 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 7 cited

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

Siyuan Huang, Siyuan Qi, Yinxue Xiao +3

Holistic 3D indoor scene understanding refers to jointly recovering the i) object bounding boxes, ii) room layout, and iii) camera pose, all in 3D. The existing methods either are…

cs.CV2018★ 12 cited

Human-centric Indoor Scene Synthesis Using Stochastic Grammar

Siyuan Qi, Yixin Zhu, Siyuan Huang +2

We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, to obtain large-scale 2D/3D image data with perfect per-pixel ground truth. An att…

cs.CV2018★ 57 cited

Learning Human-Object Interactions by Graph Parsing Neural Networks

Siyuan Qi, Wenguan Wang, Baoxiong Jia +2

This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images and videos. We introduce the Graph Parsing Neural Network (GPNN), a framework t…

cs.CV2018★ 10 cited

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image

Siyuan Huang, Siyuan Qi, Yixin Zhu +3

We propose a computational framework to jointly parse a single RGB image and reconstruct a holistic 3D configuration composed by a set of CAD models using a stochastic grammar mode…

stat.ML2018★ 4 cited

Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction

Siyuan Qi, Baoxiong Jia, Song-Chun Zhu

Future predictions on sequence data (e.g., videos or audios) require the algorithms to capture non-Markovian and compositional properties of high-level semantics. Context-free gram…

cs.AI2018★ 3 cited

Intent-aware Multi-agent Reinforcement Learning

Siyuan Qi, Song-Chun Zhu

This paper proposes an intent-aware multi-agent planning framework as well as a learning algorithm. Under this framework, an agent plans in the goal space to maximize the expected…