CVPR

[CVPR19] RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Dramatic progress has been witnessed in basic vision tasks involving low-level perception, such as object recognition, detection, and tracking. Unfortunately, there is still an enormous performance gap between artificial vision systems and human …

[CVPR18] Human-centric Indoor Scene Synthesis Using Stochastic Grammar

We present a human-centric method to sample and synthesize 3D room layouts and 2D images thereof, for the purpose of obtaining large-scale 2D/3D image data with the perfect per-pixel ground truth. An attributed spatial And-Or graph (S-AOG) is …

[CVPR16] Inferring Forces and Learning Human Utilities From Videos

We propose a notion of affordance that takes into account physical quantities generated when the human body interacts with real-world objects, and introduce a learning framework that incorporates the concept of human utilities, which in our opinion …

[CVPR15] Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition

In this paper, we present a new framework for task-oriented object modeling, learning and recognition. The framework include: i) spatial decomposition of the object and 3D relations with the imagine human pose; ii) temporal pose sequence of human …