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2020 – today
- 2024
[j28]Yan Xu, Chaoda Zheng, Ying Xue, Zhen Li, Shuguang Cui
, Dengxin Dai:
Benchmarking the Robustness of LiDAR Semantic Segmentation Models. Int. J. Comput. Vis. 132(7): 2674-2697 (2024)- [j27]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 220-235 (2024) - [j26]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3955-3971 (2024) - [c88]Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Guisong Xia:
FreePoint: Unsupervised Point Cloud Instance Segmentation. CVPR 2024: 28254-28263 - [c87]Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) 2024: 329-346 - [c86]Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai:
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. ICRA 2024: 15440-15447 - [c85]Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV 2024: 7321-7330 - [i95]Xu Yan, Haiming Zhang, Yingjie Cai, Jingming Guo, Weichao Qiu, Bin Gao, Kaiqiang Zhou, Yue Zhao, Huan Jin, Jiantao Gao, Zhen Li, Lihui Jiang, Wei Zhang, Hongbo Zhang, Dengxin Dai, Bingbing Liu:
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. CoRR abs/2401.08045 (2024) - [i94]Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool:
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR abs/2408.16478 (2024) - [i93]Ke Li, Luc Van Gool, Dengxin Dai:
Test-time Training for Hyperspectral Image Super-resolution. CoRR abs/2409.08667 (2024) - 2023
- [j25]Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20(1): 92-108 (2023) - [j24]Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele:
Revisiting Consistency Regularization for Semi-Supervised Learning. Int. J. Comput. Vis. 131(3): 626-643 (2023) - [j23]Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. 131(8): 2070-2096 (2023) - [j22]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 123-136 (2023) - [j21]Ozan Unal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. 8(11): 7671-7678 (2023) - [c84]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. CVPR 2023: 1168-1178 - [c83]Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai:
Federated Incremental Semantic Segmentation. CVPR 2023: 3934-3943 - [c82]Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR 2023: 7225-7235 - [c81]Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR 2023: 11721-11732 - [c80]Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai:
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CVPR 2023: 15413-15423 - [c79]Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele:
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR 2023: 15434-15443 - [c78]Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele:
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. ICCV 2023: 16022-16032 - [c77]Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV 2023: 19177-19188 - [c76]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR 2023 - [c75]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023: 1522-1529 - [c74]Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai:
Test-time Domain Adaptation for Monocular Depth Estimation. ICRA 2023: 4873-4879 - [c73]Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai:
LiDAR Meta Depth Completion. IROS 2023: 7750-7756 - [c72]Tim Brödermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. ITSC 2023: 4159-4166 - [c71]Ke Li, Dengxin Dai, Luc Van Gool:
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV 2023: 6373-6383 - [i92]Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai:
Benchmarking the Robustness of LiDAR Semantic Segmentation Models. CoRR abs/2301.00970 (2023) - [i91]Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai:
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR abs/2302.00903 (2023) - [i90]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR abs/2303.04116 (2023) - [i89]Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai:
Federated Incremental Semantic Segmentation. CoRR abs/2304.04620 (2023) - [i88]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR abs/2304.13615 (2023) - [i87]Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool:
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR abs/2304.14291 (2023) - [i86]Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele:
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding. CoRR abs/2305.05026 (2023) - [i85]Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia:
FreePoint: Unsupervised Point Cloud Instance Segmentation. CoRR abs/2305.06973 (2023) - [i84]Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai:
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CoRR abs/2305.13031 (2023) - [i83]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR abs/2306.17770 (2023) - [i82]Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Dengxin Dai:
LiDAR Meta Depth Completion. CoRR abs/2307.12761 (2023) - [i81]Ozan Ünal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool:
Discwise Active Learning for LiDAR Semantic Segmentation. CoRR abs/2309.13276 (2023) - [i80]Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel:
U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. CoRR abs/2310.13766 (2023) - [i79]Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai:
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. CoRR abs/2311.05494 (2023) - [i78]Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele:
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. CoRR abs/2311.10572 (2023) - [i77]Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool:
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR abs/2311.15605 (2023) - 2022
- [j20]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3139-3153 (2022) - [j19]Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3614-3633 (2022) - [j18]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7(2): 738-745 (2022) - [j17]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7(2): 2242-2249 (2022) - [j16]Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool:
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7(2): 3640-3647 (2022) - [j15]Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7(2): 5103-5110 (2022) - [c70]Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CVPR 2022: 2687-2697 - [c69]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR 2022: 3971-3980 - [c68]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CVPR 2022: 7191-7201 - [c67]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Bi-level Alignment for Cross-Domain Crowd Counting. CVPR 2022: 7532-7540 - [c66]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CVPR 2022: 8801-8812 - [c65]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR 2022: 9914-9925 - [c64]Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai:
Decoupling Zero-Shot Semantic Segmentation. CVPR 2022: 11573-11582 - [c63]Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele:
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CVPR 2022: 14554-14564 - [c62]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR 2022: 14596-14606 - [c61]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR 2022: 16343-16353 - [c60]Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin:
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CVPR 2022: 18900-18909 - [c59]Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) 2022: 19-35 - [c58]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) 2022: 372-391 - [c57]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Class-Agnostic Object Counting Robust to Intraclass Diversity. ECCV (33) 2022: 388-403 - [c56]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS 2022 - [c55]Ke Li, Dengxin Dai, Luc Van Gool:
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV 2022: 4039-4048 - [i76]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR abs/2201.01046 (2022) - [i75]Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai:
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR abs/2201.03860 (2022) - [i74]Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool:
Adiabatic Quantum Computing for Multi Object Tracking. CoRR abs/2202.08837 (2022) - [i73]Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool:
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR abs/2202.13162 (2022) - [i72]Ozan Unal, Dengxin Dai, Luc Van Gool:
Scribble-Supervised LiDAR Semantic Segmentation. CoRR abs/2203.08537 (2022) - [i71]Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai:
Continual Test-Time Domain Adaptation. CoRR abs/2203.13591 (2022) - [i70]Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool:
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR abs/2203.15118 (2022) - [i69]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR abs/2204.13132 (2022) - [i68]Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele:
Bi-level Alignment for Cross-Domain Crowd Counting. CoRR abs/2205.05844 (2022) - [i67]Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR abs/2205.12853 (2022) - [i66]Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection. CoRR abs/2206.15157 (2022) - [i65]Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng:
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR abs/2208.08621 (2022) - [i64]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR abs/2209.10033 (2022) - [i63]Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele:
Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR abs/2209.13508 (2022) - [i62]Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai:
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR abs/2211.04393 (2022) - [i61]Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool:
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR abs/2212.01322 (2022) - [i60]Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool:
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. CoRR abs/2212.07292 (2022) - [i59]Clemens Linnhoff, Dominik Scheuble, Mario Bijelic, Lukas Elster, Philipp Rosenberger, Werner Ritter, Dengxin Dai, Hermann Winner:
Simulating Road Spray Effects in Automotive Lidar Sensor Models. CoRR abs/2212.08558 (2022) - 2021
- [j14]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129(1): 246-266 (2021) - [j13]Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool:
Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. 129(7): 2031-2033 (2021) - [j12]Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129(7): 2223-2243 (2021) - [j11]Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool:
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129(10): 2865-2888 (2021) - [c54]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. AAAI 2021: 1433-1441 - [c53]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS 2021: 3547-3555 - [c52]Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR 2021: 8344-8354 - [c51]Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR 2021: 11130-11140 - [c50]Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai:
Self-Aligned Video Deraining With Transmission-Depth Consistency. CVPR 2021: 11966-11976 - [c49]Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool:
Task Switching Network for Multi-task Learning. ICCV 2021: 8271-8280 - [c48]Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV 2021: 8495-8505 - [c47]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. ICCV 2021: 8856-8865 - [c46]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV 2021: 10745-10755 - [c45]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021: 15202-15212 - [c44]Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV 2021: 15263-15272 - [c43]Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. WACV 2021: 2949-2958 - [i58]Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool:
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR abs/2101.07589 (2021) - [i57]Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool:
Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR abs/2103.04217 (2021) - [i56]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool:
Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR abs/2104.11747 (2021) - [i55]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. CoRR abs/2104.13395 (2021) - [i54]Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool:
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2104.13613 (2021) - [i53]Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. CoRR abs/2108.05249 (2021) - [i52]Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool:
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR abs/2108.08265 (2021) - [i51]Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool:
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2108.12545 (2021) - [i50]Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool:
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR abs/2109.02763 (2021) - [i49]Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool:
TADA: Taxonomy Adaptive Domain Adaptation. CoRR abs/2109.04813 (2021) - [i48]Lukas Hoyer, Dengxin Dai, Luc Van Gool:
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR abs/2111.14887 (2021) - [i47]Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin:
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CoRR abs/2112.00484 (2021) - [i46]Yue Fan, Dengxin Dai, Bernt Schiele:
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CoRR abs/2112.04564 (2021) - [i45]Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai:
Decoupling Zero-Shot Semantic Segmentation. CoRR abs/2112.07910 (2021) - 2020
- [j10]Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. Int. J. Comput. Vis. 128(5): 1182-1204 (2020) - [j9]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. 5(4): 6813-6820 (2020) - [c42]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops 2020: 4326-4334 - [c41]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. ECCV (7) 2020: 175-192 - [c40]Wending Yan, Robby T. Tan, Dengxin Dai:
Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks. ECCV (12) 2020: 473-488 - [c39]Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai:
Weakly Supervised 3D Object Detection from Lidar Point Cloud. ECCV (13) 2020: 515-531 - [c38]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. ECCV (4) 2020: 638-655 - [c37]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. ICML 2020: 7392-7404 - [c36]Simon Hecker, Dengxin Dai, Alexander Liniger, Martin Hahner, Luc Van Gool:
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. IROS 2020: 2346-2353 - [c35]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. IROS 2020: 8982-8989 - [c34]Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. IROS 2020: 10233-10240 - [i44]Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool:
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR abs/2001.02613 (2020) - [i43]Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia:
Matching Neuromorphic Events and Color Images via Adversarial Learning. CoRR abs/2003.00636 (2020) - [i42]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. CoRR abs/2003.04210 (2020) - [i41]Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Quantifying Data Augmentation for LiDAR based 3D Object Detection. CoRR abs/2004.01643 (2020) - [i40]Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool:
Revisiting Multi-Task Learning in the Deep Learning Era. CoRR abs/2004.13379 (2020) - [i39]Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. CoRR abs/2004.14251 (2020) - [i38]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. CoRR abs/2005.14553 (2020) - [i37]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
Analogical Image Translation for Fog Generation. CoRR abs/2006.15618 (2020) - [i36]Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool:
T-Basis: a Compact Representation for Neural Networks. CoRR abs/2007.06631 (2020) - [i35]Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool:
Learning Accurate and Human-Like Driving using Semantic Maps and Attention. CoRR abs/2007.07218 (2020) - [i34]Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink:
Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. CoRR abs/2007.09180 (2020) - [i33]Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai:
Weakly Supervised 3D Object Detection from Lidar Point Cloud. CoRR abs/2007.11901 (2020) - [i32]Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall:
Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR abs/2008.09162 (2020) - [i31]Ozan Unal, Luc Van Gool, Dengxin Dai:
Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation. CoRR abs/2009.10569 (2020) - [i30]Juan-Ting Lin, Dengxin Dai, Luc Van Gool:
Depth Estimation from Monocular Images and Sparse Radar Data. CoRR abs/2010.00058 (2020) - [i29]Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool:
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CoRR abs/2012.08278 (2020) - [i28]Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool:
mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. CoRR abs/2012.08385 (2020) - [i27]Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool:
Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation. CoRR abs/2012.10782 (2020)
2010 – 2019
- 2019
- [j8]Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang:
Learning the Synthesizability of Dynamic Texture Samples. IEEE Trans. Image Process. 28(5): 2502-2517 (2019) - [c33]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. ICCV 2019: 7373-7382 - [c32]Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. ITSC 2019: 547-552 - [c31]Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool:
Learning a Curve Guardian for Motorcycles. ITSC 2019: 2984-2991 - [c30]Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. ITSC 2019: 3675-3681 - [c29]Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. IV 2019: 494-501 - [i26]Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool:
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. CoRR abs/1901.01415 (2019) - [i25]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation. CoRR abs/1901.05946 (2019) - [i24]Ankit Dhall, Dengxin Dai, Luc Van Gool:
Real-time 3D Traffic Cone Detection for Autonomous Driving. CoRR abs/1902.02394 (2019) - [i23]Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Accurate, Comfortable and Human-like Driving. CoRR abs/1903.10995 (2019) - [i22]Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool:
Learning a Curve Guardian for Motorcycles. CoRR abs/1907.05738 (2019) - [i21]Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool:
Texture Underfitting for Domain Adaptation. CoRR abs/1908.11215 (2019) - [i20]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. CoRR abs/1910.02029 (2019) - [i19]Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool:
Semantic Understanding of Foggy Scenes with Purely Synthetic Data. CoRR abs/1910.03997 (2019) - [i18]Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler:
Self-supervised Object Motion and Depth Estimation from Video. CoRR abs/1912.04250 (2019) - 2018
- [j7]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. Int. J. Comput. Vis. 126(9): 973-992 (2018) - [j6]Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool:
Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. IEEE Trans. Pattern Anal. Mach. Intell. 40(5): 1114-1127 (2018) - [c28]Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CVPR 2018: 3339-3348 - [c27]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos With Language and Human Gaze. CVPR 2018: 4129-4138 - [c26]Simon Hecker, Dengxin Dai, Luc Van Gool:
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. ECCV (7) 2018: 449-468 - [c25]Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. ECCV (13) 2018: 707-724 - [c24]Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang:
Delving into the Synthesizability of Dynamic Texture Samples. ICPR 2018: 2953-2958 - [c23]Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. ITSC 2018: 3819-3824 - [c22]Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. Intelligent Vehicles Symposium 2018: 1792-1799 - [c21]Arun Balajee Vasudevan, Dengxin Dai:
Object Referring in Visual Scene with Spoken Language. WACV 2018: 1861-1870 - [i17]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Videos with Language and Human Gaze. CoRR abs/1801.01582 (2018) - [i16]Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang:
Learning the Synthesizability of Dynamic Texture Samples. CoRR abs/1802.00941 (2018) - [i15]Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Domain Adaptive Faster R-CNN for Object Detection in the Wild. CoRR abs/1803.03243 (2018) - [i14]Simon Hecker, Dengxin Dai, Luc Van Gool:
Learning Driving Models with a Surround-View Camera System and a Route Planner. CoRR abs/1803.10158 (2018) - [i13]Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool:
Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. CoRR abs/1804.02201 (2018) - [i12]Simon Hecker, Dengxin Dai, Luc Van Gool:
Failure Prediction for Autonomous Driving. CoRR abs/1805.01811 (2018) - [i11]Mahdi Hajibabaei, Dengxin Dai:
Unified Hypersphere Embedding for Speaker Recognition. CoRR abs/1807.08312 (2018) - [i10]Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool:
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. CoRR abs/1808.01265 (2018) - [i9]Dengxin Dai, Luc Van Gool:
Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. CoRR abs/1810.02575 (2018) - 2017
- [c20]Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV 2017: 290-299 - [c19]Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. ICCV Workshops 2017: 2651-2657 - [c18]Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, András Bódis-Szomorú, Santiago Manén, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool:
VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks 2017: 48:1-48:2 - [i8]Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool:
PathTrack: Fast Trajectory Annotation with Path Supervision. CoRR abs/1703.02437 (2017) - [i7]Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc Van Gool:
Speech-Based Visual Question Answering. CoRR abs/1705.00464 (2017) - [i6]Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool:
Deep Domain Adaptation by Geodesic Distance Minimization. CoRR abs/1707.09842 (2017) - [i5]Christos Sakaridis, Dengxin Dai, Luc Van Gool:
Semantic Foggy Scene Understanding with Synthetic Data. CoRR abs/1708.07819 (2017) - [i4]Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Object Referring in Visual Scene with Spoken Language. CoRR abs/1711.03800 (2017) - 2016
- [b1]Dengxin Dai:
Towards Cost-Effective and Performance-Aware Vision Algorithms. ETH Zurich, Zürich, Switzerland, 2016 - [c17]Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool:
Scale-Aware Alignment of Hierarchical Image Segmentation. CVPR 2016: 364-372 - [c16]Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool:
Fast Algorithms for Linear and Kernel SVM+. CVPR 2016: 2258-2266 - [c15]Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow Using Dense Inverse Search. ECCV (4) 2016: 471-488 - [c14]Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool:
Is image super-resolution helpful for other vision tasks? WACV 2016: 1-9 - [c13]Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool:
Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure. WACV 2016: 1-9 - [i3]Dengxin Dai, Luc Van Gool:
Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering. CoRR abs/1602.00955 (2016) - [i2]Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool:
Fast Optical Flow using Dense Inverse Search. CoRR abs/1603.03590 (2016) - 2015
- [j5]Dengxin Dai, Radu Timofte, Luc Van Gool:
Jointly Optimized Regressors for Image Super-resolution. Comput. Graph. Forum 34(2): 95-104 (2015) - [c12]Till Kroeger, Dengxin Dai, Luc Van Gool:
Joint vanishing point extraction and tracking. CVPR 2015: 2449-2457 - [c11]Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool:
Metric imitation by manifold transfer for efficient vision applications. CVPR 2015: 3527-3536 - [c10]Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool:
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. WACV Workshops 2015: 63-70 - [i1]Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool:
How Useful Is Image Super-resolution to Other Vision Tasks? CoRR abs/1509.07009 (2015) - 2014
- [c9]Dengxin Dai, Hayko Riemenschneider, Luc Van Gool:
The Synthesizability of Texture Examples. CVPR 2014: 3027-3034 - [c8]Meng Yang, Dengxin Dai, Lilin Shen, Luc Van Gool:
Latent Dictionary Learning for Sparse Representation Based Classification. CVPR 2014: 4138-4145 - 2013
- [c7]Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool:
Example-Based Facade Texture Synthesis. ICCV 2013: 1065-1072 - [c6]Dengxin Dai, Luc Van Gool:
Ensemble Projection for Semi-supervised Image Classification. ICCV 2013: 2072-2079 - 2012
- [j4]Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia:
SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. IEEE Trans. Image Process. 21(9): 4232-4243 (2012) - [c5]Dengxin Dai, Mukta Prasad, Christian Leistner, Luc Van Gool:
Ensemble Partitioning for Unsupervised Image Categorization. ECCV (3) 2012: 483-496 - [c4]Dengxin Dai, Mukta Prasad, Gerhard Schmitt, Luc Van Gool:
Learning Domain Knowledge for Façade Labelling. ECCV (1) 2012: 710-723 - 2011
- [j3]Dengxin Dai, Wen Yang:
Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation. IEEE Geosci. Remote. Sens. Lett. 8(1): 173-176 (2011) - [j2]Dengxin Dai, Wen Yang, Hong Sun:
Multilevel Local Pattern Histogram for SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 8(2): 225-229 (2011) - 2010
- [j1]Tongyuan Zou, Wen Yang, Dengxin Dai, Hong Sun:
Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests. EURASIP J. Adv. Signal Process. 2010 (2010) - [c3]Dengxin Dai, Tianfu Wu, Song Chun Zhu:
Discovering scene categories by information projection and cluster sampling. CVPR 2010: 3455-3462 - [c2]Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, Chu He:
Fast semantic scene segmentation with conditional random field. ICIP 2010: 229-232 - [c1]Dengxin Dai, Wen Yang, Tianfu Wu:
Three-layer Spatial Sparse Coding for Image Classification. ICPR 2010: 613-616
Coauthor Index
[j27] [c87] [c85] [i94] [i93] [j25] [j23] [j22] [j21] [c82] [c81] [c77] [c75] [c72] [c71] [i90] [i88] [i87] [i81] [i77] [j20] [j19] [j17] [j16] [j15] [c70] [c69] [c68] [c66] [c65] [c62] [c61] [c59] [c58] [c55] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i69] [i67] [i66] [i61] [i60] [j14] [j13] [j12] [j11] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [j10] [j9] [c42] [c39] [c38] [c37] [c36] [c35] [c34] [i44] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i33] [i31] [i30] [i29] [i28] [i27] [c33] [c32] [c31] [c30] [c29] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [j7] [j6] [c28] [c27] [c26] [c25] [c23] [c22] [i17] [i15] [i14] [i13] [i12] [i10] [i9] [c20] [c19] [c18] [i8] [i7] [i6] [i5] [i4] [c17] [c16] [c15] [c14] [c13] [i3] [i2] [j5] [c12] [c11] [c10] [i1] [c9] [c8] [c7] [c6] [c5] [c4]
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