Danfei Xu | DeepAI

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130 publications
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∙ 06/15/2023

Evolutionary Curriculum Training for DRL-Based Navigation Systems

In recent years, Deep Reinforcement Learning (DRL) has emerged as a prom...

8 Max Asselmeier, et al. ∙

∙ 06/10/2023

Language-Guided Traffic Simulation via Scene-Level Diffusion

Realistic and controllable traffic simulation is a core capability that ...

9 Ziyuan Zhong, et al. ∙

∙ 03/10/2023

Zero-Shot Object Searching Using Large-scale Object Relationship Prior

Home-assistant robots have been a long-standing research topic, and one ...

0 Hongyi Chen, et al. ∙

∙ 10/31/2022

Guided Conditional Diffusion for Controllable Traffic Simulation

Controllable and realistic traffic simulation is critical for developing...

5 Ziyuan Zhong, et al. ∙

∙ 10/23/2022

Guided Skill Learning and Abstraction for Long-Horizon Manipulation

To assist with everyday human activities, robots must solve complex long...

1 Shuo Cheng, et al. ∙

∙ 09/22/2022

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Task planning can require defining myriad domain knowledge about the wor...

1 Ishika Singh, et al. ∙

∙ 09/19/2022

AdvDO: Realistic Adversarial Attacks for Trajectory Prediction

Trajectory prediction is essential for autonomous vehicles (AVs) to plan...

27 Yulong Cao, et al. ∙

∙ 08/26/2022

BITS: Bi-level Imitation for Traffic Simulation

Simulation is the key to scaling up validation and verification for robo...

2 Danfei Xu, et al. ∙

∙ 07/29/2022

Robust Trajectory Prediction against Adversarial Attacks

Trajectory prediction using deep neural networks (DNNs) is an essential ...

12 Yulong Cao, et al. ∙

∙ 12/12/2020

Human-in-the-Loop Imitation Learning using Remote Teleoperation

Imitation Learning is a promising paradigm for learning complex robot ma...

15 Ajay Mandlekar, et al. ∙

∙ 11/17/2020

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

Planning in realistic environments requires searching in large planning ...

0 Danfei Xu, et al. ∙

∙ 03/13/2020

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Imitation learning is an effective and safe technique to train robot pol...

3 Ajay Mandlekar, et al. ∙

∙ 11/01/2019

Positive-Unlabeled Reward Learning

Learning reward functions from data is a promising path towards achievin...

5 Danfei Xu, et al. ∙

∙ 09/28/2019

Regression Planning Networks

Recent learning-to-plan methods have shown promising results on planning...

87 Danfei Xu, et al. ∙

∙ 08/24/2019

Situational Fusion of Visual Representation for Visual Navigation

A complex visual navigation task puts an agent in different situations w...

12 William B. Shen, et al. ∙

∙ 08/16/2019

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning

We address one-shot imitation learning, where the goal is to execute a p...

3 De-An Huang, et al. ∙

∙ 07/02/2019

Procedure Planning in Instructional Videos

We propose a new challenging task: procedure planning in instructional v...

0 Chien-Yi Chang, et al. ∙

∙ 01/15/2019

DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

A key technical challenge in performing 6D object pose estimation from R...

10 Chen Wang, et al. ∙

∙ 07/10/2018

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

Our goal is for a robot to execute a previously unseen task based on a s...

2 De-An Huang, et al. ∙

∙ 11/29/2017

PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation

We present PointFusion, a generic 3D object detection method that levera...

0 Danfei Xu, et al. ∙

∙ 10/04/2017

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks

In this work, we propose a novel robot learning framework called Neural ...

0 Danfei Xu, et al. ∙

∙ 01/10/2017

Scene Graph Generation by Iterative Message Passing

Understanding a visual scene goes beyond recognizing individual objects ...

0 Danfei Xu, et al. ∙

∙ 07/15/2016

Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects

Robotic manipulation of deformable objects is a difficult problem especi...

0 Yinxiao Li, et al. ∙

∙ 04/02/2016

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Inspired by the recent success of methods that employ shape priors to ac...

0 Christopher B. Choy, et al. ∙

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