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Junyu Gao 0001
Person information
- affiliation: Northwestern Polytechnical University, OPTIMAL, Xi'an, China
Other persons with the same name
- Junyu Gao 0002 — Chinese Academy of Sciences, Institute of Automation, National Lab of Pattern Recognition, Beijing, China (and 1 more)
- Junyu Gao 0003 — Xi'an Jiaotong University, MOE KLINNS, School of Electronic and Information Engineering, China
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2020 – today
- 2025
- [j40]Yuan Yuan, Haojie Guo, Junyu Gao:
Distance-aware network for physical-world object distribution estimation and counting. Pattern Recognit. 157: 110896 (2025) - 2024
- [j39]Qing Zhou, Junyu Gao, Yuan Yuan, Qi Wang:
RRTrN: A lightweight and effective backbone for scene text recognition. Expert Syst. Appl. 243: 122769 (2024) - [j38]Da Zhang, Junyu Gao, Xuelong Li:
Multivariate time series classification with crucial timestamps guidance. Expert Syst. Appl. 255: 124591 (2024) - [j37]Junyu Gao, Hao Yang, Maoguo Gong, Xuelong Li:
Audio-visual representation learning for anomaly events detection in crowds. Neurocomputing 582: 127489 (2024) - [j36]Benhui Zhang, Junyu Gao, Yuan Yuan:
Center-enhanced video captioning model with multimodal semantic alignment. Neural Networks 180: 106744 (2024) - [j35]Liangliang Zhao, Junyu Gao, Donghu Deng, Xuelong Li:
SSIR: Spatial shuffle multi-head self-attention for Single Image Super-Resolution. Pattern Recognit. 148: 110195 (2024) - [j34]Da Zhang, Junyu Gao, Xuelong Li:
Learning Long-Range Relationships for Temporal Aircraft Anomaly Detection. IEEE Trans. Aerosp. Electron. Syst. 60(5): 6385-6395 (2024) - [j33]Junyu Gao, Liangliang Zhao, Xuelong Li:
NWPU-MOC: A Benchmark for Fine-Grained Multicategory Object Counting in Aerial Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j32]Haojie Guo, Junyu Gao, Yuan Yuan:
Balanced Density Regression Network for Remote Sensing Object Counting. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j31]Zaiyi Hu, Junyu Gao, Yuan Yuan, Xuelong Li:
Contrastive Tokens and Label Activation for Remote Sensing Weakly Supervised Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j30]Xiaofeng Shi, Junyu Gao, Yuan Yuan:
Enhancing Unimodal Features Matters: A Multimodal Framework for Building Extraction. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j29]Xu Sun, Junyu Gao, Yuan Yuan:
Alignment and Fusion Using Distinct Sensor Data for Multimodal Aerial Scene Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j28]Qing Zhou, Junyu Gao, Yuan Yuan, Qi Wang:
Single-Stream Extractor Network With Contrastive Pre-Training for Remote-Sensing Change Captioning. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j27]Haoxuan Ding, Junyu Gao, Yuan Yuan, Qi Wang:
FF-LPD: A Real-Time Frame-by-Frame License Plate Detector With Knowledge Distillation and Feature Propagation. IEEE Trans. Image Process. 33: 3893-3906 (2024) - [j26]Haoxuan Ding, Junyu Gao, Yuan Yuan, Qi Wang:
An End-to-End Contrastive License Plate Detector. IEEE Trans. Intell. Transp. Syst. 25(1): 503-516 (2024) - [j25]Xu Han, Junyu Gao, Yuan Yuan, Qi Wang:
Text kernel calculation for arbitrary shape text detection. Vis. Comput. 40(4): 2641-2654 (2024) - [c13]Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Kunlin Yang, Jun Hou, Shuai Yi, Shuai Zhang, Junyu Gao:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. AAAI 2024: 10989-10997 - [c12]Benhui Zhang, Junyu Gao, Yuan Yuan:
A Descriptive Basketball Highlight Dataset for Automatic Commentary Generation. ACM Multimedia 2024: 10316-10325 - [i43]Haoxuan Ding, Junyu Gao, Yuan Yuan, Qi Wang:
SamLP: A Customized Segment Anything Model for License Plate Detection. CoRR abs/2401.06374 (2024) - [i42]Junyu Gao, Liangliang Zhao, Xuelong Li:
NWPU-MOC: A Benchmark for Fine-grained Multi-category Object Counting in Aerial Images. CoRR abs/2401.10530 (2024) - [i41]Junyu Gao, Da Zhang, Xuelong Li:
Dynamic Proxy Domain Generalizes the Crowd Localization by Better Binary Segmentation. CoRR abs/2404.13992 (2024) - [i40]Yuyu Jia, Qing Zhou, Wei Huang, Junyu Gao, Qi Wang:
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text. CoRR abs/2405.12543 (2024) - [i39]Yuyu Jia, Wei Huang, Junyu Gao, Qi Wang, Qiang Li:
Embedding Generalized Semantic Knowledge into Few-Shot Remote Sensing Segmentation. CoRR abs/2405.13686 (2024) - [i38]Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li:
U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation. CoRR abs/2405.15365 (2024) - [i37]Qing Zhou, Junlin Huang, Qiang Li, Junyu Gao, Qi Wang:
Text-only Synthesis for Image Captioning. CoRR abs/2405.18258 (2024) - [i36]Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Xuelong Li:
StitchFusion: Weaving Any Visual Modalities to Enhance Multimodal Semantic Segmentation. CoRR abs/2408.01343 (2024) - [i35]Haoxuan Ding, Qi Wang, Junyu Gao, Qiang Li:
A Training-Free Framework for Video License Plate Tracking and Recognition with Only One-Shot. CoRR abs/2408.05729 (2024) - [i34]Bingyu Li, Da Zhang, Zhiyuan Zhao, Junyu Gao, Yuan Yuan:
Quantum-inspired Interpretable Deep Learning Architecture for Text Sentiment Analysis. CoRR abs/2408.07891 (2024) - [i33]Xu Han, Junyu Gao, Chuang Yang, Yuan Yuan, Qi Wang:
Spotlight Text Detector: Spotlight on Candidate Regions Like a Camera. CoRR abs/2409.16820 (2024) - [i32]Xu Han, Junyu Gao, Chuang Yang, Yuan Yuan, Qi Wang:
Focus Entirety and Perceive Environment for Arbitrary-Shaped Text Detection. CoRR abs/2409.16827 (2024) - 2023
- [j24]Liangliang Zhao, Junyu Gao, Xuelong Li:
NAS-Kernel: Learning Suitable Gaussian Kernel for Remote-Sensing Object Counting. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j23]Haoxuan Ding, Junyu Gao, Yuan Yuan, Qi Wang:
Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation. IEEE Trans. Circuits Syst. Video Technol. 33(8): 4204-4216 (2023) - [j22]Jingtao Hu, Junyu Gao, Yuan Yuan, Jocelyn Chanussot, Qi Wang:
LGNet: Location-Guided Network for Road Extraction From Satellite Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j21]Yuyu Jia, Junyu Gao, Wei Huang, Yuan Yuan, Qi Wang:
Exploring Hard Samples in Multiview for Few-Shot Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j20]Yuyu Jia, Junyu Gao, Wei Huang, Yuan Yuan, Qi Wang:
Holistic Mutual Representation Enhancement for Few-Shot Remote Sensing Segmentation. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j19]Juncheng Wang, Junyu Gao, Yuan Yuan, Qi Wang:
Crowd Localization From Gaussian Mixture Scoped Knowledge and Scoped Teacher. IEEE Trans. Image Process. 32: 1802-1814 (2023) - [j18]Junyu Gao, Tao Han, Yuan Yuan, Qi Wang:
Domain-Adaptive Crowd Counting via High-Quality Image Translation and Density Reconstruction. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4803-4815 (2023) - [i31]Hao Yang, Junyu Gao, Yuan Yuan, Xuelong Li:
Imbalanced Aircraft Data Anomaly Detection. CoRR abs/2305.10082 (2023) - [i30]Sikai Bai, Shuaicheng Li, Weiming Zhuang, Jie Zhang, Song Guo, Kunlin Yang, Jun Hou, Shuai Zhang, Junyu Gao, Shuai Yi:
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators. CoRR abs/2307.05358 (2023) - 2022
- [j17]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested crowd instance localization with dilated convolutional swin transformer. Neurocomputing 513: 94-103 (2022) - [j16]Junyu Gao, Maoguo Gong, Xuelong Li:
Global Multi-Scale Information Fusion for Multi-Class Object Counting in Remote Sensing Images. Remote. Sens. 14(16): 4026 (2022) - [j15]Qi Wang, Wei Lin, Junyu Gao, Xuelong Li:
Density-Aware Curriculum Learning for Crowd Counting. IEEE Trans. Cybern. 52(6): 4675-4687 (2022) - [j14]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization With Multifocus Gaussian Neighborhood Attention and a Large-Scale Benchmark. IEEE Trans. Image Process. 31: 6032-6047 (2022) - [j13]Qi Wang, Tao Han, Zequn Qin, Junyu Gao, Xuelong Li:
Multitask Attention Network for Lane Detection and Fitting. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1066-1078 (2022) - [j12]Qi Wang, Tao Han, Junyu Gao, Yuan Yuan:
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3238-3250 (2022) - [c11]Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan:
Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. BMVC 2022: 313 - [c10]Tao Han, Lei Bai, Junyu Gao, Qi Wang, Wanli Ouyang:
DR.VIC: Decomposition and Reasoning for Video Individual Counting. CVPR 2022: 3073-3082 - [i29]Tao Han, Lei Bai, Junyu Gao, Qi Wang, Wanli Ouyang:
DR.VIC: Decomposition and Reasoning for Video Individual Counting. CoRR abs/2203.12335 (2022) - [i28]Juncheng Wang, Junyu Gao, Yuan Yuan, Qi Wang:
Crowd Localization from Gaussian Mixture Scoped Knowledge and Scoped Teacher. CoRR abs/2206.05717 (2022) - [i27]Pengyu Chen, Junyu Gao, Yuan Yuan, Qi Wang:
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting. CoRR abs/2208.06761 (2022) - [i26]Qi Wang, Juncheng Wang, Junyu Gao, Yuan Yuan, Xuelong Li:
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects. CoRR abs/2212.02248 (2022) - 2021
- [j11]Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Pixel-Wise Crowd Understanding via Synthetic Data. Int. J. Comput. Vis. 129(1): 225-245 (2021) - [j10]Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Learning to detect anomaly events in crowd scenes from synthetic data. Neurocomputing 436: 248-259 (2021) - [j9]Qi Wang, Junyu Gao, Wei Lin, Xuelong Li:
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization. IEEE Trans. Pattern Anal. Mach. Intell. 43(6): 2141-2149 (2021) - [j8]Junyu Gao, Yuan Yuan, Qi Wang:
Feature-Aware Adaptation and Density Alignment for Crowd Counting in Video Surveillance. IEEE Trans. Cybern. 51(10): 4822-4833 (2021) - [c9]Sikai Bai, Junyu Gao, Qi Wang, Xuelong Li:
Multi-Domain Synchronous Refinement Network for Unsupervised Cross-Domain Person Re-Identification. ICME 2021: 1-6 - [i25]Haopeng Li, Lingbo Liu, Kunlin Yang, Shinan Liu, Junyu Gao, Bin Zhao, Rui Zhang, Jun Hou:
Video Crowd Localization with Multi-focus Gaussian Neighbor Attention and a Large-Scale Benchmark. CoRR abs/2107.08645 (2021) - [i24]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. CoRR abs/2107.08766 (2021) - [i23]Junyu Gao, Maoguo Gong, Xuelong Li:
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer. CoRR abs/2108.00584 (2021) - [i22]Qi Wang, Sikai Bai, Junyu Gao, Yuan Yuan, Xuelong Li:
Unsupervised Domain Adaptive Learning via Synthetic Data for Person Re-identification. CoRR abs/2109.05542 (2021) - [i21]Qi Wang, Tao Han, Junyu Gao, Yuan Yuan, Xuelong Li:
LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds. CoRR abs/2110.04727 (2021) - [i20]Junyu Gao, Maoguo Gong, Xuelong Li:
Audio-visual Representation Learning for Anomaly Events Detection in Crowds. CoRR abs/2110.14862 (2021) - 2020
- [j7]Xuefeng Jiang, Yue Zhang, Wenbo Liu, Junyu Gao, Junrui Liu, Yanning Zhang, Jianzhe Lin:
Hyperspectral Image Classification With CapsNet and Markov Random Fields. IEEE Access 8: 191956-191968 (2020) - [j6]Junyu Gao, Qi Wang, Xuelong Li:
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network. IEEE Trans. Circuits Syst. Video Technol. 30(10): 3486-3498 (2020) - [c8]Songchenchen Gong, El-Bay Bourennane, Junyu Gao:
Multi-feature Counting of Dense Crowd Image Based on Multi-column Convolutional Neural Network. ICCCS 2020: 215-219 - [c7]Zhiyuan Zhao, Tao Han, Junyu Gao, Qi Wang, Xuelong Li:
A Flow Base Bi-path Network for Cross-Scene Video Crowd Understanding in Aerial View. ECCV Workshops (4) 2020: 574-587 - [c6]Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Máadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao:
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. ECCV Workshops (4) 2020: 675-691 - [c5]Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Focus on Semantic Consistency for Cross-Domain Crowd Understanding. ICASSP 2020: 1848-1852 - [c4]Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning For Super-Resolution. ICASSP 2020: 2538-2542 - [c3]Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning. NeurIPS 2020 - [i19]Qi Wang, Junyu Gao, Wei Lin, Xuelong Li:
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting. CoRR abs/2001.03360 (2020) - [i18]Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Focus on Semantic Consistency for Cross-domain Crowd Understanding. CoRR abs/2002.08623 (2020) - [i17]Wei Lin, Junyu Gao, Qi Wang, Xuelong Li:
Pixel-Level Self-Paced Learning for Super-Resolution. CoRR abs/2003.03113 (2020) - [i16]Guangshuai Gao, Junyu Gao, Qingjie Liu, Qi Wang, Yunhong Wang:
CNN-based Density Estimation and Crowd Counting: A Survey. CoRR abs/2003.12783 (2020) - [i15]Qi Wang, Tao Han, Junyu Gao, Yuan Yuan:
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. CoRR abs/2004.02133 (2020) - [i14]Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu:
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions. CoRR abs/2005.07097 (2020) - [i13]Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Pixel-wise Crowd Understanding via Synthetic Data. CoRR abs/2007.16032 (2020) - [i12]Zhiyuan Zhao, Tao Han, Junyu Gao, Qi Wang, Xuelong Li:
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View. CoRR abs/2009.13723 (2020) - [i11]Tao Han, Junyu Gao, Yuan Yuan, Qi Wang:
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning. CoRR abs/2010.05517 (2020) - [i10]Junyu Gao, Tao Han, Yuan Yuan, Qi Wang:
Learning Independent Instance Maps for Crowd Localization. CoRR abs/2012.04164 (2020)
2010 – 2019
- 2019
- [j5]Junyu Gao, Qi Wang, Yuan Yuan:
Convolutional Regression Network for Multi-Oriented Text Detection. IEEE Access 7: 96424-96433 (2019) - [j4]Junyu Gao, Qi Wang, Yuan Yuan:
SCAR: Spatial-/channel-wise attention regression networks for crowd counting. Neurocomputing 363: 1-8 (2019) - [j3]Qi Wang, Junyu Gao, Xuelong Li:
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes. IEEE Trans. Image Process. 28(9): 4376-4386 (2019) - [c2]Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Learning From Synthetic Data for Crowd Counting in the Wild. CVPR 2019: 8198-8207 - [i9]Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan:
Learning from Synthetic Data for Crowd Counting in the Wild. CoRR abs/1903.03303 (2019) - [i8]Qi Wang, Junyu Gao, Xuelong Li:
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes. CoRR abs/1904.09092 (2019) - [i7]Qi Wang, Junyu Gao, Yuan Yuan:
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling. CoRR abs/1905.01574 (2019) - [i6]Qi Wang, Junyu Gao, Yuan Yuan:
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection. CoRR abs/1905.01575 (2019) - [i5]Junyu Gao, Qi Wang, Xuelong Li:
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network. CoRR abs/1905.10085 (2019) - [i4]Junyu Gao, Wei Lin, Bin Zhao, Dong Wang, Chenyu Gao, Jun Wen:
C^3 Framework: An Open-source PyTorch Code for Crowd Counting. CoRR abs/1907.02724 (2019) - [i3]Junyu Gao, Qi Wang, Yuan Yuan:
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting. CoRR abs/1908.03716 (2019) - [i2]Junyu Gao, Qi Wang, Yuan Yuan:
Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance. CoRR abs/1912.03672 (2019) - [i1]Junyu Gao, Tao Han, Qi Wang, Yuan Yuan:
Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction. CoRR abs/1912.03677 (2019) - 2018
- [j2]Qi Wang, Junyu Gao, Yuan Yuan:
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection. IEEE Trans. Intell. Transp. Syst. 19(1): 230-241 (2018) - [j1]Qi Wang, Junyu Gao, Yuan Yuan:
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling. IEEE Trans. Intell. Transp. Syst. 19(5): 1457-1470 (2018) - 2017
- [c1]Junyu Gao, Qi Wang, Yuan Yuan:
Embedding structured contour and location prior in siamesed fully convolutional networks for road detection. ICRA 2017: 219-224
Coauthor Index
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