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2020 – today
- 2023
[i73]Yu Chen, Zihao Yu, Shu Song, Tianning Yu, Jianming Li, Gim Hee Lee:
AdaSfM: From Coarse Global to Fine Incremental Adaptive Structure from Motion. CoRR abs/2301.12135 (2023)- [i72]Hao Yang, Lanqing Hong, Aoxue Li, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Liwei Wang:
ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning. CoRR abs/2303.11052 (2023) - [i71]Zhiwen Yan, Chen Li, Gim Hee Lee:
NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects. CoRR abs/2303.14435 (2023) - [i70]Yu Chen, Gim Hee Lee:
DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields. CoRR abs/2303.14478 (2023) - [i69]Chen Li, Gim Hee Lee:
ScarceNet: Animal Pose Estimation with Scarce Annotations. CoRR abs/2303.15023 (2023) - [i68]Ziwei Yu, Chen Li, Linlin Yang, Xiaoxu Zheng, Michael Bi Mi, Gim Hee Lee, Angela Yao:
Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction. CoRR abs/2305.00646 (2023) - [i67]Yuyang Zhao, Enze Xie, Lanqing Hong, Zhenguo Li, Gim Hee Lee:
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts. CoRR abs/2305.08850 (2023) - [i66]Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu:
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR abs/2305.11031 (2023) - [i65]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. CoRR abs/2305.12833 (2023) - [i64]Zhiwen Yan, Chen Li, Gim Hee Lee:
OD-NeRF: Efficient Training of On-the-Fly Dynamic Neural Radiance Fields. CoRR abs/2305.14831 (2023) - 2022
- [j10]Xiaogang Wang
, Marcelo H. Ang, Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion With Self-Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8139-8150 (2022) - [j9]Yuyang Zhao, Zhun Zhong, Zhiming Luo, Gim Hee Lee, Nicu Sebe:
Source-Free Open Compound Domain Adaptation in Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 32(10): 7019-7032 (2022) - [c80]Na Zhao, Gim Hee Lee:
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection. AAAI 2022: 3436-3445 - [c79]Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee:
Novel Class Discovery in Semantic Segmentation. CVPR 2022: 4330-4339 - [c78]Zi Jian Yew, Gim Hee Lee:
REGTR: End-to-end Point Cloud Correspondences with Transformers. CVPR 2022: 6667-6676 - [c77]Weng Fei Low, Gim Hee Lee:
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion. ECCV (2) 2022: 465-481 - [c76]Conghui Hu, Gim Hee Lee:
Feature Representation Learning for Unsupervised Cross-Domain Image Retrieval. ECCV (37) 2022: 529-544 - [c75]Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee:
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. ECCV (28) 2022: 535-552 - [c74]Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Minjian Zhao, Gim Hee Lee:
Rethinking IoU-based Optimization for Single-stage 3D Object Detection. ECCV (9) 2022: 544-561 - [c73]Tohar Lukov, Na Zhao, Gim Hee Lee, Ser-Nam Lim:
Teaching with Soft Label Smoothing for Mitigating Noisy Labels in Facial Expressions. ECCV (12) 2022: 648-665 - [c72]Zhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe:
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation. NeurIPS 2022 - [i63]Meng Tian, Gim Hee Lee:
Weakly Supervised Learning of Keypoints for 6D Object Pose Estimation. CoRR abs/2203.03498 (2022) - [i62]Zi Jian Yew, Gim Hee Lee:
REGTR: End-to-end Point Cloud Correspondences with Transformers. CoRR abs/2203.14517 (2022) - [i61]Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee:
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation. CoRR abs/2204.02548 (2022) - [i60]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Incremental-DETR: Incremental Few-Shot Object Detection via Self-Supervised Learning. CoRR abs/2205.04042 (2022) - [i59]Kennard Ng, Ser-Nam Lim, Gim Hee Lee:
VRAG: Region Attention Graphs for Content-Based Video Retrieval. CoRR abs/2205.09068 (2022) - [i58]Can Zhang, Gim Hee Lee:
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement. CoRR abs/2205.13579 (2022) - [i57]Zhun Zhong, Yuyang Zhao, Gim Hee Lee, Nicu Sebe:
Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation. CoRR abs/2207.04892 (2022) - [i56]Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao, Gim Hee Lee:
Rethinking IoU-based Optimization for Single-stage 3D Object Detection. CoRR abs/2207.09332 (2022) - [i55]Conghui Hu, Gim Hee Lee:
Feature Representation Learning for Unsupervised Cross-domain Image Retrieval. CoRR abs/2207.09721 (2022) - [i54]Weng Fei Low, Gim Hee Lee:
Minimal Neural Atlas: Parameterizing Complex Surfaces with Minimal Charts and Distortion. CoRR abs/2207.14782 (2022) - [i53]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Open World DETR: Transformer based Open World Object Detection. CoRR abs/2212.02969 (2022) - [i52]Yuyang Zhao, Na Zhao, Gim Hee Lee:
Synthetic-to-Real Domain Generalized Semantic Segmentation for 3D Indoor Point Clouds. CoRR abs/2212.04668 (2022) - [i51]Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee:
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization. CoRR abs/2212.09068 (2022) - [i50]Mengqi Guo, Chen Li, Gim Hee Lee:
Incremental Learning for Neural Radiance Field with Uncertainty-Filtered Knowledge Distillation. CoRR abs/2212.10950 (2022) - 2021
- [c71]Zi Jian Yew, Gim Hee Lee:
Learning Iterative Robust Transformation Synchronization. 3DV 2021: 1206-1215 - [c70]Chen Li, Gim Hee Lee:
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation. CVPR 2021: 1482-1491 - [c69]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-Shot 3D Point Cloud Semantic Segmentation. CVPR 2021: 8873-8882 - [c68]Jiahao Lin, Gim Hee Lee:
Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo. CVPR 2021: 11886-11895 - [c67]Jiaxin Li, Gim Hee Lee:
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CVPR 2021: 15960-15969 - [c66]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. ICCV 2021: 12558-12568 - [c65]Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Voxel-based Network for Shape Completion by Leveraging Edge Generation. ICCV 2021: 13169-13178 - [c64]Bo Li, Qili Wang, Gim Hee Lee:
FILTRA: Rethinking Steerable CNN by Filter Transform. ICML 2021: 6515-6522 - [c63]Jiahao Lin, Gim Hee Lee:
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping. ICRA 2021: 4230-4236 - [c62]Zi Jian Yew, Gim Hee Lee:
City-scale Scene Change Detection using Point Clouds. ICRA 2021: 13362-13369 - [c61]Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun:
A General Framework for Lifelong Localization and Mapping in Changing Environment. IROS 2021: 3305-3312 - [c60]Chen Li, Gim Hee Lee:
Coarse-to-fine Animal Pose and Shape Estimation. NeurIPS 2021: 11757-11768 - [c59]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. NeurIPS 2021: 30492-30503 - [i49]Zi Jian Yew, Gim Hee Lee:
City-scale Scene Change Detection using Point Clouds. CoRR abs/2103.14314 (2021) - [i48]Chen Li, Gim Hee Lee:
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation. CoRR abs/2103.14843 (2021) - [i47]Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee:
NeMI: Unifying Neural Radiance Fields with Multiplane Images for Novel View Synthesis. CoRR abs/2103.14910 (2021) - [i46]Jiahao Lin, Gim Hee Lee:
Multi-View Multi-Person 3D Pose Estimation with Plane Sweep Stereo. CoRR abs/2104.02273 (2021) - [i45]Jiahao Lin, Gim Hee Lee:
Learning Spatial Context with Graph Neural Network for Multi-Person Pose Grouping. CoRR abs/2104.02385 (2021) - [i44]Jiaxin Li, Gim Hee Lee:
DeepI2P: Image-to-Point Cloud Registration via Deep Classification. CoRR abs/2104.03501 (2021) - [i43]Bo Li, Qili Wang, Gim Hee Lee:
FILTRA: Rethinking Steerable CNN by Filter Transform. CoRR abs/2105.11636 (2021) - [i42]Yuyang Zhao, Zhun Zhong, Zhiming Luo, Gim Hee Lee, Nicu Sebe:
Source-Free Open Compound Domain Adaptation in Semantic Segmentation. CoRR abs/2106.03422 (2021) - [i41]Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Voxel-based Network for Shape Completion by Leveraging Edge Generation. CoRR abs/2108.09936 (2021) - [i40]Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee:
Bridging Non Co-occurrence with Unlabeled In-the-wild Data for Incremental Object Detection. CoRR abs/2110.15017 (2021) - [i39]Zi Jian Yew, Gim Hee Lee:
Learning Iterative Robust Transformation Synchronization. CoRR abs/2111.00728 (2021) - [i38]Chen Li, Gim Hee Lee:
Coarse-to-fine Animal Pose and Shape Estimation. CoRR abs/2111.08176 (2021) - [i37]Min Zhao, Xin Guo, Le Song, Baoxing Qin, Xuesong Shi, Gim Hee Lee, Guanghui Sun:
A General Framework for Lifelong Localization and Mapping in Changing Environment. CoRR abs/2111.10946 (2021) - [i36]Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee:
Novel Class Discovery in Semantic Segmentation. CoRR abs/2112.01900 (2021) - [i35]Na Zhao, Gim Hee Lee:
Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection. CoRR abs/2112.07241 (2021) - 2020
- [j8]Sixing Hu, Gim Hee Lee:
Image-Based Geo-Localization Using Satellite Imagery. Int. J. Comput. Vis. 128(5): 1205-1219 (2020) - [c58]Chen Li, Gim Hee Lee:
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses. BMVC 2020 - [c57]Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion. CVPR 2020: 787-796 - [c56]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084 - [c55]Zi Jian Yew, Gim Hee Lee:
RPM-Net: Robust Point Matching Using Learned Features. CVPR 2020: 11821-11830 - [c54]Xun Xu, Gim Hee Lee:
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10× Fewer Labels. CVPR 2020: 13703-13712 - [c53]Bo Li, Evgeniy V. Martyushev, Gim Hee Lee:
Relative Pose Estimation of Calibrated Cameras with Known $\mathrm {SE}(3)$ Invariants. ECCV (9) 2020: 215-231 - [c52]Meng Tian, Marcelo H. Ang, Gim Hee Lee:
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation. ECCV (21) 2020: 530-546 - [c51]He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory S. Chirikjian:
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-view Geometry. ECCV (3) 2020: 541-557 - [c50]Jiahao Lin, Gim Hee Lee:
HDNet: Human Depth Estimation for Multi-person Camera-Space Localization. ECCV (18) 2020: 633-648 - [c49]Shen Li, Bryan Hooi, Gim Hee Lee:
Identifying through Flows for Recovering Latent Representations. ICLR 2020 - [c48]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. ICPR 2020: 723-730 - [c47]Liang Pan, Chee-Meng Chew, Gim Hee Lee:
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Point Atrous Convolution for Unorganized 3D Points. ICRA 2020: 1113-1120 - [c46]Meng Tian, Liang Pan, Marcelo H. Ang, Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. ICRA 2020: 6218-6224 - [c45]Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee:
Point Cloud Completion by Learning Shape Priors. IROS 2020: 10719-10726 - [i34]Meng Tian, Liang Pan, Marcelo H. Ang Jr., Gim Hee Lee:
Robust 6D Object Pose Estimation by Learning RGB-D Features. CoRR abs/2003.00188 (2020) - [i33]Zi Jian Yew, Gim Hee Lee:
RPM-Net: Robust Point Matching using Learned Features. CoRR abs/2003.13479 (2020) - [i32]Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Cascaded Refinement Network for Point Cloud Completion. CoRR abs/2004.03327 (2020) - [i31]Xun Xu, Gim Hee Lee:
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10X Fewer Labels. CoRR abs/2004.04091 (2020) - [i30]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2006.12052 (2020) - [i29]Bo Li, Evgeniy V. Martyushev, Gim Hee Lee:
Relative Pose Estimation of Calibrated Cameras with Known SE(3) Invariants. CoRR abs/2007.07686 (2020) - [i28]Meng Tian, Marcelo H. Ang Jr., Gim Hee Lee:
Shape Prior Deformation for Categorical 6D Object Pose and Size Estimation. CoRR abs/2007.08454 (2020) - [i27]Jiahao Lin, Gim Hee Lee:
HDNet: Human Depth Estimation for Multi-Person Camera-Space Localization. CoRR abs/2007.08943 (2020) - [i26]He Chen, Pengfei Guo, Pengfei Li, Gim Hee Lee, Gregory S. Chirikjian:
Multi-person 3D Pose Estimation in Crowded Scenes Based on Multi-View Geometry. CoRR abs/2007.10986 (2020) - [i25]Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
Point Cloud Completion by Learning Shape Priors. CoRR abs/2008.00394 (2020) - [i24]Chen Li, Gim Hee Lee:
Weakly Supervised Generative Network for Multiple 3D Human Pose Hypotheses. CoRR abs/2008.05770 (2020) - [i23]Xiaogang Wang, Marcelo H. Ang Jr., Gim Hee Lee:
A Self-supervised Cascaded Refinement Network for Point Cloud Completion. CoRR abs/2010.08719 (2020)
2010 – 2019
- 2019
- [c44]Jiahao Lin, Gim Hee Lee:
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation. BMVC 2019: 101 - [c43]Ziquan Lan, Zi Jian Yew, Gim Hee Lee:
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes. CVPR 2019: 9690-9698 - [c42]Chen Li, Gim Hee Lee:
Generating Multiple Hypotheses for 3D Human Pose Estimation With Mixture Density Network. CVPR 2019: 9887-9895 - [c41]Jiaxin Li, Gim Hee Lee:
USIP: Unsupervised Stable Interest Point Detection From 3D Point Clouds. ICCV 2019: 361-370 - [c40]Yew Siang Tang, Gim Hee Lee:
Transferable Semi-Supervised 3D Object Detection From RGB-D Data. ICCV 2019: 1931-1940 - [c39]Lionel Heng, Benjamin Choi, Zhaopeng Cui, Marcel Geppert, Sixing Hu, Benson Kuan, Peidong Liu, Rang M. H. Nguyen, Ye Chuan Yeo, Andreas Geiger, Gim Hee Lee, Marc Pollefeys, Torsten Sattler:
Project AutoVision: Localization and 3D Scene Perception for an Autonomous Vehicle with a Multi-Camera System. ICRA 2019: 4695-4702 - [c38]Mengdan Feng, Sixing Hu, Marcelo H. Ang, Gim Hee Lee:
2D3D-Matchnet: Learning To Match Keypoints Across 2D Image And 3D Point Cloud. ICRA 2019: 4790-4796 - [c37]Jiaxin Li, Yingcai Bi, Gim Hee Lee:
Discrete Rotation Equivariance for Point Cloud Recognition. ICRA 2019: 7269-7275 - [c36]Bingbing Zhuang, Quoc-Huy Tran, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. IROS 2019: 3766-3773 - [c35]Mengdan Feng, Marcelo H. Ang, Gim Hee Lee:
Learning Low-Rank Images for Robust All-Day Feature Matching. IV 2019: 404-409 - [i22]Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing In Translation Averaging. CoRR abs/1901.00643 (2019) - [i21]Sixing Hu, Gim Hee Lee:
Image-Based Geo-Localization Using Satellite Imagery. CoRR abs/1903.00159 (2019) - [i20]Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Rolling-Shutter-Aware Differential SfM and Image Rectification. CoRR abs/1903.03943 (2019) - [i19]Jiaxin Li, Gim Hee Lee:
USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds. CoRR abs/1904.00229 (2019) - [i18]Jiaxin Li, Yingcai Bi, Gim Hee Lee:
Discrete Rotation Equivariance for Point Cloud Recognition. CoRR abs/1904.00319 (2019) - [i17]Chen Li, Gim Hee Lee:
Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network. CoRR abs/1904.05547 (2019) - [i16]Mengdan Feng, Sixing Hu, Marcelo H. Ang, Gim Hee Lee:
2D3D-MatchNet: Learning to Match Keypoints Across 2D Image and 3D Point Cloud. CoRR abs/1904.09742 (2019) - [i15]Yew Siang Tang, Gim Hee Lee:
Transferable Semi-supervised 3D Object Detection from RGB-D Data. CoRR abs/1904.10300 (2019) - [i14]Ziquan Lan, Zi Jian Yew, Gim Hee Lee:
Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes. CoRR abs/1905.09634 (2019) - [i13]Liang Pan, Chee-Meng Chew, Gim Hee Lee:
PointAtrousGraph: Deep Hierarchical Encoder-Decoder with Atrous Convolution for Point Clouds. CoRR abs/1907.09798 (2019) - [i12]Bingbing Zhuang, Quoc-Huy Tran, Pan Ji, Gim Hee Lee, Loong Fah Cheong, Manmohan Chandraker:
Degeneracy in Self-Calibration Revisited and a Deep Learning Solution for Uncalibrated SLAM. CoRR abs/1907.13185 (2019) - [i11]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. CoRR abs/1908.05425 (2019) - [i10]Jiahao Lin, Gim Hee Lee:
Trajectory Space Factorization for Deep Video-Based 3D Human Pose Estimation. CoRR abs/1908.08289 (2019) - [i9]Shen Li, Bryan Hooi, Gim Hee Lee:
Identifying through Flows for Recovering Latent Representations. CoRR abs/1909.12555 (2019) - [i8]Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CoRR abs/1912.11803 (2019) - 2018
- [c34]Mikaela Angelina Uy, Gim Hee Lee:
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition. CVPR 2018: 4470-4479 - [c33]Bingbing Zhuang, Loong-Fah Cheong, Gim Hee Lee:
Baseline Desensitizing in Translation Averaging. CVPR 2018: 4539-4547 - [c32]Ziquan Lan, David Hsu, Gim Hee Lee:
Solving the Perspective-2-Point Problem for Flying-Camera Photo Composition. CVPR 2018: 4588-4596 - [c31]Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee:
Convolutional Sequence to Sequence Model for Human Dynamics. CVPR 2018: 5226-5234 - [c30]Sixing Hu, Mengdan Feng, Rang M. H. Nguyen, Gim Hee Lee:
CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization. CVPR 2018: 7258-7267 - [c29]Jiaxin Li, Ben M. Chen, Gim Hee Lee:
SO-Net: Self-Organizing Network for Point Cloud Analysis. CVPR 2018: 9397-9406 - [c28]