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

137 citations · 209 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation

Sirui Xie, Feng Gao, Song-Chun Zhu

In searching for a generalizable representation of temporally extended tasks, we spot two necessary constituents: the utility needs to be non-Markovian to transfer temporal relatio…

cs.AI2020137 cited

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Yixin Zhu, Tao Gao, Lifeng Fan +9

Recent progress in deep learning is essentially based on a "big data for small tasks" paradigm, under which massive amounts of data are used to train a classifier for a single narr…

cs.CV201940 cited

Learning Perceptual Inference by Contrasting

Chi Zhang, Baoxiong Jia, Feng Gao +3

"Thinking in pictures," [1] i.e., spatial-temporal reasoning, effortless and instantaneous for humans, is believed to be a significant ability to perform logical induction and a cr…

cs.HC20191 cited

VRGym: A Virtual Testbed for Physical and Interactive AI

Xu Xie, Hangxin Liu, Zhenliang Zhang +5

We propose VRGym, a virtual reality testbed for realistic human-robot interaction. Different from existing toolkits and virtual reality environments, the VRGym emphasizes on buildi…

cs.CV201931 cited

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Chi Zhang, Feng Gao, Baoxiong Jia +2

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 eno…