Chao Qu

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University of Pennsylvania

Bayesian Deep Basis Fitting for Depth Completion with Uncertainty

In this work we investigate the problem of uncertainty estimation for im...
03/29/2021 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Model Embedding Model-Based Reinforcement Learning

Model-based reinforcement learning (MBRL) has shown its advantages in sa...
06/16/2020 ∙ by Xiaoyu Tan, et al. ∙ 0 ∙ share

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Intention Propagation for Multi-agent Reinforcement Learning

A hallmark of an AI agent is to mimic human beings to understand and int...
04/19/2020 ∙ by Chao Qu, et al. ∙ 11 ∙ share

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SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

This paper describes an end-to-end pipeline for tree diameter estimation...
12/29/2019 ∙ by Steven W. Chen, et al. ∙ 22 ∙ share

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Depth Completion via Deep Basis Fitting

In this paper we consider the task of image-guided depth completion wher...
12/21/2019 ∙ by Chao Qu, et al. ∙ 11 ∙ share

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Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

We consider the networked multi-agent reinforcement learning (MARL) prob...
01/27/2019 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Projection-Free Algorithms in Statistical Estimation

Frank-Wolfe algorithm (FW) and its variants have gained a surge of inter...
05/20/2018 ∙ by Yan Li, et al. ∙ 0 ∙ share

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Communication-Efficient Projection-Free Algorithm for Distributed Optimization

Distributed optimization has gained a surge of interest in recent years....
05/20/2018 ∙ by Yan Li, et al. ∙ 0 ∙ share

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Nonlinear Distributional Gradient Temporal-Difference Learning

We devise a distributional variant of gradient temporal-difference (TD) ...
05/20/2018 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

We present a novel fruit counting pipeline that combines deep segmentati...
04/01/2018 ∙ by Xu Liu, et al. ∙ 0 ∙ share

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Fast Global Convergence via Landscape of Empirical Loss

While optimizing convex objective (loss) functions has been a powerhouse...
02/13/2018 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

One of the most challenging tasks for a flying robot is to autonomously ...
12/06/2017 ∙ by Kartik Mohta, et al. ∙ 0 ∙ share

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SAGA and Restricted Strong Convexity

SAGA is a fast incremental gradient method on the finite sum problem and...
02/19/2017 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Linear convergence of SDCA in statistical estimation

In this paper, we consider stochastic dual coordinate (SDCA) without st...
01/26/2017 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Linear Convergence of SVRG in Statistical Estimation

SVRG and its variants are among the state of art optimization algorithms...
11/07/2016 ∙ by Chao Qu, et al. ∙ 0 ∙ share

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Dynamic Facial Expression of Emotion Made Easy

Facial emotion expression for virtual characters is used in a wide varie...
11/19/2012 ∙ by Joost Broekens, et al. ∙ 0 ∙ share

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Chao Qu

Featured Co-authors

Shie Mannor

Chang Liu

Hui Li

Le Song

Davide Scaramuzza

Vijay Kumar

Yan Li

Kostas Daniilidis

Ke Sun

Huan Xu

Yuan Qi

Bayesian Deep Basis Fitting for Depth Completion with Uncertainty

Model Embedding Model-Based Reinforcement Learning

Intention Propagation for Multi-agent Reinforcement Learning

SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory

Depth Completion via Deep Basis Fitting

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning

Projection-Free Algorithms in Statistical Estimation

Communication-Efficient Projection-Free Algorithm for Distributed Optimization

Nonlinear Distributional Gradient Temporal-Difference Learning

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

Fast Global Convergence via Landscape of Empirical Loss

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

SAGA and Restricted Strong Convexity

Linear convergence of SDCA in statistical estimation

Linear Convergence of SVRG in Statistical Estimation

Dynamic Facial Expression of Emotion Made Easy