Hao Su

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University of California, San Diego ∙ Stanford University

Assistant Professor at University of California San Diego

Design and Actuator Optimization of Lightweight and Compliant Knee Exoskeleton for Mobility Assistance of Children with Crouch Gait

Pediatric exoskeletons offer great promise to increase mobility for chil...
01/01/2021 ∙ by Sainan Zhang, et al. ∙ 0 ∙ share

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Medical Robots for Infectious Diseases: Lessons and Challenges from the COVID-19 Pandemic

Medical robots can play an important role in mitigating the spread of in...
12/14/2020 ∙ by Antonio Di Lallo, et al. ∙ 0 ∙ share

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Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation

For unpaired image-to-image translation tasks, GAN-based approaches are ...
12/09/2020 ∙ by Zhiwei Jia, et al. ∙ 0 ∙ share

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Compositionally Generalizable 3D Structure Prediction

Single-image 3D shape reconstruction is an important and long-standing p...
12/04/2020 ∙ by Songfang Han, et al. ∙ 11 ∙ share

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An End-to-end Method for Producing Scanning-robust Stylized QR Codes

Quick Response (QR) code is one of the most worldwide used two-dimension...
11/16/2020 ∙ by Hao Su, et al. ∙ 32 ∙ share

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Rearrangement: A Challenge for Embodied AI

We describe a framework for research and evaluation in Embodied AI. Our ...
11/03/2020 ∙ by Dhruv Batra, et al. ∙ 2 ∙ share

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Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals

We study how to learn a policy with compositional generalizability. We p...
10/26/2020 ∙ by Tongzhou Mu, et al. ∙ 0 ∙ share

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Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks

Current graph neural networks (GNNs) lack generalizability with respect ...
10/26/2020 ∙ by Hao Tang, et al. ∙ 0 ∙ share

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Photon-Driven Neural Path Guiding

Although Monte Carlo path tracing is a simple and effective algorithm to...
10/05/2020 ∙ by Shilin Zhu, et al. ∙ 0 ∙ share

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Weakly-supervised 3D Shape Completion in the Wild

3D shape completion for real data is important but challenging, since pa...
08/20/2020 ∙ by Jiayuan Gu, et al. ∙ 11 ∙ share

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Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints

Estimating relative camera poses from consecutive frames is a fundamenta...
07/29/2020 ∙ by You-Yi Jau, et al. ∙ 1 ∙ share

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Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images

This letter proposes a novel Balance Scene Learning Mechanism (BSLM) for...
07/21/2020 ∙ by Tianwen Zhang, et al. ∙ 0 ∙ share

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Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance

We are interested in reconstructing the mesh representation of object su...
07/17/2020 ∙ by Minghua Liu, et al. ∙ 0 ∙ share

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Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks

In this paper, we examine the long-neglected yet important effects of po...
06/12/2020 ∙ by He Wang, et al. ∙ 10 ∙ share

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Deep Photon Mapping

Recently, deep learning-based denoising approaches have led to dramatic ...
04/25/2020 ∙ by Shilin Zhu, et al. ∙ 0 ∙ share

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Unpaired Photo-to-manga Translation Based on The Methodology of Manga Drawing

Manga is a world popular comic form originated in Japan, which typically...
04/22/2020 ∙ by Hao Su, et al. ∙ 0 ∙ share

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Quasi-Direct Drive Actuation for a Lightweight Hip Exoskeleton with High Backdrivability and High Bandwidth

High-performance actuators are crucial to enable mechanical versatility ...
04/01/2020 ∙ by Shuangyue Yu, et al. ∙ 0 ∙ share

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SAPIEN: A SimulAted Part-based Interactive ENvironment

Building home assistant robots has long been a pursuit for vision and ro...
03/19/2020 ∙ by Fanbo Xiang, et al. ∙ 7 ∙ share

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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories

We address the problem of discovering 3D parts for objects in unseen cat...
02/16/2020 ∙ by Tiange Luo, et al. ∙ 11 ∙ share

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Regret Bounds for Discounted MDPs

Recently, it has been shown that carefully designed reinforcement learni...
02/12/2020 ∙ by Shuang Liu, et al. ∙ 0 ∙ share

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Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness

We present Uncertainty-aware Cascaded Stereo Network (UCS-Net) for 3D re...
11/27/2019 ∙ by Shuo Cheng, et al. ∙ 27 ∙ share

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StructEdit: Learning Structural Shape Variations

Learning to encode differences in the geometry and (topological) structu...
11/25/2019 ∙ by Kaichun Mo, et al. ∙ 11 ∙ share

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Normal Assisted Stereo Depth Estimation

Accurate stereo depth estimation plays a critical role in various 3D tas...
11/24/2019 ∙ by Uday Kusupati, et al. ∙ 15 ∙ share

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State Alignment-based Imitation Learning

Consider an imitation learning problem that the imitator and the expert ...
11/21/2019 ∙ by Fangchen Liu, et al. ∙ 0 ∙ share

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Information-Theoretic Local Minima Characterization and Regularization

Recent advances in deep learning theory have evoked the study of general...
11/19/2019 ∙ by Zhiwei Jia, et al. ∙ 0 ∙ share

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S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes

Grasping is among the most fundamental and long-lasting problems in robo...
10/31/2019 ∙ by Yuzhe Qin, et al. ∙ 0 ∙ share

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Multi-view PointNet for 3D Scene Understanding

Fusion of 2D images and 3D point clouds is important because information...
09/30/2019 ∙ by Maximilian Jaritz, et al. ∙ 0 ∙ share

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Model Imitation for Model-Based Reinforcement Learning

Model-based reinforcement learning (MBRL) aims to learn a dynamic model ...
09/25/2019 ∙ by Yueh-Hua Wu, et al. ∙ 9 ∙ share

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Pre-training as Batch Meta Reinforcement Learning with tiMe

Pre-training is transformative in supervised learning: a large network t...
09/25/2019 ∙ by Quan Vuong, et al. ∙ 0 ∙ share

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Adversarial point perturbations on 3D objects

The importance of training robust neural network grows as 3D data is inc...
08/16/2019 ∙ by Daniel Liu, et al. ∙ 0 ∙ share

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Mapping State Space using Landmarks for Universal Goal Reaching

An agent that has well understood the environment should be able to appl...
08/15/2019 ∙ by Zhiao Huang, et al. ∙ 2 ∙ share

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Point-Based Multi-View Stereo Network

We introduce Point-MVSNet, a novel point-based deep framework for multi-...
08/12/2019 ∙ by Rui Chen, et al. ∙ 0 ∙ share

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StructureNet: Hierarchical Graph Networks for 3D Shape Generation

The ability to generate novel, diverse, and realistic 3D shapes along wi...
08/01/2019 ∙ by Kaichun Mo, et al. ∙ 5 ∙ share

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Spine-Inspired Continuum Soft Exoskeleton for Stoop Lifting Assistance

Back injuries are the most prevalent work-related musculoskeletal disord...
07/04/2019 ∙ by Xiaolong Yang, et al. ∙ 0 ∙ share

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How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?

Recently, reinforcement learning (RL) algorithms have demonstrated remar...
03/28/2019 ∙ by Quan Vuong, et al. ∙ 12 ∙ share

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A Soft High Force Hand Exoskeleton for Rehabilitation and Assistance of Spinal Cord Injury and Stroke Individuals

Individuals with spinal cord injury (SCI) and stroke who is lack of mani...
02/19/2019 ∙ by Shuangyue Yu, et al. ∙ 0 ∙ share

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Design and Control of a Quasi-Direct Drive Soft Hybrid Knee Exoskeleton for Injury Prevention during Squatting

This paper presents a new design approach of wearable robots that tackle...
02/19/2019 ∙ by Shuangyue Yu, et al. ∙ 0 ∙ share

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Comfort-Centered Design of a Lightweight and Backdrivable Knee Exoskeleton

This paper presents design principles for comfort-centered wearable robo...
02/11/2019 ∙ by Junlin Wang, et al. ∙ 0 ∙ share

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DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces

Reconstruction of geometry based on different input modes, such as image...
01/12/2019 ∙ by Jun Gao, et al. ∙ 12 ∙ share

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Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers

3D object classification and segmentation using deep neural networks has...
01/10/2019 ∙ by Daniel Liu, et al. ∙ 0 ∙ share

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A Main/Subsidiary Network Framework for Simplifying Binary Neural Network

To reduce memory footprint and run-time latency, techniques such as neur...
12/11/2018 ∙ by Yinghao Xu, et al. ∙ 0 ∙ share

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PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

We present PartNet: a consistent, large-scale dataset of 3D objects anno...
12/06/2018 ∙ by Kaichun Mo, et al. ∙ 8 ∙ share

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Adversarial Defense by Stratified Convolutional Sparse Coding

We propose an adversarial defense method that achieves state-of-the-art ...
11/30/2018 ∙ by Bo Sun, et al. ∙ 0 ∙ share

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ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving

Autonomous driving has attracted remarkable attention from both industry...
11/29/2018 ∙ by Xibin Song, et al. ∙ 6 ∙ share

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Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA

Binarized Neural Network (BNN) removes bitwidth redundancy in classical ...
10/04/2018 ∙ by Cheng Fu, et al. ∙ 0 ∙ share

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Deep Part Induction from Articulated Object Pairs

Object functionality is often expressed through part articulation -- as ...
09/19/2018 ∙ by Li Yi, et al. ∙ 0 ∙ share

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Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

Binary neural networks (BNN) have been studied extensively since they ru...
06/20/2018 ∙ by Shilin Zhu, et al. ∙ 0 ∙ share

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Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions

Various 3D semantic attributes such as segmentation masks, geometric fea...
05/25/2018 ∙ by Minhyuk Sung, et al. ∙ 0 ∙ share

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View Extrapolation of Human Body from a Single Image

We study how to synthesize novel views of human body from a single image...
04/11/2018 ∙ by Hao Su, et al. ∙ 0 ∙ share

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Stylize Aesthetic QR Code

With the continued proliferation of smart mobile devices, Quick Response...
03/03/2018 ∙ by Mingliang Xu, et al. ∙ 0 ∙ share

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Hao Su

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