CVPR 2024 Open Access Repository

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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }