Dr Guangliang Cheng PhD

Reader (Associate Professor) Computer Science

Work email Guangliang.Cheng@liverpool.ac.uk
Personal Websitehttps://sites.google.com/view/guangliangcheng

Publications

Selected Publications

Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network (Journal article - 2017)

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2024

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network (Journal article)

Zhao, Q., Lyu, S., Chen, L., Liu, B., Xu, T. -B., Cheng, G., & Feng, W. (2024). Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network. IEEE Transactions on Circuits and Systems for Video Technology, 33(11), 6661-6678. doi:10.1109/tcsvt.2023.3267115

DOI: 10.1109/tcsvt.2023.3267115

Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation (Journal article)

Zhao, Q., Lyu, S., Zhao, H., Liu, B., Chen, L., & Cheng, G. (2024). Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation. International Journal of Applied Earth Observation and Geoinformation, 127, 103646. doi:10.1016/j.jag.2023.103646

DOI: 10.1016/j.jag.2023.103646

Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow (Journal article)

Li, X., Zhang, J., Yang, Y., Cheng, G., Yang, K., Tong, Y., & Tao, D. (n.d.). Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow. International Journal of Computer Vision. doi:10.1007/s11263-023-01875-x

DOI: 10.1007/s11263-023-01875-x

Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation (Conference Paper)

Wu, J., Li, X., Ding, H., Li, X., Cheng, G., Tong, Y., & Loy, C. C. (2024). Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. doi:10.1109/iccv51070.2023.02005

DOI: 10.1109/iccv51070.2023.02005

2023

Decision Boundary Optimization for Few-shot Class-Incremental Learning (Conference Paper)

Guo, C., Zhao, Q., Lyu, S., Liu, B., Wang, C., Chen, L., & Cheng, G. (2023). Decision Boundary Optimization for Few-shot Class-Incremental Learning. In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE. doi:10.1109/iccvw60793.2023.00376

DOI: 10.1109/iccvw60793.2023.00376

Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision (Conference Paper)

Li, M., Wang, C., Feng, W., Lyu, S., Cheng, G., Li, X., . . . Zhao, Q. (2023). Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision. In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). IEEE. doi:10.1109/iccvw60793.2023.00501

DOI: 10.1109/iccvw60793.2023.00501

Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation (Conference Paper)

Li, X., Yuan, H., Zhang, W., Cheng, G., Pang, J., & Loy, C. C. (2023). Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation. In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. doi:10.1109/iccv51070.2023.01280

DOI: 10.1109/iccv51070.2023.01280

TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers (Journal article)

Zhou, Q., Li, X., He, L., Yang, Y., Cheng, G., Tong, Y., . . . Tao, D. (2023). TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 45(6), 7853-7869. doi:10.1109/TPAMI.2022.3223955

DOI: 10.1109/TPAMI.2022.3223955

Improving Video Instance Segmentation via Temporal Pyramid Routing (Journal article)

Li, X., He, H., Yang, Y., Ding, H., Yang, K., Cheng, G., . . . Tao, D. (2023). Improving Video Instance Segmentation via Temporal Pyramid Routing. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 45(5), 6594-6601. doi:10.1109/TPAMI.2022.3211612

DOI: 10.1109/TPAMI.2022.3211612

Transformer-Based Visual Segmentation: A Survey (Preprint)

DOI: 10.48550/arxiv.2304.09854

Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation (Preprint)

DOI: 10.48550/arxiv.2303.12782

IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM (Patent)

Cheng, G., & Wang, K. (n.d.). IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM.

Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation (Preprint)

DOI: 10.36227/techrxiv.22082723

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation (Preprint)

Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search (Preprint)

Context-Aware Mixup for Domain Adaptive Semantic Segmentation (Journal article)

Zhou, Q., Feng, Z., Gu, Q., Pang, J., Cheng, G., Lu, X., . . . Ma, L. (2023). Context-Aware Mixup for Domain Adaptive Semantic Segmentation. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 33(2), 804-817. doi:10.1109/TCSVT.2022.3206476

DOI: 10.1109/TCSVT.2022.3206476

Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation (Preprint)

DOI: 10.48550/arxiv.2301.00805

2022

Query Learning of Both Thing and Stuff for Panoptic Segmentation (Conference Paper)

Xu, S., Li, X., Yang, Y., Li, H., Cheng, G., & Tong, Y. (2022). Query Learning of Both Thing and Stuff for Panoptic Segmentation. In 2022 IEEE International Conference on Image Processing (ICIP). IEEE. doi:10.1109/icip46576.2022.9897546

DOI: 10.1109/icip46576.2022.9897546

DMT: Dynamic mutual training for semi-supervised learning (Journal article)

Feng, Z., Zhou, Q., Gu, Q., Tan, X., Cheng, G., Lu, X., . . . Ma, L. (2022). DMT: Dynamic mutual training for semi-supervised learning. Pattern Recognition, 130, 108777. doi:10.1016/j.patcog.2022.108777

DOI: 10.1016/j.patcog.2022.108777

Uncertainty-aware consistency regularization for cross-domain semantic segmentation (Journal article)

Zhou, Q., Feng, Z., Gu, Q., Cheng, G., Lu, X., Shi, J., & Ma, L. (2022). Uncertainty-aware consistency regularization for cross-domain semantic segmentation. Computer Vision and Image Understanding, 221, 103448. doi:10.1016/j.cviu.2022.103448

DOI: 10.1016/j.cviu.2022.103448

MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation (Preprint)

DOI: 10.48550/arxiv.2207.06799

SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow (Preprint)

DOI: 10.48550/arxiv.2207.04415

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow (Preprint)

Method and apparatus for generating road map, electronic device, and computer storage medium (Patent)

Cheng, G., & Shi, J. (2019, October 17). US11354893B2, Method and apparatus for generating road map, electronic device, and computer storage medium.

Lane line-based intelligent driving control method and apparatus, and electronic device (Patent)

Liu, W., Yu, C., Cheng, G., & Zhu, H. (2022, April 26). US11314973B2, Lane line-based intelligent driving control method and apparatus, and electronic device.

Fashionformer: A simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition (Preprint)

DOI: 10.48550/arxiv.2204.04654

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation (Preprint)

DOI: 10.48550/arxiv.2204.04655

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation (Preprint)

DOI: 10.48550/arxiv.2204.04656

IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER READABLE STORAGE MEDIUM (Patent)

Wang, K., & Cheng, G. (2022, April 8). US20220130141A1, IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER READABLE STORAGE MEDIUM.

TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers (Preprint)

DOI: 10.48550/arxiv.2201.05047

Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition (Conference Paper)

Xu, S., Li, X., Wang, J., Cheng, G., Tong, Y., & Tao, D. (2022). Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition. In Unknown Conference (pp. 545-563). Springer Nature Switzerland. doi:10.1007/978-3-031-19836-6_31

DOI: 10.1007/978-3-031-19836-6_31

Multi-level Domain Adaptation for Lane Detection (Conference Paper)

Li, C., Zhang, B., Shi, J., & Cheng, G. (2022). Multi-level Domain Adaptation for Lane Detection. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw56347.2022.00484

DOI: 10.1109/cvprw56347.2022.00484

Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation (Conference Paper)

Li, X., Xu, S., Yang, Y., Cheng, G., Tong, Y., & Tao, D. (2022). Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation. In Unknown Conference (pp. 729-747). Springer Nature Switzerland. doi:10.1007/978-3-031-19812-0_42

DOI: 10.1007/978-3-031-19812-0_42

PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation (Conference Paper)

Yuan, H., Li, X., Yang, Y., Cheng, G., Zhang, J., Tong, Y., . . . Tao, D. (2022). PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation. In Unknown Conference (pp. 582-599). Springer Nature Switzerland. doi:10.1007/978-3-031-19812-0_34

DOI: 10.1007/978-3-031-19812-0_34

Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior (Conference Paper)

Li, C., Shi, J., Wang, Y., & Cheng, G. (2022). Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw56347.2022.00483

DOI: 10.1109/cvprw56347.2022.00483

Spatio-Temporal Fusion-based Monocular 3D Lane Detection (Conference Paper)

Wang, Y., Guo, Q., Lin, P., Cheng, G., & Wu, J. (2022). Spatio-Temporal Fusion-based Monocular 3D Lane Detection. In BMVC 2022 - 33rd British Machine Vision Conference Proceedings.

Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation (Conference Paper)

Li, X., Zhang, W., Pang, J., Chen, K., Cheng, G., Tong, Y., & Loy, C. C. (2022). Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation. In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr52688.2022.01828

DOI: 10.1109/cvpr52688.2022.01828

2021

Boundarysqueeze: Image segmentation as boundary squeezing (Preprint)

PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation (Preprint)

DOI: 10.48550/arxiv.2112.02582

Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network (Preprint)

End-to-End Video Object Detection with Spatial-Temporal Transformers (Conference Paper)

He, L., Zhou, Q., Li, X., Niu, L., Cheng, G., Li, X., . . . Zhang, L. (2021). End-to-End Video Object Detection with Spatial-Temporal Transformers. In Proceedings of the 29th ACM International Conference on Multimedia. ACM. doi:10.1145/3474085.3475285

DOI: 10.1145/3474085.3475285

Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network (Conference Paper)

Zhao, Q., Lyu, S., Zhang, Z., Xu, T., & Cheng, G. (2021). Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network. In CVPRW 2021.

표적 검출, 지능형 주행 방법, 장치, 디바이스 및 저장매체 (Patent)

Cheng, G., Shi, J., & Lyu, S. (2021, August 10). KR20210098515A, 표적 검출, 지능형 주행 방법, 장치, 디바이스 및 저장매체.

Improving Video Instance Segmentation via Temporal Pyramid Routing (Preprint)

DOI: 10.48550/arxiv.2107.13155

이미지 처리 방법, 장치, 지능형 주행 시스템 및 차량 탑재 연산 플랫폼 (Patent)

Cheng, G., Shi, J., & Wen, T. (2021, July 23). KR20210092254A, 이미지 처리 방법, 장치, 지능형 주행 시스템 및 차량 탑재 연산 플랫폼.

이미지 처리 방법, 장치, 차량 탑재 연산 플랫폼, 전자 디바이스 및 시스템 (Patent)

Shi, J., Cheng, G., & Wen, T. (2021, July 19). KR20210090249A, 이미지 처리 방법, 장치, 차량 탑재 연산 플랫폼, 전자 디바이스 및 시스템.

METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGE AND STORAGE MEDIUM (Patent)

Cheng, G., Lin, P., & Shi, J. (2021, June 30). SG11202013051WA, METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGE AND STORAGE MEDIUM.

차선 검출방법, 장치, 전자장치 및 가독 저장 매체 (Patent)

Cheng, G., Sun, P., & Shi, J. (2021, June 30). KR20210080459A, 차선 검출방법, 장치, 전자장치 및 가독 저장 매체.

차선의 검출 및 주행 제어 방법, 장치 및 전자 디바이스 (Patent)

Shi, J., Cheng, G., & Zhuang, P. (2021, June 29). KR20210079339A, 차선의 검출 및 주행 제어 방법, 장치 및 전자 디바이스.

차선 속성 검출방법, 장치, 전자장치 및 가독 저장 매체 (Patent)

Cheng, G., Shi, J., & Sun, P. (2021, June 28). KR20210078530A, 차선 속성 검출방법, 장치, 전자장치 및 가독 저장 매체.

BODY ORIENTATION DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM (Patent)

Xu, J., Cheng, G., & Li, X. (2021, May 27). WO2021098346A1, BODY ORIENTATION DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.

ROAD JUNCTION DETECTION METHOD AND APPARATUS, NEURAL NETWORK TRAINING METHOD AND APPARATUS, INTELLIGENT DRIVING METHOD AND APPARATUS, AND DEVICE (Patent)

Cheng, G., & Shi, J. (2021, May 14). WO2021088504A1, ROAD JUNCTION DETECTION METHOD AND APPARATUS, NEURAL NETWORK TRAINING METHOD AND APPARATUS, INTELLIGENT DRIVING METHOD AND APPARATUS, AND DEVICE.

TARGET ATTRIBUTE DETECTION, NEURAL NETWORK TRAINING AND INTELLIGENT DRIVING METHODS AND APPARATUSES (Patent)

Cheng, G., Shi, J., & Lin, P. (2021, May 14). WO2021088505A1, TARGET ATTRIBUTE DETECTION, NEURAL NETWORK TRAINING AND INTELLIGENT DRIVING METHODS AND APPARATUSES.

TARGET DETECTION AND INTELLIGENT DRIVING METHODS AND APPARATUSES, DEVICE, AND STORAGE MEDIUM (Patent)

Cheng, G., Shi, J., & Lyu, S. (2021, May 6). WO2021083126A, TARGET DETECTION AND INTELLIGENT DRIVING METHODS AND APPARATUSES, DEVICE, AND STORAGE MEDIUM.

METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGE AND STORAGE MEDIUM (Patent)

Lin, P., Cheng, G., & Shi, J. (2021, April 29). US20210124974A1, METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGE AND STORAGE MEDIUM.

LANE LINE ATTRIBUTE DETECTION (Patent)

Zhang, Y., Lin, P., Cheng, G., & Shi, J. (2021, April 22). US20210117700A1, LANE LINE ATTRIBUTE DETECTION.

이미지 처리 방법, 장치, 디바이스 및 기록 매체 (Patent)

Cheng, G., Lin, P., & Shi, J. (2021, April 13). KR20210040429A, 이미지 처리 방법, 장치, 디바이스 및 기록 매체.

LIGHT INTENSITY ADJUSTMENT METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM (Patent)

Cheng, G., & Shi, J. (2021, April 1). WO2021057244A1, LIGHT INTENSITY ADJUSTMENT METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM.

Enhanced Boundary Learning for Glass-like Object Segmentation (Preprint)

DOI: 10.48550/arxiv.2103.15734

INTELLIGENT DRIVING CONTRL METHOD AND APPARATUS, AND COMPUTER STORAGE MEDIUM (Patent)

Cheng, G., & Shi, J. (2021, March 11). US20210070318A1, INTELLIGENT DRIVING CONTRL METHOD AND APPARATUS, AND COMPUTER STORAGE MEDIUM.

IMAGE PROCESSING METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM (Patent)

Shi, J., Cheng, G., & Lin, P. (2021, February 25). WO2021031540A1, IMAGE PROCESSING METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM.

차선 속성 검출 (Patent)

Cheng, G., Lin, P., Shi, J., & Zhang, Y. (2021, February 17). KR20210018493A, 차선 속성 검출.

지능형 주행 제어 방법 및 장치, 전자 기기 (Patent)

Cheng, G., & Shi, J. (2021, February 4). KR20210013599A, 지능형 주행 제어 방법 및 장치, 전자 기기.

INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Shi, J., & Cheng, G. (2021, January 28). SG11202011767QA, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

LANE LINE ATTRIBUTE DETECTION (Patent)

Shi, J., Cheng, G., Zhang, Y., & Lin, P. (2021, January 28). SG11202013052UA, LANE LINE ATTRIBUTE DETECTION.

Enhanced Boundary Learning for Glass-like Object Segmentation (Conference Paper)

He, H., Li, X., Cheng, G., Shi, J., Tong, Y., Meng, G., . . . Weng, L. (2021). Enhanced Boundary Learning for Glass-like Object Segmentation. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. doi:10.1109/iccv48922.2021.01556

DOI: 10.1109/iccv48922.2021.01556

Global Aggregation Then Local Distribution for Scene Parsing. (Journal article)

Li, X., Zhang, L., Cheng, G., Yang, K., Tong, Y., Zhu, X., & Xiang, T. (2021). Global Aggregation Then Local Distribution for Scene Parsing.. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society, 30, 6829-6842. doi:10.1109/tip.2021.3099366

DOI: 10.1109/tip.2021.3099366

PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation (Conference Paper)

Gu, Q., Zhou, Q., Xu, M., Feng, Z., Cheng, G., Lu, X., . . . Ma, L. (2021). PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE. doi:10.1109/iccv48922.2021.00864

DOI: 10.1109/iccv48922.2021.00864

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation (Conference Paper)

Li, X., He, H., Li, X., Li, D., Cheng, G., Shi, J., . . . Lin, Z. (2021). PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr46437.2021.00420

DOI: 10.1109/cvpr46437.2021.00420

Towards Efficient Scene Understanding via Squeeze Reasoning (Journal article)

Li, X., Li, X., You, A., Zhang, L., Cheng, G., Yang, K., . . . Lin, Z. (2021). Towards Efficient Scene Understanding via Squeeze Reasoning. IEEE TRANSACTIONS ON IMAGE PROCESSING, 30, 7050-7063. doi:10.1109/TIP.2021.3099369

DOI: 10.1109/TIP.2021.3099369

2020

INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Shi, J., & Cheng, G. (2020, December 24). WO2020252971A1, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

Towards Efficient Scene Understanding via Squeeze Reasoning (Preprint)

DOI: 10.48550/arxiv.2011.03308

LANE LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Liu, W., Yu, C., Cheng, G., & Zhu, H. (2020, September 17). US20200293797A1, LANE LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

INTELLIGENT DRIVING CONTROL METHOD, ELECTRONIC DEVICE, AND MEDIUM (Patent)

Cheng, G., & Shi, J. (2020, August 27). US20200272835A1, INTELLIGENT DRIVING CONTROL METHOD, ELECTRONIC DEVICE, AND MEDIUM.

IMAGE PROCESSING METHOD AND DEVICE, INTELLIGENT DRIVING SYSTEM, AND VEHICLE-MOUNTED COMPUTING PLATFORM (Patent)

Cheng, G., Shi, J., & Wen, T. (2020, July 2). WO2020135602A1, IMAGE PROCESSING METHOD AND DEVICE, INTELLIGENT DRIVING SYSTEM, AND VEHICLE-MOUNTED COMPUTING PLATFORM.

IMAGE PROCESSING METHOD AND DEVICE, VEHICLE-MOUNTED OPERATION PLATFORM, ELECTRONIC DEVICE AND SYSTEM (Patent)

Shi, J., Cheng, G., & Wen, T. (2020, July 2). WO2020135601A1, IMAGE PROCESSING METHOD AND DEVICE, VEHICLE-MOUNTED OPERATION PLATFORM, ELECTRONIC DEVICE AND SYSTEM.

INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM (Patent)

Shi, J., & Cheng, G. (2020, June 29). SG11202004313XA, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM.

LANE LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Liu, W., Cheng, G., Yu, C., & Zhu, H. (2020, June 29). SG11202005094XA, LANE LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

Low-bit Quantization Needs Good Distribution (Conference Paper)

Yu, H., Wen, T., Cheng, G., Sun, J., Han, Q., & Shi, J. (2020). Low-bit Quantization Needs Good Distribution. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE. doi:10.1109/cvprw50498.2020.00348

DOI: 10.1109/cvprw50498.2020.00348

LANE LINE DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM (Patent)

Shi, J., Sun, P., & Cheng, G. (2020, May 28). WO2020103892A1, LANE LINE DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM.

LANE LINE PROPERTY DETECTION METHOD, DEVICE, ELECTRONIC APPARATUS, AND READABLE STORAGE MEDIUM (Patent)

Cheng, G., Shi, J., & Sun, P. (2020, May 28). WO2020103893A1, LANE LINE PROPERTY DETECTION METHOD, DEVICE, ELECTRONIC APPARATUS, AND READABLE STORAGE MEDIUM.

LANE LINE DETECTION METHOD AND APPARATUS, DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Cheng, G., Shi, J., & Zhuang, P. (2020, May 22). WO2020098708A1, LANE LINE DETECTION METHOD AND APPARATUS, DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

Semi-supervised semantic segmentation via dynamic self-training and classbalanced curriculum (Preprint)

INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM (Patent)

Cheng, G., & Shi, J. (2020, February 27). WO2020038091A1, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM.

LANE LINE PROPERTY DETECTION (Patent)

Shi, J., Cheng, G., Zhang, Y., & Lin, P. (2020, February 20). WO2020258894A1, LANE LINE PROPERTY DETECTION.

METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM (Patent)

Shi, J., & Cheng, G. (2020, February 13). US2020050854A1, METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.

METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM (Patent)

Cheng, G., & Shi, J. (2020, February 13). US20200050854A1, METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.

Deep Similarity Fusion Networks for One-Shot Semantic Segmentation (Conference Paper)

Lyu, S., Cheng, G., & Ding, Q. (2020). Deep Similarity Fusion Networks for One-Shot Semantic Segmentation. In Unknown Conference (pp. 181-194). Springer International Publishing. doi:10.1007/978-3-030-41404-7_13

DOI: 10.1007/978-3-030-41404-7_13

Graph-Guided Architecture Search for Real-Time Semantic Segmentation (Conference Paper)

Lin, P., Sun, P., Cheng, G., Xie, S., Li, X., & Shi, J. (2020). Graph-Guided Architecture Search for Real-Time Semantic Segmentation. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE. doi:10.1109/cvpr42600.2020.00426

DOI: 10.1109/cvpr42600.2020.00426

Improving Semantic Segmentation via Decoupled Body and Edge Supervision (Conference Paper)

Li, X., Li, X., Zhang, L., Cheng, G., Shi, J., Lin, Z., . . . Tong, Y. (2020). Improving Semantic Segmentation via Decoupled Body and Edge Supervision. In Unknown Conference (pp. 435-452). Springer International Publishing. doi:10.1007/978-3-030-58520-4_26

DOI: 10.1007/978-3-030-58520-4_26

Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization (Conference Paper)

Yu, H., Han, Q., Li, J., Shi, J., Cheng, G., & Fan, B. (2020). Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization. In Unknown Conference (pp. 1-16). Springer International Publishing. doi:10.1007/978-3-030-58545-7_1

DOI: 10.1007/978-3-030-58545-7_1

2019

LANE-LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE (Patent)

Zhu, H., Cheng, G., Liu, W., & Yu, C. (2019, December 5). WO2019228211A1, LANE-LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.

METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM (Patent)

Shi, J., & Cheng, G. (2019, November 28). SG11201909743QA, METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.

OVSNet: Towards One-Pass Real-Time Video Object Segmentation (Preprint)

Recognizing road from satellite images by structured neural network (Journal article)

Cheng, G., Wu, C., Huang, Q., Meng, Y., Shi, J., Chen, J., & Yan, D. (2019). Recognizing road from satellite images by structured neural network. Neurocomputing, 356, 131-141. doi:10.1016/j.neucom.2019.05.007

DOI: 10.1016/j.neucom.2019.05.007

GDRQ: Group-based Distribution Reshaping for Quantization (Preprint)

DOI: 10.48550/arxiv.1908.01477

ROAD MAP GENERATING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM (Patent)

Cheng, G., & Shi, J. (2019, March 28). WO2019056845A1, ROAD MAP GENERATING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.

2017

Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network (Journal article)

Zhan, Y., Wang, J., Shi, J., Cheng, G., Yao, L., & Sun, W. (2017). Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network. IEEE Geoscience and Remote Sensing Letters, 14(10), 1785-1789. doi:10.1109/lgrs.2017.2735801

DOI: 10.1109/lgrs.2017.2735801

Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network (Journal article)

Cheng, G., Wang, Y., Xu, S., Wang, H., Xiang, S., & Pan, C. (2017). Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network. IEEE Transactions on Geoscience and Remote Sensing, 55(6), 3322-3337. doi:10.1109/tgrs.2017.2669341

DOI: 10.1109/tgrs.2017.2669341

SeNet: Structured Edge Network for Sea–Land Segmentation (Journal article)

Cheng, D., Meng, G., Cheng, G., & Pan, C. (2017). SeNet: Structured Edge Network for Sea–Land Segmentation. IEEE Geoscience and Remote Sensing Letters, 14(2), 247-251. doi:10.1109/lgrs.2016.2637439

DOI: 10.1109/lgrs.2016.2637439

2016

Semantic segmentation with modified deep residual networks (Conference Paper)

Cheng, G., Chen, X., Cai, Y., Wen, D., & Li, H. (2016). Semantic segmentation with modified deep residual networks. In CCPR 2016.

Fast Aircraft Detection Using End-to-End Fully Convolutional Network (Conference Paper)

Xu, T. -B., Cheng, G. -L., Yang, J., & Liu, C. -L. (2016). Fast Aircraft Detection Using End-to-End Fully Convolutional Network. In 2016 IEEE International Conference on Digital Signal Processing (DSP). IEEE. doi:10.1109/icdsp.2016.7868532

DOI: 10.1109/icdsp.2016.7868532

Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting (Journal article)

Cheng, G., Zhu, F., Xiang, S., Wang, Y., & Pan, C. (2016). Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting. Neurocomputing, 205, 407-420. doi:10.1016/j.neucom.2016.04.026

DOI: 10.1016/j.neucom.2016.04.026

Building extraction from multi-source remote sensing images via deep deconvolution neural networks (Conference Paper)

Huang, Z., Cheng, G., Wang, H., Li, H., Shi, L., & Pan, C. (2016). Building extraction from multi-source remote sensing images via deep deconvolution neural networks. In 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS). IEEE. doi:10.1109/igarss.2016.7729471

DOI: 10.1109/igarss.2016.7729471

Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression (Journal article)

Cheng, G., Zhu, F., Xiang, S., & Pan, C. (2016). Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression. IEEE Geoscience and Remote Sensing Letters, 13(4), 545-549. doi:10.1109/lgrs.2016.2524025

DOI: 10.1109/lgrs.2016.2524025

Semisupervised Hyperspectral Image Classification via Discriminant Analysis and Robust Regression (Journal article)

Cheng, G., Zhu, F., Xiang, S., Wang, Y., & Pan, C. (2016). Semisupervised Hyperspectral Image Classification via Discriminant Analysis and Robust Regression. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(2), 595-608. doi:10.1109/jstars.2015.2471176

DOI: 10.1109/jstars.2015.2471176

2015

Road extraction via adaptive graph cuts with multiple features (Conference Paper)

Cheng, G., Wang, Y., Zhu, F., & Pan, C. (2015). Road extraction via adaptive graph cuts with multiple features. In 2015 IEEE International Conference on Image Processing (ICIP). IEEE. doi:10.1109/icip.2015.7351549

DOI: 10.1109/icip.2015.7351549

2014

Urban road extraction via graph cuts based probability propagation (Conference Paper)

Cheng, G., Wang, Y., Gong, Y., Zhu, F., & Pan, C. (2014). Urban road extraction via graph cuts based probability propagation. In 2014 IEEE International Conference on Image Processing (ICIP). IEEE. doi:10.1109/icip.2014.7026027

DOI: 10.1109/icip.2014.7026027