7th Workshop on Autonomous Driving (WAD)


Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments
Benoît Gérin,
Anaïs Halin,
Anthony Cioppa,
Maxim Henry,
Bernard Ghanem,
Benoît Macq,
Christophe De Vleeschouwer,
Marc Van Droogenbroeck
[pdf] [supp]
[bibtex]
@InProceedings{Gerin_2024_CVPR, author = {G\'erin, Beno{\^\i}t and Halin, Ana{\"\i}s and Cioppa, Anthony and Henry, Maxim and Ghanem, Bernard and Macq, Beno{\^\i}t and De Vleeschouwer, Christophe and Van Droogenbroeck, Marc}, title = {Multi-Stream Cellular Test-Time Adaptation of Real-Time Models Evolving in Dynamic Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4472-4482} }

Potential Risk Localization via Weak Labeling out of Blind Spot
Kota Shimomura,
Tsubasa Hirakawa,
Takayoshi Yamashita,
Hironobu Fujiyoshi
[pdf]
[bibtex]
@InProceedings{Shimomura_2024_CVPR, author = {Shimomura, Kota and Hirakawa, Tsubasa and Yamashita, Takayoshi and Fujiyoshi, Hironobu}, title = {Potential Risk Localization via Weak Labeling out of Blind Spot}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4504-4513} }

CaBins: CLIP-based Adaptive Bins for Monocular Depth Estimation
Eunjin Son,
Sang Jun Lee
[pdf]
[bibtex]
@InProceedings{Son_2024_CVPR, author = {Son, Eunjin and Lee, Sang Jun}, title = {CaBins: CLIP-based Adaptive Bins for Monocular Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4557-4567} }

Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains
Alexandra Dana,
Nadav Carmel,
Amit Shomer,
Ofer Manela,
Tomer Peleg
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dana_2024_CVPR, author = {Dana, Alexandra and Carmel, Nadav and Shomer, Amit and Manela, Ofer and Peleg, Tomer}, title = {Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4440-4450} }

Are NeRFs Ready for Autonomous Driving? Towards Closing the Real-to-simulation Gap
Carl Lindström,
Georg Hess,
Adam Lilja,
Maryam Fatemi,
Lars Hammarstrand,
Christoffer Petersson,
Lennart Svensson
[pdf] [supp]
[bibtex]
@InProceedings{Lindstrom_2024_CVPR, author = {Lindstr\"om, Carl and Hess, Georg and Lilja, Adam and Fatemi, Maryam and Hammarstrand, Lars and Petersson, Christoffer and Svensson, Lennart}, title = {Are NeRFs Ready for Autonomous Driving? Towards Closing the Real-to-simulation Gap}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4461-4471} }

Click Crop & Detect: One-Click Offline Annotation for Human-in-the-Loop 3D Object Detection on Point Clouds
Nitin Kumar Saravana Kannan,
Matthias Reuse,
Martin Simon
[pdf]
[bibtex]
@InProceedings{Kannan_2024_CVPR, author = {Kannan, Nitin Kumar Saravana and Reuse, Matthias and Simon, Martin}, title = {Click Crop \& Detect: One-Click Offline Annotation for Human-in-the-Loop 3D Object Detection on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4514-4525} }

CenterPoint Transformer for BEV Object Detection with Automotive Radar
Loveneet Saini,
Yu Su,
Hasan Tercan,
Tobias Meisen
[pdf]
[bibtex]
@InProceedings{Saini_2024_CVPR, author = {Saini, Loveneet and Su, Yu and Tercan, Hasan and Meisen, Tobias}, title = {CenterPoint Transformer for BEV Object Detection with Automotive Radar}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4451-4460} }

MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration
Mathieu Cocheteux,
Julien Moreau,
Franck Davoine
[pdf]
[bibtex]
@InProceedings{Cocheteux_2024_CVPR, author = {Cocheteux, Mathieu and Moreau, Julien and Davoine, Franck}, title = {MULi-Ev: Maintaining Unperturbed LiDAR-Event Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4579-4586} }

TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation
Rong Li,
Shijie Li,
Xieyuanli Chen,
Teli Ma,
Juergen Gall,
Junwei Liang
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Rong and Li, Shijie and Chen, Xieyuanli and Ma, Teli and Gall, Juergen and Liang, Junwei}, title = {TFNet: Exploiting Temporal Cues for Fast and Accurate LiDAR Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4547-4556} }

TrajFine: Predicted Trajectory Refinement for Pedestrian Trajectory Forecasting
Kuan-Lin Wang,
Li-Wu Tsao,
Jhih-Ciang Wu,
Hong-Han Shuai,
Wen-Huang Cheng
[pdf] [supp]
[bibtex]
@InProceedings{Wang_2024_CVPR, author = {Wang, Kuan-Lin and Tsao, Li-Wu and Wu, Jhih-Ciang and Shuai, Hong-Han and Cheng, Wen-Huang}, title = {TrajFine: Predicted Trajectory Refinement for Pedestrian Trajectory Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4483-4492} }

Lift-Attend-Splat: Bird's-eye-view Camera-lidar Fusion using Transformers
James Gunn,
Zygmunt Lenyk,
Anuj Sharma,
Andrea Donati,
Alexandru Buburuzan,
John Redford,
Romain Mueller
[pdf] [supp]
[bibtex]
@InProceedings{Gunn_2024_CVPR, author = {Gunn, James and Lenyk, Zygmunt and Sharma, Anuj and Donati, Andrea and Buburuzan, Alexandru and Redford, John and Mueller, Romain}, title = {Lift-Attend-Splat: Bird's-eye-view Camera-lidar Fusion using Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4526-4536} }

DuST: Dual Swin Transformer for Multi-modal Video and Time-Series Modeling
Liang Shi,
Yixin Chen,
Meimei Liu,
Feng Guo
[pdf]
[bibtex]
@InProceedings{Shi_2024_CVPR, author = {Shi, Liang and Chen, Yixin and Liu, Meimei and Guo, Feng}, title = {DuST: Dual Swin Transformer for Multi-modal Video and Time-Series Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4537-4546} }

Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models
Samuel M. Bateman,
Ning Xu,
H. Charles Zhao,
Yael Ben Shalom,
Vince Gong,
Greg Long,
Will Maddern
[pdf] [arXiv]
[bibtex]
@InProceedings{Bateman_2024_CVPR, author = {Bateman, Samuel M. and Xu, Ning and Zhao, H. Charles and Ben Shalom, Yael and Gong, Vince and Long, Greg and Maddern, Will}, title = {Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4568-4578} }

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks
Sophia Sirko-Galouchenko,
Alexandre Boulch,
Spyros Gidaris,
Andrei Bursuc,
Antonin Vobecky,
Patrick Pérez,
Renaud Marlet
[pdf] [arXiv]
[bibtex]
@InProceedings{Sirko-Galouchenko_2024_CVPR, author = {Sirko-Galouchenko, Sophia and Boulch, Alexandre and Gidaris, Spyros and Bursuc, Andrei and Vobecky, Antonin and P\'erez, Patrick and Marlet, Renaud}, title = {OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {4493-4503} }