Ph.D. Student from IIAU LAB (DUT) for CV and AI.
Youwei Pang
@lartpang
Ph.D. Student from IIAU LAB (DUT) for CV and AI.
👋 About Me
My Experiences
2021-Present: X3000 Inspection
Technology Partner at X3000 Inspection (pre-A round completed (2023), A round completed (2024)), focusing on algorithm design and deployment based on the machine vision.
2019-Present: Dalian University of Technology (DUT)
Pursuing a Ph.D in Signal and Information Processing and supervised by Prof. Lihe Zhang and Prof. Huchuan Lu (IEEE Fellow) from the School of Information and Communication Engineering.
2015-2019: Dalian University of Technology (DUT)
Received the B.E. degree in Electronic and Information Engineering from the School of Information and Communication Engineering.
Research Interests
My current research interests include Deep Learning, Computer Vision, and Neural Network Design.
📢 News
2024 | ECCV (1 Paper). |
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2024 | TPAMI (1 Paper). |
2024 | ICML 2024 (1 Poster). |
2024 | CVPR 2024 (1 Poster, 1 Highlight). |
2024 | IJCV (2 Paper). |
2023 | ICCV (1 Poster). |
2023 | IEEE TIP (1 Paper). |
2022 | IEEE TIP (1 Paper). |
2022 | PRCV (1 Poster). |
2022 | CVPR (1 Poster). |
2022 | AAAI (1 Poster). |
2021 | ACMMM (1 Oral). |
2020 | ECCV (2 Poster, 1 Oral). |
2020 | CVPR (1 Poster). |
📂 Resource
2024-05-31 | 视觉与语言—开放词汇感知综述 |
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💻 Project
Stars | Name | Description |
---|---|---|
Hands-on-Docker (中文) | 一份详尽的 Docker 使用指南。 | |
Awesome-Class-Activation-Map | An awesome list of papers and tools about the class activation map (CAM) technology. | |
PyTorchTricks | Some tricks of pytorch… | |
MethodsCmp | A Simple Toolkit for Counting the FLOPs/MACs, Parameters and FPS of Pytorch-based Methods. | |
PySODEvalToolkit | A Python-based salient object detection and video object segmentation evaluation toolbox. | |
PySODMetrics | A simple and efficient implementation of SOD metrcis. | |
PyLoss | Some loss functions for deeplearning. | |
OpticalFlowBasedVOS | A simple and efficient codebase for the optical flow based video object segmentation. | |
CoSaliencyProj | A project for co-saliency detection. Some codes are borrowed from ICNet (NIPS2020). | |
RunIt | A simple program scheduler for your code on different devices. | |
RegisterIt | Register it: A more flexible register for the DeepLearning project. | |
mssim.pytorch | A better pytorch-based implementation for the mean structural similarity. Differentiable simpler SSIM and MS-SSIM. | |
tta.pytorch | Test-Time Augmentation library for Pytorch. | |
YuQueTools | A simple tool to download your own articles from yuque. | |
ManageMyAttachments | Manage the attachments of your own obsidian vault. |
📖 Paper
Peer Review
ComPtr: Towards Diverse Bi-source Dense Prediction Tasks via A Simple yet General Complementary Transformer
ArXiv 2023
M2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
ArXiv 2023
Publication
Open-Vocabulary Camouflaged Object Segmentation
European Conference on Computer Vision (ECCV) 2024, Springer
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2024, IEEE
[EI:20242616353583] [DOI:10.1109/TPAMI.2024.3417329] [Paper (ArXiv)] [Code (GitHub)]
Spider: A Unified Framework for Context-dependent Concept Understanding
International Conference on Machine Learning (ICML) 2024, PMLR[EI:20243817053162] [Paper (ArXiv)] [Code]
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, IEEE
[EI:20244317260998] [DOI:10.1109/CVPR52733.2024.02079] [Paper (ArXiv)] [Project] [工源三仟公众号] [Code]
Multi-view Aggregation Network for Dichotomous Image Segmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024, IEEE Highlight
[EI:20244317260270] [DOI:10.1109/CVPR52733.2024.00376] [Paper (ArXiv)] [Code]
Towards Diverse Binary Segmentation via A Simple yet General Gated Network
International Journal of Computer Vision (IJCV) 2024, Springer
[EI:20241916055804] [WOS:001215379300003] [DOI:10.1007/s11263-024-02058-y] [Paper (ArXiv)] [Code]
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
International Journal of Computer Vision (IJCV) 2024, Springer
[EI:20241015709995] [WOS:001176531200002] [DOI:10.1007/s11263-024-02024-8] [Paper (ArXiv)]
Adaptive Illumination Mapping for Shadow Detection in Raw Images
IEEE/CVF International Conference on Computer Vision (ICCV) 2023, IEEE
[EI:20240915634899] [WOS:001169499005013] [DOI:10.1109/ICCV51070.2023.01167] [Paper (CVF)] [Code]
CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
Transactions on Image Processing (TIP) 2023, IEEE
[EI:20230613542686] [WOS:000922870200004] [DOI:10.1109/TIP.2023.3234702] [Paper (ArXiv)] [Paper (IEEE)] [Code] [Project]
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
Transactions on Image Processing (TIP) 2022, IEEE
[EI:20225113272379] [WOS:000892917400002] [DOI:10.1109/TIP.2022.3222641] [Paper] [Code]
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, IEEE
[EI:20224613119658] [WOS:000867754202041] [DOI:10.1109/CVPR52688.2022.00220] [Paper] [Code] [Project]
Self-Supervised Pretraining for RGB-D Salient Object Detection
Association for the Advancement of Artificial Intelligence (AAAI) 2022
[EI:20230713571733] [WOS:000893636203061] [Paper] [Slide&极市平台推送] [Code]
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
ACM International Conference on Multimedia (ACM MM) 2021 Oral
[EI:20214711200241] [WOS:001147786902077] [Paper] [Slide&极市平台推送] [Code]
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
European Conference on Computer Vision (ECCV) 2020, Springer
[EI:20205009617977] [DOI:10.1007/978-3-030-58595-2_15] [Paper] [Slide] [Code]
Suppress and Balance: A Simple Gated Network for Salient Object Detection
European Conference on Computer Vision (ECCV) 2020, Springer Oral
[EI:20205009597084] [DOI:10.1007/978-3-030-58536-5_3] [Paper] [Slide] [Code]