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Guangcong Wang 王广聪

Assistant Professor
School of Computing and Information Technology
Great Bay University
Email: wanggc3 at gmail.com
Address: 19/F Building A5, Songshanhu international community, Dongguan, Guangdong, China


Short Bio

Guangcong Wang is an Assistant Professor of Computing and Information Technology at Great Bay University. From April 2021 to April 2024, he was a postdoctral research fellow in MMLab@NTU at Nanyang Technological University, working with Prof. Ziwei Liu and Prof. Chen Change (Cavan) Loy. In December 2020, he received a PhD degree in the School of Computer Science at Sun Yat-set University, supervised by Prof. Jianhuang Lai and also co-supervised by Prof. Xiaohua Xie.

He is leading Vision, Graphics, and X Group (VGX) at Great Bay Univeristy.

His research interests include 3D vision and AI4Science. He has published some papers, such as TPAMI, TOG, TNNLS, TIP, TCSVT, ICCV, CVPR, ECCV, NeurIPS, KDD, and AAAI.

He served as an Area Chair of BMVC 2024. He als served as a reviewer of TPAMI, IJCV, SIGGRAPH, ICML, NeurIPS, ICCV, CVPR, ECCV, ICLR, AAAI, ACM MM TIP, TCSVT, etc.

He was awarded Excellent Doctoral Dissertation Award of China Education Society of Electronics.

He was awarded Outstanding Reviewer of ICCV 2023.

He is also a member of The Great AI Lab. Looking for self-motivated postdocs, PhDs, Masters, RAs, visiting students, and interns. Please drop me an email if interested. Link.

Goals

He has two long-term goals in this life. One is to build a plausible 3D virtual world system with machine learning methods, called Open 3D Virtual Reality (Open3DVR). The other is to build a biotechnologial system with machine learning methods to solve biotechnologial problems in the future, called Open Biotechnology and Machine Learning (OpenBiotechML).

Open3DVR and OpenBiotechML are non-profit open research platforms, which focus on advancing technologies and benefit humanity.

Life is short. He will spend 30 years to develop related technologies to achieve these two goals.

“For every yes, there are a thousand no's”

“A PATH IN THE ORDINARY”

   

News

[2024-05] MVSGaussian is released. MVSGaussian is a Gaussian-based method designed for efficient reconstruction of unseen scenes. It offers high-quality initialization for fast training and real-time rendering.

[2024-05] Area Chair of the British Machine Vision Conference (BMVC) 2024.

[2024-04] I joined Great Bay University as an Assistant Professor. Looking for self-motivated postdocs, PhDs, Masters, RAs, visiting students, and interns. Please drop me an email if interested. Link.

[2024-04] PERF (TPAMI'24) is a 360-degree novel view synthesis method that trains a panoramic neural radiance field from a single panorama. PPERF can be applied to many applications, such as Panorama-to-3D, Text-to-3D, and Instruct 3D Stylization. Welcome to use our code.

[2023-12] PrimDiffusion (NeurIPS'23) is released. Welcome to use our code for 3D human generation.

[2023-09] Very happy to be recognized as an Outstanding Reviewer of ICCV 2023.

[2023-09] SceneDreamer (TPAMI'23) is released , welcome to use our code.

[2023-07] SparseNeRF (ICCV'23) is released. Code is released at this link. Welcome to use our code. SparseNeRF aims at 3D reconstruction, synthesizing novel views given a few images.

[2023-04] Program Chair of Pre-CVPR@NTU.

[2023-04] Code of SceneDreamer is released. Welcome to create your 3D world at Huggingface.

[2022-08] Text2Light (TOG 2022 Proc. SIGGRAPH Asia'22, journal-track) is released. Welcome to make your high-quality HDR panoramas with texts at Colab.

[2022-07] StyleLight (ECCV'22) and Fast-Vid2Vid (ECCV'22). Welcome to use StyleLight to generate HDR panoramas given an LDR FOV image and use Fast-Vid2Vid to compress video-to-video GAN for translation.

[2021-07] Efficient Self-supervised Learning (ICCV'23, oral) is released. Welcome to use our code.

[2021-06] Unsupervised Cross-modality Learning (TIP'21), the first work for unsupervised cross-modality person re-identification

[2021-04] I joined MMLab@NTU.

[2021-03] Architecture Adaptation (TNNLS'21) and Adaptive VSO (ICME, oral).

[2020-12] I have received my PhD degree (CS) from Sun Yat-set University (Excellent Doctoral Dissertation Award of China Education Society of Electronics and Excellent Doctoral Dissertation of SYSU).

[2020-12] Media Coverage: A large-scale person re-identification dataset named SYSU-30k is released, link. The dataset contains lots of persons, which might be used for person-centric tasks. Welcome to use our dataset.

Academic Services

Program Chair of Pre-CVPR@NTU

Area Chair of the British Machine Vision Conference (BMVC) 2024

Conferences (Reviewer)

  • SIGGRAPH
  • SIGGRAPH Asia
  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • Neural Information Processing Systems (NeurIPS)
  • International Conference on Computer Vision (ICCV) (Outstanding Reviewer)
  • Computer Vision and Pattern Recognition (CVPR)
  • European Conference on Computer Vision (ECCV)
  • Association for the Advancement of Artificial Intelligence (AAAI)
  • Others: ACM MM, ICPR, ACCV
  • Journals (Reviewer)

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Visualization and Computer Graphics (TVCG)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Others: TOMM, Neurocomputing, SPL, etc
  • Selected Publications

    * denotes equal contribution

    MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
    Tianqi Liu, Guangcong Wang, Shoukang Hu, Liao Shen, Xinyi Ye, Yuhang Zang, Zhiguo Cao, Wei Li, Ziwei Liu, Arxiv, 2024
    PDF Project Page Code Demo




    PERF: Panoramic Neural Radiance Field from a Single Panorama
    Guangcong Wang*, Peng Wang*, Zhaoxi Chen, Wenping Wang, Chen Change Loy, Ziwei Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024
    PDF Project Page Code Demo




    PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation
    Zhaoxi Chen, Fangzhou Hong, Haiyi Mei, Guangcong Wang, Lei Yang, Ziwei Liu
    Neural Information Processing Systems (NeurIPS), 2023
    PDF Project Page Code Demo




    SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
    Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu.
    International Conference on Computer Vision (ICCV), 2023
    PDF Project Page Code Demo




    SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections
    Zhaoxi Chen, Guangcong Wang, Ziwei Liu.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
    PDF Project Page Code Demo




    Text2Light: Zero-Shot Text-Driven HDR Panorama Generation

    Zhaoxi Chen, Guangcong Wang, Ziwei Liu.
    ACM Transactions on Graphics (SIGGRAPH Asia), 2022

    PDF Project Page Code Demo




    StyleLight: HDR Panorama Generation for Lighting Estimation and Editing

    Guangcong Wang, Yinuo Yang, Chen Change Loy, Ziwei Liu.
    European Conference on Computer Vision (ECCV), 2022

    PDF Project Page Code Demo




    Fast-Vid2Vid: Spatial-Temporal Compression for Video-to-Video Synthesis

    Long Zhuo, Guangcong Wang, Shikai Li, Wayne Wu, Ziwei Liu.
    European Conference on Computer Vision (ECCV), 2022

    PDF Project Page Code Demo




    Solving Inefficiency of Self-supervised Representation Learning

    Guangrun Wang, Keze Wang, Guangcong Wang, Philip Torr, Liang Lin.
    International Conference on Computer Vision (ICCV), 2021

    PDF Code arXiv




    Homogeneous-to-Heterogeneous: Unsupervised Learning for RGB-Infrared Person Re-Identification

    Wenqi Liang, Guangcong Wang, Jianhuang Lai, Xiaohua Xie.
    IEEE Transactions on Image Processing (TIP), 2021

    PDF




    Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition

    Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021

    PDF




    Confidence-Guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection

    Peijia Chen, Jianhuang Lai, Guangcong Wang, Huajun Zhou.
    IEEE International Conference on Multimedia and Expo (ICME), 2021 (oral)

    PDF




    Smoothing Adversarial Domain Attack and p-Memory Reconsolidation for Cross-Domain Person Re-Identification

    Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang.
    Computer Vision and Pattern Recognition Conference (CVPR) , 2020

    PDF




    Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark

    Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020

    PDF Dataset, Code, Pretrained model




    Grammatically Recognizing Images with Tree Convolution

    Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin.
    ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), 2020

    PDF Code




    Spatial-Temporal Person Re-identification

    Guangcong Wang, Jianhuang Lai, Peigen Huang and Xiaohua Xie.
    The Association for the Advancement of Artificial Intelligence (AAAI), 2019

    PDF Code arXiv




    M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification

    Wenqi Liang, Guangcong Wang, Jianhuang Lai.
    ACTA AUTOMATICA SINICA, 2019

    arXiv




    Ocluded Person Re-identification

    Jiaxuan Zhuo, Zeyu Chen, Jianhuang Lai, Guangcong Wang.
    IEEE International Conference on Multimedia and Expo (ICME), 2021 (oral)

    PDF Dataset




    P2SNet: Can an Image Match a Video for Person Re-identification in an End-to-end Way
    Guangcong Wang, Jianhuang Lai, Xiaohua Xie.
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018
    PDF




    Deep Growing Learning

    Guangcong Wang, Xiaohua Xie, Jianhuang Lai, Jiaxuan Zhuo.
    International Conference on Computer Vision (ICCV), 2017

    PDF Code




    Website template credits to Ziwei Liu