Hao Su

Orcid: 0000-0002-1796-2682

Affiliations:
  • University of California, San Diego, USA
  • Stanford University, USA (PhD 2018)


According to our database1, Hao Su authored at least 158 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
General-Purpose Sim2Real Protocol for Learning Contact-Rich Manipulation With Marker-Based Visuotactile Sensors.
IEEE Trans. Robotics, 2024

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D.
CoRR, 2024

2023
ActiveZero++: Mixed Domain Learning Stereo and Confidence-Based Depth Completion With Zero Annotation.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Part-Guided 3D RL for Sim2Real Articulated Object Manipulation.
IEEE Robotics Autom. Lett., November, 2023

EasyHeC: Accurate and Automatic Hand-Eye Calibration Via Differentiable Rendering and Space Exploration.
IEEE Robotics Autom. Lett., November, 2023

Dictionary Fields: Learning a Neural Basis Decomposition.
ACM Trans. Graph., August, 2023

Close the Optical Sensing Domain Gap by Physics-Grounded Active Stereo Sensor Simulation.
IEEE Trans. Robotics, June, 2023

DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics.
CoRR, 2023

PartSLIP++: Enhancing Low-Shot 3D Part Segmentation via Multi-View Instance Segmentation and Maximum Likelihood Estimation.
CoRR, 2023

Unleashing the Creative Mind: Language Model As Hierarchical Policy For Improved Exploration on Challenging Problem Solving.
CoRR, 2023

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model.
CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.
CoRR, 2023

On the Efficacy of 3D Point Cloud Reinforcement Learning.
CoRR, 2023

Deductive Verification of Chain-of-Thought Reasoning.
CoRR, 2023

NeuManifold: Neural Watertight Manifold Reconstruction with Efficient and High-Quality Rendering Support.
CoRR, 2023

OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding.
CoRR, 2023

Chain-of-Thought Predictive Control.
CoRR, 2023

Boosting Reinforcement Learning and Planning with Demonstrations: A Survey.
CoRR, 2023

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field.
CoRR, 2023

Factor Fields: A Unified Framework for Neural Fields and Beyond.
CoRR, 2023

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization.
Proceedings of the International Conference on Machine Learning, 2023

Reparameterized Policy Learning for Multimodal Trajectory Optimization.
Proceedings of the International Conference on Machine Learning, 2023

On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline.
Proceedings of the International Conference on Machine Learning, 2023

On the Feasibility of Cross-Task Transfer with Model-Based Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DexDeform: Dexterous Deformable Object Manipulation with Human Demonstrations and Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-skill Mobile Manipulation for Object Rearrangement.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Distilling Large Vision-Language Model with Out-of-Distribution Generalizability.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Strivec: Sparse Tri-Vector Radiance Fields.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TensoIR: Tensorial Inverse Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Real2Sim2Real Method for Robust Object Grasping with Neural Surface Reconstruction.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

2022
Photon-Driven Neural Reconstruction for Path Guiding.
ACM Trans. Graph., 2022

Approximate convex decomposition for 3D meshes with collision-aware concavity and tree search.
ACM Trans. Graph., 2022

SofGAN: A Portrait Image Generator with Dynamic Styling.
ACM Trans. Graph., 2022

A unified newton barrier method for multibody dynamics.
ACM Trans. Graph., 2022

From One Hand to Multiple Hands: Imitation Learning for Dexterous Manipulation From Single-Camera Teleoperation.
IEEE Robotics Autom. Lett., 2022

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation.
IEEE Robotics Autom. Lett., 2022

Provably Efficient Kernelized Q-Learning.
CoRR, 2022

Close the Visual Domain Gap by Physics-Grounded Active Stereovision Depth Sensor Simulation.
CoRR, 2022

Improving Policy Optimization with Generalist-Specialist Learning.
Proceedings of the International Conference on Machine Learning, 2022

Temporal Difference Learning for Model Predictive Control.
Proceedings of the International Conference on Machine Learning, 2022

Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics.
Proceedings of the Tenth International Conference on Learning Representations, 2022

LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

TensoRF: Tensorial Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022, 2022

NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

DexPoint: Generalizable Point Cloud Reinforcement Learning for Sim-to-Real Dexterous Manipulation.
Proceedings of the Conference on Robot Learning, 2022

Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds.
Proceedings of the Conference on Robot Learning, 2022

2021
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples.
ACM Trans. Graph., 2021

Visibility-Aware Point-Based Multi-View Stereo Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

ManiSkill: Learning-from-Demonstrations Benchmark for Generalizable Manipulation Skills.
CoRR, 2021

Single RGB-D Camera Teleoperation for General Robotic Manipulation.
CoRR, 2021

OCRTOC: A Cloud-Based Competition and Benchmark for Robotic Grasping and Manipulation.
CoRR, 2021

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics.
Proceedings of the 9th International Conference on Learning Representations, 2021

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Lipschitz Regularized CycleGAN for Improving Semantic Robustness in Unpaired Image-to-image Translation.
CoRR, 2020

Compositionally Generalizable 3D Structure Prediction.
CoRR, 2020

Rearrangement: A Challenge for Embodied AI.
CoRR, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks.
CoRR, 2020

Photon-Driven Neural Path Guiding.
CoRR, 2020

Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks.
CoRR, 2020

Deep Photon Mapping.
CoRR, 2020

Regret Bounds for Discounted MDPs.
CoRR, 2020

Deep Kernel Density Estimation for Photon Mapping.
Comput. Graph. Forum, 2020

Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-task Batch Reinforcement Learning with Metric Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Keypoint-Based Camera Pose Estimation with Geometric Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Information-Theoretic Local Minima Characterization and Regularization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories.
Proceedings of the 8th International Conference on Learning Representations, 2020

State Alignment-based Imitation Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance.
Proceedings of the Computer Vision - ECCV 2020, 2020

Adversarial Shape Perturbations on 3D Point Clouds.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Weakly-Supervised 3D Shape Completion in the Wild.
Proceedings of the Computer Vision - ECCV 2020, 2020

SAPIEN: A SimulAted Part-Based Interactive ENvironment.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

StructEdit: Learning Structural Shape Variations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Normal Assisted Stereo Depth Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep view synthesis from sparse photometric images.
ACM Trans. Graph., 2019

StructureNet: hierarchical graph networks for 3D shape generation.
ACM Trans. Graph., 2019

Model Imitation for Model-Based Reinforcement Learning.
CoRR, 2019

Pre-training as Batch Meta Reinforcement Learning with tiMe.
CoRR, 2019

Adversarial point perturbations on 3D objects.
CoRR, 2019

How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies?
CoRR, 2019

DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces.
CoRR, 2019

Mapping State Space using Landmarks for Universal Goal Reaching.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Multi-View PointNet for 3D Scene Understanding.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Point-Based Multi-View Stereo Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Adversarial Defense by Stratified Convolutional Sparse Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Deep 3D representation learning.
PhD thesis, 2018

Deep part induction from articulated object pairs.
ACM Trans. Graph., 2018

DeepPrimitive: Image decomposition by layered primitive detection.
Comput. Vis. Media, 2018

Robust Watertight Manifold Surface Generation Method for ShapeNet Models.
CoRR, 2018

Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Frustum PointNets for 3D Object Detection From RGB-D Data.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Beyond Holistic Object Recognition: Enriching Image Understanding With Part States.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning hierarchical shape segmentation and labeling from online repositories.
ACM Trans. Graph., 2017

Complementme: weakly-supervised component suggestions for 3D modeling.
ACM Trans. Graph., 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.
CoRR, 2017

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning Shape Abstractions by Assembling Volumetric Primitives.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Point Set Generation Network for 3D Object Reconstruction from a Single Image.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Cross-Modal Attribute Transfer for Rescaling 3D Models.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
A scalable active framework for region annotation in 3D shape collections.
ACM Trans. Graph., 2016

Unsupervised texture transfer from images to model collections.
ACM Trans. Graph., 2016

3D attention-driven depth acquisition for object identification.
ACM Trans. Graph., 2016

Beyond Holistic Object Recognition: Enriching Image Understanding with Part States.
CoRR, 2016

Synthesizing Training Images for Boosting Human 3D Pose Estimation.
CoRR, 2016

FPNN: Field Probing Neural Networks for 3D Data.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

ObjectNet3D: A Large Scale Database for 3D Object Recognition.
Proceedings of the Computer Vision - ECCV 2016, 2016

Volumetric and Multi-view CNNs for Object Classification on 3D Data.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016


Synthesizing Training Images for Boosting Human 3D Pose Estimation.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
Joint embeddings of shapes and images via CNN image purification.
ACM Trans. Graph., 2015

ImageNet Large Scale Visual Recognition Challenge.
Int. J. Comput. Vis., 2015

ShapeNet: An Information-Rich 3D Model Repository.
CoRR, 2015

Probabilistic modeling of scenes using object frames.
Sci. China Inf. Sci., 2015

3D-Assisted Feature Synthesis for Novel Views of an Object.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
Estimating image depth using shape collections.
ACM Trans. Graph., 2014

Reverse Top-k Search using Random Walk with Restart.
Proc. VLDB Endow., 2014

Object Bank: An Object-Level Image Representation for High-Level Visual Recognition.
Int. J. Comput. Vis., 2014

3D-Assisted Image Feature Synthesis for Novel Views of an Object.
CoRR, 2014

2013
Fine-grained semi-supervised labeling of large shape collections.
ACM Trans. Graph., 2013

Pathlet learning for compressing and planning trajectories.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

2012
Efficient Euclidean Projections onto the Intersection of Norm Balls.
Proceedings of the 29th International Conference on Machine Learning, 2012

Crowdsourcing Annotations for Visual Object Detection.
Proceedings of the 4th Human Computation Workshop, 2012

Multi-Level Structured Image Coding on High-Dimensional Image Representation.
Proceedings of the Computer Vision, 2012

2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Objects as Attributes for Scene Classification.
Proceedings of the Trends and Topics in Computer Vision, 2010

2009
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A multi-view probabilistic model for 3D object classes.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009


  Loading...