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D-Index & Metrics

Computer Science

D-Index
70
Citations
91395
World Ranking
1814
National Ranking
918

Overview

Hao Su is a researcher affiliated with the University of California, San Diego in the United States. Their work spans multiple areas within computer science and engineering, focusing mainly on computer vision, computer graphics, and related computational techniques.

Their research contributions include topics such as:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Robot Manipulation and Learning

Main fields of study in Hao Su's research profile include:

  • Computer Science
  • Engineering

Within these broader domains, they have a specialized focus on subfields such as:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Computational Mechanics
  • Mechanical Engineering

Notable recent papers authored or co-authored by Hao Su include:

  • "MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo" (2021) presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction" (2022) presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Visibility-Aware Point-Based Multi-View Stereo Network" (2020) published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "ImageNet Large Scale Visual Recognition Challenge" (2024) posted on arXiv (Cornell University)
  • "OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding" (2023) posted on arXiv (Cornell University)

Hao Su has collaborated frequently with several co-authors, including:

  • Xiaoshuai Zhang
  • Zexiang Xu
  • Yuzhe Qin
  • Leonidas Guibas
  • Fanbo Xiang

The researcher has published numerous works in a variety of venues, with frequent appearances in:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence

Hao Su is also an author of a forthcoming book titled Robotic Intelligent Assembly, to be published by Springer Nature in 2025.

Best Publications

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

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

    R. Qi Charles;Hao Su;Mo Kaichun;Leonidas J. Guibas

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

    Charles Ruizhongtai Qi;Li Yi;Hao Su;Leonidas J. Guibas

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

    Charles R. Qi;Hao Su;Kaichun Mo;Leonidas J. Guibas

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

    Charles R. Qi;Wei Liu;Chenxia Wu;Hao Su

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

    Haoqiang Fan;Hao Su;Leonidas Guibas

  • ShapeNet: An Information-Rich 3D Model Repository

    Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan

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

    Charles R. Qi;Hao Su;Matthias NieBner;Angela Dai

  • A scalable active framework for region annotation in 3D shape collections

    Li Yi;Vladimir G. Kim;Duygu Ceylan;I-Chao Shen

  • Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification

    Li-jia Li;Hao Su;Li Fei-fei;Eric P. Xing

  • Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views

    Hao Su;Charles R. Qi;Yangyan Li;Leonidas J. Guibas

  • MVSNeRF: Fast Generalizable Radiance Field Reconstruction From Multi-View Stereo

    Anpei Chen;Zexiang Xu;Fuqiang Zhao;Xiaoshuai Zhang

  • PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

    Kaichun Mo;Shilin Zhu;Angel X. Chang;Li Yi

  • SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation

    Li Yi;Hao Su;Xingwen Guo;Leonidas Guibas

  • Leveraging elastic instabilities for amplified performance: Spine-inspired high-speed and high-force soft robots

    Yichao Tang;Yichao Tang;Yinding Chi;Jiefeng Sun;Tzu-Hao Huang

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

    Charles R. Qi;Hao Su;Matthias Niessner;Angela Dai

  • SAPIEN: A SimulAted Part-Based Interactive ENvironment

    Fanbo Xiang;Yuzhe Qin;Kaichun Mo;Yikuan Xia

  • Point-Based Multi-View Stereo Network

    Rui Chen;Songfang Han;Jing Xu;Hao Su

  • Learning Shape Abstractions by Assembling Volumetric Primitives

    Shubham Tulsiani;Hao Su;Leonidas J. Guibas;Alexei A. Efros

  • Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness

    Shuo Cheng;Zexiang Xu;Shilin Zhu;Zhuwen Li

  • ObjectNet3D: A Large Scale Database for 3D Object Recognition

    Yu Xiang;Wonhui Kim;Wei Chen;Jingwei Ji

  • Synthesizing Training Images for Boosting Human 3D Pose Estimation

    Wenzheng Chen;Huan Wang;Yangyan Li;Hao Su

  • ImageNet Large Scale Visual Recognition Challenge

    Olga Russakovsky;Jia Deng;Hao Su;Jonathan Krause

Frequent Co-Authors

Leonidas J. Guibas
Leonidas J. Guibas Stanford University
Honggang Cui
Honggang Cui Johns Hopkins University
Stephen Z. D. Cheng
Stephen Z. D. Cheng University of Akron
Li Fei-Fei
Li Fei-Fei Stanford University
Yiwen Li
Yiwen Li Sichuan University
Angel X. Chang
Angel X. Chang Simon Fraser University
Qixing Huang
Qixing Huang The University of Texas at Austin
Dave J. Adams
Dave J. Adams University of Glasgow
Chrys Wesdemiotis
Chrys Wesdemiotis University of Akron
Manolis Savva
Manolis Savva Simon Fraser University

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