activity
20172023
most citedDark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

137 citations · 418 across the 29 of their papers we have counts for

collaborators

29 papers

cs.RO2023

Part-level Scene Reconstruction Affords Robot Interaction

Zeyu Zhang, Lexing Zhang, Zaijin Wang +5

Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved from a limited database, resulting in significan…

cs.RO2023★ 1 cited

Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators

Yao Su, Jiarui Li, Ziyuan Jiao +5

We investigate the sequential manipulation planning problem for unmanned aerial manipulators (UAMs). Unlike prior work that primarily focuses on one-step manipulation tasks, sequen…

cs.CV2023★ 2 cited

STRAP: Structured Object Affordance Segmentation with Point Supervision

Leiyao Cui, Xiaoxue Chen, Hao Zhao +2

With significant annotation savings, point supervision has been proven effective for numerous 2D and 3D scene understanding problems. This success is primarily attributed to the st…

cs.RO2023

Rearrange Indoor Scenes for Human-Robot Co-Activity

Weiqi Wang, Zihang Zhao, Ziyuan Jiao +3

We present an optimization-based framework for rearranging indoor furniture to accommodate human-robot co-activities better. The rearrangement aims to afford sufficient accessible…

cs.CV2023★ 6 cited

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

Siyuan Huang, Zan Wang, Puhao Li +5

We introduce SceneDiffuser, a conditional generative model for 3D scene understanding. SceneDiffuser provides a unified model for solving scene-conditioned generation, optimization…

cs.CV2022

Full-Body Articulated Human-Object Interaction

Nan Jiang, Tengyu Liu, Zhexuan Cao +6

Fine-grained capturing of 3D HOI boosts human activity understanding and facilitates downstream visual tasks, including action recognition, holistic scene reconstruction, and human…

cs.CV2022★ 23 cited

HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes

Zan Wang, Yixin Chen, Tengyu Liu +3

Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre characteristics of the existing datasets on Human-Scen…

cs.RO2022

Downwash-aware Control Allocation for Over-actuated UAV Platforms

Yao Su, Chi Chu, Meng Wang +4

Tracking position and orientation independently affords more agile maneuver for over-actuated multirotor Unmanned Aerial Vehicles (UAVs) while introducing undesired downwash effect…

cs.RO2022

Sequential Manipulation Planning on Scene Graph

Ziyuan Jiao, Yida Niu, Zeyu Zhang +3

We devise a 3D scene graph representation, contact graph+ (cg+), for efficient sequential task planning. Augmented with predicate-like attributes, this contact graph-based represen…

cs.RO2022

Understanding Physical Effects for Effective Tool-use

Zeyu Zhang, Ziyuan Jiao, Weiqi Wang +3

We present a robot learning and planning framework that produces an effective tool-use strategy with the least joint efforts, capable of handling objects different from training. L…

cs.RO2022★ 12 cited

Object Gathering with a Tethered Robot Duo

Yao Su, Yuhong Jiang, Yixin Zhu +1

We devise a cooperative planning framework to generate optimal trajectories for a tethered robot duo, who is tasked to gather scattered objects spread in a large area using a flexi…

cs.LG2021★ 8 cited

HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving

Sirui Xie, Xiaojian Ma, Peiyu Yu +3

Humans learn compositional and causal abstraction, \ie, knowledge, in response to the structure of naturalistic tasks. When presented with a problem-solving task involving some obj…

cs.CV2020★ 1 cited

LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities

Baoxiong Jia, Yixin Chen, Siyuan Huang +2

Understanding and interpreting human actions is a long-standing challenge and a critical indicator of perception in artificial intelligence. However, a few imperative components of…

cs.RO2020★ 2 cited

Human-Robot Interaction in a Shared Augmented Reality Workspace

Shuwen Qiu, Hangxin Liu, Zeyu Zhang +2

We design and develop a new shared Augmented Reality (AR) workspace for Human-Robot Interaction (HRI), which establishes a bi-directional communication between human agents and rob…

cs.CV2020★ 1 cited

Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs

Tao Yuan, Hangxin Liu, Lifeng Fan +4

Aiming to understand how human (false-)belief--a core socio-cognitive ability--would affect human interactions with robots, this paper proposes to adopt a graphical model to unify…

cs.HC2020

Congestion-aware Evacuation Routing using Augmented Reality Devices

Zeyu Zhang, Hangxin Liu, Ziyuan Jiao +2

We present a congestion-aware routing solution for indoor evacuation, which produces real-time individual-customized evacuation routes among multiple destinations while keeping tra…

cs.AI2020

Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning

Wenhe Zhang, Chi Zhang, Yixin Zhu +1

As a comprehensive indicator of mathematical thinking and intelligence, the number sense (Dehaene 2011) bridges the induction of symbolic concepts and the competence of problem-sol…

cs.AI2020★ 137 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.CV2019★ 18 cited

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points

Siyuan Huang, Yixin Chen, Tao Yuan +3

Detecting 3D objects from a single RGB image is intrinsically ambiguous, thus requiring appropriate prior knowledge and intermediate representations as constraints to reduce the un…

cs.CV2019★ 40 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.LG2019★ 4 cited

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning

Mark Edmonds, Xiaojian Ma, Siyuan Qi +3

Learning transferable knowledge across similar but different settings is a fundamental component of generalized intelligence. In this paper, we approach the transfer learning chall…

cs.CV2019★ 17 cited

Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense

Yixin Chen, Siyuan Huang, Tao Yuan +3

We propose a new 3D holistic++ scene understanding problem, which jointly tackles two tasks from a single-view image: (i) holistic scene parsing and reconstruction---3D estimations…

cs.HC2019★ 1 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.CV2019★ 31 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…