- Technology Partner & Director of Algorithms at X3000 Inspection (pre-A round completed (2023), A round completed (2024)), focusing on algorithm design and deployment based on the machine vision.
- 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, Dalian University of Technology (DUT), 2019 - Present.
- Received the B.E. degree in Electronic and Information Engineering from the School of Information and Communication Engineering, Dalian University of Technology (DUT), 2015 - 2019.
👋 About Me
Research Interests
My current research interests include Deep Learning, Computer Vision, and Neural Network Design.
- Architecture Design: CNN, Transformer, Unified Architecture
- Human-Centered Scene Analysis: Crowd Counting
- Remote Sense Image Analysis: Remote Sense Change Detection
- Human Visual Attention: Salient and Camouflaged Object Perception
- Context-depend Concept Perception: Salient, Camouflaged, Shadow, Transparent, Abnormal
- Industrial X-ray/CT Machine Vision (Ai4Industury): Lithium Battery, FPCA, Auto Parts
- Medical Lesion Segmentation: Colon Polyp, COVID-19, Breast, Skin
- Learning Paradigm: Multi-Task Learning, Multi-Modal Learning (Vision/Depth/Thermal/Text/Video)
📢 News
- 2 paper accepted in CVPR 2024.
- 2 paper accepted in IJCV 2024.
- 1 paper accepted in ICCV 2023.
- 1 paper accepted in IEEE TIP 2023.
- 1 paper accepted in IEEE TIP 2022.
- 1 paper accepted in PRCV 2022.
- 1 paper accepted in CVPR 2022.
- 1 paper accepted in AAAI 2022 (~15%[1349/9020]) .
- 1 paper accepted in ACMMM 2021 (oral ~9%[179/1942]) .
- 3 papers accepted in ECCV 2020 (1 oral ~2%[104/5025]) .
- 1 paper accepted in CVPR 2020.
💻 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. |
🧁 Honor
- (2023-10) Doctoral National Scholarship 😄
- Gold Award of The 8th China International College Students' 'Internet+' Innovation and Entrepreneurship Competition, Company/Project: 工源三仟 (~0.05‰[161/3,400,000+])
- MICCAI 2022 Challenge: Glaucoma Oct Analysis and Layer Segmentation (GOALS), Team: IIAU-Segmentors: Glaucoma Detection: 1/100; OCT Layer Segmentation: 3/100; GOALS: 2/100; $1,300 bonus
- VisDrone 2021 Crowd Counting Challenge (ICCV 2021 Workshop) (7/77)
- 2020 Hualu Cup's first big data competition (Intelligent Diagnosis of Cancer Risk) (7/114)
- 2020 Huawei Fellowship
- Third place of 2018 OPPO Top AI Competition (Portrait Segmentation) (3/456, 50,000 RMB bonus)
📖 Paper
Peer Review
ZoomNeXt: A Unified Collaborative Pyramid Network for Camouflaged Object Detection
ArXiv 2023
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
Towards Automatic Power Battery Detection: New Challenge, Benchmark Dataset and Baseline
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Multi-view Aggregation Framework for High-resolution Object Segmentation
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2024
Towards Diverse Binary Segmentation via A Simple yet General Gated Network
International Journal of Computer Vision (IJCV) 2024
Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation
International Journal of Computer Vision (IJCV) 2024
Adaptive Illumination Mapping for Shadow Detection in Raw Images
IEEE International Conference on Computer Vision (ICCV) 2023
CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection
IEEE Transactions on Image Processing (TIP) 2023
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction
IEEE Transactions on Image Processing (TIP) 2022
Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Self-Supervised Pretraining for RGB-D Salient Object Detection
AAAI Conference on Artificial Intelligence (AAAI) 2022
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation
ACM International Conference on Multimedia (ACMMM) 2021 Oral
Hierarchical Dynamic Filtering Network for RGB-D Salient Object Detection
European Conference on Computer Vision (ECCV) 2020
Suppress and Balance: A Simple Gated Network for Salient Object Detection
European Conference on Computer Vision (ECCV) 2020 Oral
A Single Stream Network for Robust and Real-time RGB-D Salient Object Detection
European Conference on Computer Vision (ECCV) 2020
Multi-scale Interactive Network for Salient Object Detection
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020