Mingming Gong

Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition

A Zhu, Q Ke, M Gong, J Bailey

Conference Proceedings  |  2023  |  Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

Skeleton-based action recognition receives increasing attention because skeleton sequences reduce training complexity by eliminati..

Progressive Video Summarization via Multimodal Self-supervised Learning

H Li, Q Ke, M Gong, T Drummond

Conference Proceedings  |  2023  |  Proceedings - 2023 IEEE Winter Conference on Applications of Computer Vision, WACV 2023

Modern video summarization methods are based on deep neural networks that require a large amount of annotated data for training. H..

Sample-Efficient Kernel Mean Estimator with Marginalized Corrupted Data

X Xia, S Shan, M Gong, N Wang, F Gao, H Wei, T Liu

Conference Proceedings  |  2022  |  Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Estimating the kernel mean in a reproducing kernel Hilbert space is central to many kernel-based learning algorithms. Given a fini..

Hierarchical Amortized GAN for 3D High Resolution Medical Image Synthesis.

Li Sun, Junxiang Chen, Yanwu Xu, Mingming Gong, Ke Yu, Kayhan Batmanghelich

Journal article  |  2022  |  IEEE J Biomed Health Inform

Generative Adversarial Networks (GAN) have many potential medical imaging applications, including data augmentation, domain adapta..

Machine learning (ML)-centric resource management in cloud computing: A review and future directions

T Khan, W Tian, G Zhou, S Ilager, M Gong, R Buyya

Journal article  |  2022  |  Journal of Network and Computer Applications

Cloud computing has rapidly emerged as a model for delivering Internet-based utility computing services. Infrastructure as a Servi..

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

M Wang, Y Guo, Z Zhao, G Hu, Y Shen, M Gong, P Torr

Conference Proceedings  |  2022  |  SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Binary pointwise labels (aka implicit feedback) are heavily leveraged by deep learning based recommendation algorithms nowadays. I..

Deep Learning Is Singular, and That's Good

Susan Wei, Daniel Murfet, Mingming Gong, Hui Li, Jesse Gell-Redman, Thomas Quella

Journal article  |  2022  |  IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

In singular models, the optimal set of parameters forms an analytic set with singularities, and a classical statistical inference ..

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization.

Haopeng Li, Qiuhong Ke, Mingming Gong, Rui Zhang

Journal article  |  2022  |  IEEE Trans Pattern Anal Mach Intell

Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-sca..

Learning multi-level weight-centric features for few-shot learning

Mingjiang Liang, Shaoli Huang, Shirui Pan, Mingming Gong, Wei Liu

Journal article  |  2022  |  PATTERN RECOGNITION

Few-shot learning is currently enjoying a considerable resurgence of interest, aided by the recent advance of deep learning. Conte..

A Unified B-Spline Framework for Scale-Invariant Keypoint Detection

Qi Zheng, Mingming Gong, Xinge You, Dacheng Tao

Journal article  |  2022  |  INTERNATIONAL JOURNAL OF COMPUTER VISION

Scale-invariant keypoint detection is a fundamental problem in low-level vision. To accelerate keypoint detectors (e.g. DoG, Harri..