Search Results for author: Mingzhi Dong

Found 15 papers, 4 papers with code

Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation

no code implementations19 Sep 2024 Chenyu Wang, Shuo Yan, Yixuan Chen, Yujiang Wang, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Robert P. Dick, Qin Lv, Fan Yang, Tun Lu, Ning Gu, Li Shang

Our key discovery is that coarse-grained noises in earlier denoising steps have demonstrated high motion consistency across consecutive video frames.

Denoising Video Generation

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

no code implementations NeurIPS 2023 Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

To describe such modular-level learning capabilities, we introduce a novel concept dubbed modular neural tangent kernel (mNTK), and we demonstrate that the quality of a module's learning is tightly associated with its mNTK's principal eigenvalue $\lambda_{\max}$.

Medical records condensation: a roadmap towards healthcare data democratisation

no code implementations5 May 2023 Yujiang Wang, Anshul Thakur, Mingzhi Dong, Pingchuan Ma, Stavros Petridis, Li Shang, Tingting Zhu, David A. Clifton

The prevalence of artificial intelligence (AI) has envisioned an era of healthcare democratisation that promises every stakeholder a new and better way of life.

Clinical Knowledge Dataset Condensation +2

Self-supervised Video-centralised Transformer for Video Face Clustering

no code implementations24 Mar 2022 Yujiang Wang, Mingzhi Dong, Jie Shen, Yiming Luo, Yiming Lin, Pingchuan Ma, Stavros Petridis, Maja Pantic

We also investigate face clustering in egocentric videos, a fast-emerging field that has not been studied yet in works related to face clustering.

Clustering Contrastive Learning +1

Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices

1 code implementation24 Jan 2022 Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang

Experimental studies with 20 participants demonstrate that, thanks to the emotionship awareness, EMOShip not only achieves superior emotion recognition accuracy over existing methods (80. 2% vs. 69. 4%), but also provides a valuable understanding of the cause of emotions.

Emotion Recognition

MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture

no code implementations3 May 2021 Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang

MemX captures human visual attention on the fly, analyzes the salient visual content, and records moments of personal interest in the form of compact video snippets.

A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline

no code implementations9 Apr 2021 Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang

By monitoring the impact of varying resolution on the quality of high-dimensional video analytics features, hence the accuracy of video analytics results, the proposed end-to-end optimization framework learns the best non-myopic policy for dynamically controlling the resolution of input video streams to globally optimize energy efficiency.

Instance Segmentation Optical Flow Estimation +4

Generalization Bound of Gradient Descent for Non-Convex Metric Learning

1 code implementation NeurIPS 2020 Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue

Metric learning aims to learn a distance measure that can benefit distance-based methods such as the nearest neighbour (NN) classifier.

Metric Learning

Towards Certified Robustness of Distance Metric Learning

1 code implementation10 Jun 2020 Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue

Many existing methods consider maximizing or at least constraining a distance margin in the feature space that separates similar and dissimilar pairs of instances to guarantee their generalization ability.

Metric Learning Triplet

Dynamic Face Video Segmentation via Reinforcement Learning

no code implementations CVPR 2020 Yujiang Wang, Mingzhi Dong, Jie Shen, Yang Wu, Shiyang Cheng, Maja Pantic

To the best of our knowledge, this is the first work to use reinforcement learning for online key-frame decision in dynamic video segmentation, and also the first work on its application on face videos.

reinforcement-learning Reinforcement Learning +5

Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning

no code implementations ICLR 2018 Kunkun Pang, Mingzhi Dong, Yang Wu, Timothy Hospedales

In contrast to this body of research, we propose to treat active learning algorithm design as a meta-learning problem and learn the best criterion from data.

Active Learning Meta-Learning +3

Metric Learning via Maximizing the Lipschitz Margin Ratio

no code implementations9 Feb 2018 Mingzhi Dong, Xiaochen Yang, Yang Wu, Jing-Hao Xue

In this paper, we propose the Lipschitz margin ratio and a new metric learning framework for classification through maximizing the ratio.

Metric Learning

Learning Local Metrics and Influential Regions for Classification

no code implementations9 Feb 2018 Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue

The performance of distance-based classifiers heavily depends on the underlying distance metric, so it is valuable to learn a suitable metric from the data.

Classification General Classification +1

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