Publications
Selected publications
- Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network (Journal article - 2017)
2024
Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.
Li, X., Xu, S., Yang, Y., Yuan, H., Cheng, G., Tong, Y., . . . Tao, D. (2024). Panoptic-PartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation.. IEEE transactions on pattern analysis and machine intelligence, PP. doi:10.1109/tpami.2024.3453916
SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales
Zhang, J., Wu, F., Jiang, H., Cheng, G., Chen, G., & Wang, Q. (2024). SyncMalloc: A Synchronized Host-Device Co-Management System for GPU Dynamic Memory Allocation across All Scales. In Proceedings of the 53rd International Conference on Parallel Processing (pp. 179-188). ACM. doi:10.1145/3673038.3673069
Transformer-Based Visual Segmentation: A Survey.
Li, X., Ding, H., Yuan, H., Zhang, W., Pang, J., Cheng, G., . . . Loy, C. C. (2024). Transformer-Based Visual Segmentation: A Survey.. IEEE transactions on pattern analysis and machine intelligence, PP. doi:10.1109/tpami.2024.3434373
Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review
Cheng, G., Huang, Y., Li, X., Lyu, S., Xu, Z., Zhao, H., . . . Xiang, S. (n.d.). Change Detection Methods for Remote Sensing in the Last Decade: A Comprehensive Review. Remote Sensing, 16(13), 2355. doi:10.3390/rs16132355
WEA-DINO: An Improved DINO With Word Embedding Alignment for Remote Scene Zero-Shot Object Detection
Wang, G., Zhao, H., Chang, Q., Lyu, S., Cheng, G., & Chen, H. (2024). WEA-DINO: An Improved DINO With Word Embedding Alignment for Remote Scene Zero-Shot Object Detection. IEEE Geoscience and Remote Sensing Letters, 21, 1-5. doi:10.1109/lgrs.2024.3408875
MSTF: Multiscale Transformer for Incomplete Trajectory Prediction
Liu, Z., Li, C., Yang, N., Wang, Y., Ma, J., Cheng, G., & Zhao, X. (2024). MSTF: Multiscale Transformer for Incomplete Trajectory Prediction. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 573-580). IEEE. doi:10.1109/iv55156.2024.10588771
OV-VG: A benchmark for open-vocabulary visual grounding
Wang, C., Feng, W., Li, X., Cheng, G., Lyu, S., Liu, B., . . . Zhao, Q. (2024). OV-VG: A benchmark for open-vocabulary visual grounding. Neurocomputing, 591, 127738. doi:10.1016/j.neucom.2024.127738
Learn by Oneself: Exploiting Weight-Sharing Potential in Knowledge Distillation Guided Ensemble Network
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
Self-training guided disentangled adaptation for cross-domain remote sensing image semantic segmentation
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
Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow
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
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
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
A Masked Reference Token Supervision based Iterative Visual-language Framework for Robust Visual Grounding
Wang, C., Feng, W., Lyu, S., Cheng, G., Li, X., Liu, B., & Zhao, Q. (2024). A Masked Reference Token Supervision based Iterative Visual-language Framework for Robust Visual Grounding. IEEE Transactions on Circuits and Systems for Video Technology, 1. doi:10.1109/tcsvt.2024.3452418
SWIN-TOD: Smooth Wasserstein Distance and Instance-level Neighboring Enhancement for Remote Sensing Tiny Object Detection
Wang, G., Zhao, H., Lyu, S., Cheng, G., Chang, Q., Feng, W., . . . Shi, Z. (2024). SWIN-TOD: Smooth Wasserstein Distance and Instance-level Neighboring Enhancement for Remote Sensing Tiny Object Detection. IEEE Transactions on Geoscience and Remote Sensing, 1. doi:10.1109/tgrs.2024.3452010
2023
Decision Boundary Optimization for Few-shot Class-Incremental Learning
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) Vol. 2 (pp. 3493-3503). IEEE. doi:10.1109/iccvw60793.2023.00376
Iterative Robust Visual Grounding with Masked Reference based Centerpoint Supervision
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) (pp. 4653-4658). IEEE. doi:10.1109/iccvw60793.2023.00501
Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation
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
TransVOD: End-to-End Video Object Detection With Spatial-Temporal Transformers
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
Improving Video Instance Segmentation via Temporal Pyramid Routing
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
IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM
Cheng, G., & Wang, K. (n.d.). IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM.
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
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
Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation
2022
Query Learning of Both Thing and Stuff for Panoptic Segmentation
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) (pp. 716-720). IEEE. doi:10.1109/icip46576.2022.9897546
DMT: Dynamic mutual training for semi-supervised learning
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
Uncertainty-aware consistency regularization for cross-domain semantic segmentation
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
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
SFNet: Faster and Accurate Semantic Segmentation via Semantic Flow
Method and apparatus for generating road map, electronic device, and computer storage medium
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
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
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation
IMAGE PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER READABLE STORAGE MEDIUM
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
Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition
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
Multi-level Domain Adaptation for Lane Detection
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) Vol. 3 (pp. 4379-4388). IEEE. doi:10.1109/cvprw56347.2022.00484
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
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
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation
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
Reconstruct from Top View: A 3D Lane Detection Approach based on Geometry Structure Prior
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
Spatio-Temporal Fusion-based Monocular 3D Lane Detection
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
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
2021
PolyphonicFormer: Unified Query Learning for Depth-aware Video Panoptic Segmentation
End-to-End Video Object Detection with Spatial-Temporal Transformers
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
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
Embedded Knowledge Distillation in Depth-Level Dynamic Neural Network
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
Cheng, G., Shi, J., & Lyu, S. (2021, August 10). KR20210098515A, 표적 검출, 지능형 주행 방법, 장치, 디바이스 및 저장매체.
Context-Aware Mixup for Domain Adaptive Semantic Segmentation
Global Aggregation then Local Distribution for Scene Parsing
Improving Video Instance Segmentation via Temporal Pyramid Routing
이미지 처리 방법, 장치, 지능형 주행 시스템 및 차량 탑재 연산 플랫폼
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
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
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
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
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
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
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
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
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
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
Lin, P., Cheng, G., & Shi, J. (2021, April 29). US20210124974A1, METHOD, APPARATUS, AND DEVICE FOR PROCESSING IMAGE AND STORAGE MEDIUM.
LANE LINE ATTRIBUTE DETECTION
Zhang, Y., Lin, P., Cheng, G., & Shi, J. (2021, April 22). US20210117700A1, LANE LINE ATTRIBUTE DETECTION.
이미지 처리 방법, 장치, 디바이스 및 기록 매체
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
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
INTELLIGENT DRIVING CONTRL METHOD AND APPARATUS, AND COMPUTER STORAGE MEDIUM
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
Shi, J., Cheng, G., & Lin, P. (2021, February 25). WO2021031540A1, IMAGE PROCESSING METHOD, APPARATUS, AND DEVICE, AND STORAGE MEDIUM.
차선 속성 검출
Cheng, G., Lin, P., Shi, J., & Zhang, Y. (2021, February 17). KR20210018493A, 차선 속성 검출.
지능형 주행 제어 방법 및 장치, 전자 기기
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
Shi, J., & Cheng, G. (2021, January 28). SG11202011767QA, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.
LANE LINE ATTRIBUTE DETECTION
Shi, J., Cheng, G., Zhang, Y., & Lin, P. (2021, January 28). SG11202013052UA, LANE LINE ATTRIBUTE DETECTION.
Enhanced Boundary Learning for Glass-like Object Segmentation
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) (pp. 15839-15848). IEEE. doi:10.1109/iccv48922.2021.01556
Global Aggregation Then Local Distribution for Scene Parsing.
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
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation
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) Vol. 40 (pp. 8741-8750). IEEE. doi:10.1109/iccv48922.2021.00864
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation
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
Towards Efficient Scene Understanding via Squeeze Reasoning
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
2020
INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE
Shi, J., & Cheng, G. (2020, December 24). WO2020252971A1, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.
Towards Efficient Scene Understanding via Squeeze Reasoning
LANE LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE
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
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
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
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
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
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
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) (pp. 2909-2918). IEEE. doi:10.1109/cvprw50498.2020.00348
LANE LINE DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND READABLE STORAGE MEDIUM
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
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
Cheng, G., Shi, J., & Zhuang, P. (2020, May 22). WO2020098708A1, LANE LINE DETECTION METHOD AND APPARATUS, DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE.
Uncertainty-Aware Consistency Regularization for Cross-Domain Semantic Segmentation
DMT: Dynamic Mutual Training for Semi-Supervised Learning
INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM
Cheng, G., & Shi, J. (2020, February 27). WO2020038091A1, INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, ELECTRONIC DEVICE, PROGRAM AND MEDIUM.
LANE LINE PROPERTY DETECTION
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
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
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
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
Graph-Guided Architecture Search for Real-Time Semantic Segmentation
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
Improving Semantic Segmentation via Decoupled Body and Edge Supervision
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
Search What You Want: Barrier Panelty NAS for Mixed Precision Quantization
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
2019
LANE-LINE-BASED INTELLIGENT DRIVING CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICE
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
Shi, J., & Cheng, G. (2019, November 28). SG11201909743QA, METHOD AND APPARATUS FOR GENERATING ROAD MAP, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM.
Recognizing road from satellite images by structured neural network
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
GDRQ: Group-based Distribution Reshaping for Quantization
ROAD MAP GENERATING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER STORAGE MEDIUM
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
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
Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network
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
SeNet: Structured Edge Network for Sea–Land Segmentation
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
2016
Semantic Segmentation with Modified Deep Residual Networks
Chen, X., Cheng, G., Cai, Y., Wen, D., & Li, H. (2016). Semantic Segmentation with Modified Deep Residual Networks. In Unknown Conference (pp. 42-54). Springer Singapore. doi:10.1007/978-981-10-3005-5_4
Fast Aircraft Detection Using End-to-End Fully Convolutional Network
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
Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting
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
Building extraction from multi-source remote sensing images via deep deconvolution neural networks
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
Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression
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
Semisupervised Hyperspectral Image Classification via Discriminant Analysis and Robust Regression
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
2015
Road extraction via adaptive graph cuts with multiple features
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) Vol. 11 (pp. 3962-3966). IEEE. doi:10.1109/icip.2015.7351549
2014
Urban road extraction via graph cuts based probability propagation
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) Vol. 2 (pp. 5072-5076). IEEE. doi:10.1109/icip.2014.7026027