Search Results for author: Lan Ma

Found 21 papers, 12 papers with code

Exploring Federated Self-Supervised Learning for General Purpose Audio Understanding

no code implementations5 Feb 2024 Yasar Abbas Ur Rehman, Kin Wai Lau, Yuyang Xie, Lan Ma, Jiajun Shen

The integration of Federated Learning (FL) and Self-supervised Learning (SSL) offers a unique and synergetic combination to exploit the audio data for general-purpose audio understanding, without compromising user data privacy.

Federated Learning Retrieval +1

Uncovering Drift in Textual Data: An Unsupervised Method for Detecting and Mitigating Drift in Machine Learning Models

no code implementations7 Sep 2023 Saeed Khaki, Akhouri Abhinav Aditya, Zohar Karnin, Lan Ma, Olivia Pan, Samarth Marudheri Chandrashekar

Our first step involves encoding a sample of production data as the target distribution, and the model training data as the reference distribution.

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

1 code implementation CVPR 2023 Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi

Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their semantic categories.

3D Semantic Segmentation Representation Learning +1

AudioInceptionNeXt: TCL AI LAB Submission to EPIC-SOUND Audio-Based-Interaction-Recognition Challenge 2023

1 code implementation14 Jul 2023 Kin Wai Lau, Yasar Abbas Ur Rehman, Yuyang Xie, Lan Ma

This report presents the technical details of our submission to the 2023 Epic-Kitchen EPIC-SOUNDS Audio-Based Interaction Recognition Challenge.

SL3D: Self-supervised-Self-labeled 3D Recognition

1 code implementation30 Oct 2022 Fernando Julio Cendra, Lan Ma, Jiajun Shen, Xiaojuan Qi

SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic segmentation.

Clustering Object +5

Towards Efficient and Scale-Robust Ultra-High-Definition Image Demoireing

1 code implementation20 Jul 2022 Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Jiajun Shen, Jia Li, Xiaojuan Qi

With the rapid development of mobile devices, modern widely-used mobile phones typically allow users to capture 4K resolution (i. e., ultra-high-definition) images.

Image Enhancement Image Restoration +1

Reconstruct Face from Features Using GAN Generator as a Distribution Constraint

no code implementations9 Jun 2022 Xingbo Dong, Zhihui Miao, Lan Ma, Jiajun Shen, Zhe Jin, Zhenhua Guo, Andrew Beng Jin Teoh

Yet, the security and privacy of the extracted features from deep learning models (deep features) have been often overlooked.

Face Recognition Privacy Preserving

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

no code implementations6 May 2022 Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin

Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.

Computed Tomography (CT) Image Segmentation +3

RCMNet: A deep learning model assists CAR-T therapy for leukemia

no code implementations6 May 2022 Ruitao Zhang, Xueying Han, Ijaz Gul, Shiyao Zhai, Ying Liu, Yongbing Zhang, Yuhan Dong, Lan Ma, Dongmei Yu, Jin Zhou, Peiwu Qin

Although testing on the CAR-T cells dataset, a decent performance is observed, which is attributed to the limited size of the dataset.

Image Classification Transfer Learning

Video Demoireing with Relation-Based Temporal Consistency

1 code implementation CVPR 2022 Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi

Moire patterns, appearing as color distortions, severely degrade image and video qualities when filming a screen with digital cameras.


Abandoning the Bayer-Filter to See in the Dark

1 code implementation CVPR 2022 Xingbo Dong, Wanyan Xu, Zhihui Miao, Lan Ma, Chao Zhang, Jiewen Yang, Zhe Jin, Andrew Beng Jin Teoh, Jiajun Shen

Next, a fully convolutional network is proposed to achieve the low-light image enhancement by fusing colored raw data with synthesized monochrome raw data.

Low-Light Image Enhancement

Towards High-Quality Temporal Action Detection with Sparse Proposals

1 code implementation18 Sep 2021 Jiannan Wu, Peize Sun, Shoufa Chen, Jiewen Yang, Zihao Qi, Lan Ma, Ping Luo

Towards high-quality temporal action detection, we introduce Sparse Proposals to interact with the hierarchical features.

Action Detection Avg +2

A Benchmark for Multi-UAV Task Assignment of an Extended Team Orienteering Problem

1 code implementation1 Sep 2020 Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang

A benchmark for multi-UAV task assignment is presented in order to evaluate different algorithms.

Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform

1 code implementation3 May 2020 Kun Xiao, Lan Ma, Shaochang Tan, Yirui Cong, Xiangke Wang

In this paper, a hierarchical multi-UAV simulation platform, called XTDrone, is designed for UAV swarms, which is completely open-source 4 .

End-to-End Denoising of Dark Burst Images Using Recurrent Fully Convolutional Networks

1 code implementation16 Apr 2019 Di Zhao, Lan Ma, Songnan Li, Dahai Yu

When taking photos in dim-light environments, due to the small amount of light entering, the shot images are usually extremely dark, with a great deal of noise, and the color cannot reflect real-world color.

Image Denoising

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