Hao Su

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University of California, San Diego ∙ Stanford University

Assistant Professor at University of California San Diego

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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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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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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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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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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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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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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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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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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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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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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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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Frustum PointNets for 3D Object Detection from RGB-D Data

While object recognition on 2D images is getting more and more mature, 3...
11/22/2017 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

We introduce a large-scale 3D shape understanding benchmark using data a...
10/17/2017 ∙ by Li Yi, et al. ∙ 0 ∙ share

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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Few prior works study deep learning on point sets. PointNet by Qi et al....
06/07/2017 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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Learning Non-Lambertian Object Intrinsics across ShapeNet Categories

We consider the non-Lambertian object intrinsic problem of recovering di...
12/27/2016 ∙ by Jian Shi, et al. ∙ 0 ∙ share

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Beyond Holistic Object Recognition: Enriching Image Understanding with Part States

Important high-level vision tasks such as human-object interaction, imag...
12/15/2016 ∙ by Cewu Lu, et al. ∙ 0 ∙ share

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SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

In this paper, we study the problem of semantic annotation on 3D models ...
12/02/2016 ∙ by Li Yi, et al. ∙ 0 ∙ share

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A Point Set Generation Network for 3D Object Reconstruction from a Single Image

Generation of 3D data by deep neural network has been attracting increas...
12/02/2016 ∙ by Haoqiang Fan, et al. ∙ 0 ∙ share

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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Point cloud is an important type of geometric data structure. Due to its...
12/02/2016 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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Learning Shape Abstractions by Assembling Volumetric Primitives

We present a learning framework for abstracting complex shapes by learni...
12/01/2016 ∙ by Shubham Tulsiani, et al. ∙ 0 ∙ share

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Density Estimation via Discrepancy

Given i.i.d samples from some unknown continuous density on hyper-rectan...
09/23/2015 ∙ by Kun Yang, et al. ∙ 0 ∙ share

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FPNN: Field Probing Neural Networks for 3D Data

Building discriminative representations for 3D data has been an importan...
05/20/2016 ∙ by Yangyan Li, et al. ∙ 0 ∙ share

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Volumetric and Multi-View CNNs for Object Classification on 3D Data

3D shape models are becoming widely available and easier to capture, mak...
04/12/2016 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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Synthesizing Training Images for Boosting Human 3D Pose Estimation

Human 3D pose estimation from a single image is a challenging task with ...
04/10/2016 ∙ by Wenzheng Chen, et al. ∙ 0 ∙ share

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Pose Estimation Based on 3D Models

In this paper, we proposed a pose estimation system based on rendered im...
06/20/2015 ∙ by Chuiwen Ma, et al. ∙ 0 ∙ share

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3D-Assisted Image Feature Synthesis for Novel Views of an Object

Comparing two images in a view-invariant way has been a challenging prob...
11/26/2014 ∙ by Hao Su, et al. ∙ 0 ∙ share

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ImageNet Large Scale Visual Recognition Challenge

The ImageNet Large Scale Visual Recognition Challenge is a benchmark in ...
09/01/2014 ∙ by Olga Russakovsky, et al. ∙ 0 ∙ share

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ShapeNet: An Information-Rich 3D Model Repository

We present ShapeNet: a richly-annotated, large-scale repository of shape...
12/09/2015 ∙ by Angel X. Chang, 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 Zhu, et al. ∙ 0 ∙ share

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Learning Hierarchical Shape Segmentation and Labeling from Online Repositories

We propose a method for converting geometric shapes into hierarchically ...
05/04/2017 ∙ by Li Yi, 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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ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling

Assembly-based tools provide a powerful modeling paradigm for non-expert...
08/06/2017 ∙ by Minhyuk Sung, 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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Robust Watertight Manifold Surface Generation Method for ShapeNet Models

In this paper, we describe a robust algorithm for 2-Manifold generation ...
02/05/2018 ∙ by Jingwei Huang, 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Hao Su

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