Table of Contents

• Globally Optimal Event-Based Divergence Estimation for Ventral LandingSofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid 0001, Tat-Jun Chin. 3-20 [doi]
• Transfer Learning for On-Orbit Ship SegmentationVincenzo Fanizza, David Rijlaarsdam, Pablo Tomás Toledano González, José Luis Espinosa-Aranda. 21-36 [doi]
• Spacecraft Pose Estimation Based on Unsupervised Domain Adaptation and on a 3D-Guided Loss CombinationJuan Ignacio Bravo Pérez-Villar, Álvaro García-Martín, Jesús Bescós. 37-52 [doi]
• MaRF: Representing Mars as Neural Radiance FieldsLorenzo Giusti, Josue Garcia, Steven Cozine, Darrick Suen, Christina Nguyen, Ryan Alimo. 53-65 [doi]
• Asynchronous Kalman Filter for Event-Based Star TrackingYonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony. 66-79 [doi]
• Using Moffat Profiles to Register Astronomical ImagesMason Schuckman, Roy Prouty, David Chapman 0001, Don Engel. 80-95 [doi]
• Mixed-Domain Training Improves Multi-mission Terrain SegmentationGrace Vincent, Alice Yepremyan, Jingdao Chen, Edwin Goh. 96-111 [doi]
• CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric SpacecraftMohamed Adel Musallam, Arunkumar Rathinam, Vincent Gaudillière, Miguel Ortiz Del Castillo, Djamila Aouada. 112-126 [doi]
• Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace ApplicationsSomrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, Marco Pavone 0001. 127-142 [doi]
• Strong Gravitational Lensing Parameter Estimation with Vision TransformerKuan-Wei Huang, Geoff Chih-Fan Chen, Po-Wen Chang, Sheng-Chieh Lin, Chia-Jung Hsu, Vishal Thengane, Joshua Yao-Yu Lin. 143-153 [doi]
• End-to-end Neural Estimation of Spacecraft Pose with Intermediate Detection of KeypointsAntoine Legrand, Renaud Detry, Christophe De Vleeschouwer. 154-169 [doi]
• Improving Contrastive Learning on Visually Homogeneous Mars Rover ImagesIsaac Ronald Ward, Charles Moore, Kai Pak, Jingdao Chen, Edwin Goh. 170-185 [doi]
• Monocular 6-DoF Pose Estimation for Non-cooperative Spacecrafts Using Riemannian Regression NetworkSunhao Chu, Yuxiao Duan, Klaus Schilling 0001, Shufan Wu. 186-198 [doi]
• HyperNST: Hyper-Networks for Neural Style TransferDan Ruta, Andrew Gilbert, Saeid Motiian, Baldo Faieta, Zhe Lin 0001, John P. Collomosse. 201-217 [doi]
• DEArt: Dataset of European ArtArtem Reshetnikov, Maria-Cristina V. Marinescu, Joaquim Moré López. 218-233 [doi]
• How Well Do Vision Transformers (VTs) Transfer to the Non-natural Image Domain? An Empirical Study Involving Art ClassificationVincent Tonkes, Matthia Sabatelli. 234-250 [doi]
• On-the-Go Reflectance Transformation Imaging with Ordinary SmartphonesMara Pistellato, Filippo Bergamasco. 251-267 [doi]
• Is GPT-3 All You Need for Visual Question Answering in Cultural Heritage?Pietro Bongini, Federico Becattini, Alberto Del Bimbo. 268-281 [doi]
• Automatic Analysis of Human Body Representations in Western ArtShu Zhao, Alkim Almila Akdag Salah, Albert Ali Salah. 282-297 [doi]
• ArtFacePoints: High-Resolution Facial Landmark Detection in Paintings and PrintsAline Sindel, Andreas Maier 0001, Vincent Christlein. 298-313 [doi]
• TransPatch: A Transformer-based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection ModelsJinghao Wang, Chenling Cui, Xuejun Wen, Jie Shi. 317-331 [doi]
• Feature-Level Augmentation to Improve Robustness of Deep Neural Networks to Affine TransformationsAdrian Sandru, Mariana-Iuliana Georgescu, Radu-Tudor Ionescu. 332-341 [doi]
• p Norm AdversariesAkshay Agarwal 0001, Nalini K. Ratha, Mayank Vatsa, Richa Singh 0001. 342-359 [doi]
• Masked Faces with Faced MasksJiayi Zhu 0002, Qing Guo 0005, Felix Juefei-Xu, Yihao Huang 0001, Yang Liu 0003, Geguang Pu. 360-377 [doi]
• Adversarially Robust Panoptic Segmentation (ARPaS) BenchmarkLaura Alexandra Daza, Jordi Pont-Tuset, Pablo Arbeláez. 378-395 [doi]
• BadDet: Backdoor Attacks on Object DetectionShih-Han Chan, Yinpeng Dong, Jun Zhu 0001, Xiaolu Zhang, Jun Zhou 0011. 396-412 [doi]
• Universal, Transferable Adversarial Perturbations for Visual Object TrackersKrishna Kanth Nakka, Mathieu Salzmann. 413-429 [doi]
• Why Is the Video Analytics Accuracy Fluctuating, and What Can We Do About It?Sibendu Paul, Kunal Rao, Giuseppe Coviello, Murugan Sankaradas, Oliver Po, Y. Charlie Hu, Srimat Chakradhar. 430-448 [doi]
• SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task LearningNilaksh Das, Sheng-Yun Peng, Duen Horng Chau. 449-466 [doi]
• Unrestricted Black-Box Adversarial Attack Using GAN with Limited QueriesDongbin Na, Sangwoo Ji, Jong Kim 0001. 467-482 [doi]
• Truth-Table Net: A New Convolutional Architecture Encodable by Design into SAT FormulasAdrien Benamira, Thomas Peyrin, Bryan Hooi Kuen-Yew. 483-500 [doi]
• Attribution-Based Confidence Metric for Detection of Adversarial Attacks on Breast Histopathological ImagesSteven Lawrence Fernandes, Senka Krivic, Poonam Sharma, Sumit Kumar Jha 0001. 501-516 [doi]
• Improving Adversarial Robustness by Penalizing Natural AccuracyKshitij Chandna. 517-533 [doi]
• 4D-StOP: Panoptic Segmentation of 4D LiDAR Using Spatio-Temporal Object Proposal Generation and AggregationLars Kreuzberg, Idil Esen Zulfikar, Sabarinath Mahadevan, Francis Engelmann, Bastian Leibe. 537-553 [doi]
• BlindSpotNet: Seeing Where We Cannot SeeTaichi Fukuda, Kotaro Hasegawa, Shinya Ishizaki, Shohei Nobuhara, Ko Nishino. 554-569 [doi]
• Gesture Recognition with Keypoint and Radar Stream Fusion for Automated VehiclesAdrian Holzbock, Nicolai Kern, Christian Waldschmidt, Klaus Dietmayer, Vasileios Belagiannis. 570-584 [doi]
• An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous DrivingGuofa Li, Yingjie Zhang, Delin Ouyang, Xingda Qu. 585-601 [doi]
• Plausibility Verification for 3D Object Detectors Using Energy-Based OptimizationAbhishek Vivekanandan, Niels Maier, J. Marius Zöllner. 602-616 [doi]
• Lane Change Classification and Prediction with Action Recognition NetworksKai Liang, Jun Wang, Abhir Bhalerao. 617-632 [doi]
• Joint Prediction of Amodal and Visible Semantic Segmentation for Automated DrivingJasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt. 633-645 [doi]
• Human-Vehicle Cooperative Visual Perception for Autonomous Driving Under Complex Traffic EnvironmentsYiyue Zhao, Cailin Lei, Yu Shen, Yuchuan Du, Qijun Chen. 646-662 [doi]
• MCIP: Multi-Stream Network for Pedestrian Crossing Intention PredictionJe-Seok Ham, Kangmin Bae, Jinyoung Moon. 663-679 [doi]
• SimpleTrack: Understanding and Rethinking 3D Multi-object TrackingZiqi Pang, Zhichao Li, Naiyan Wang. 680-696 [doi]
• Ego-Motion Compensation of Range-Beam-Doppler Radar Data for Object DetectionMichael Meyer, Marc Unzueta, Georg Kuschk, Sven Tomforde. 697-708 [doi]
• RPR-Net: A Point Cloud-Based Rotation-Aware Large Scale Place Recognition NetworkZhaoxin Fan, Zhenbo Song, Wenping Zhang, Hongyan Liu 0002, Jun He 0008, Xiaoyong Du 0001. 709-725 [doi]
• Learning 3D Semantics From Pose-Noisy 2D Images with Hierarchical Full Attention NetworkYuhang He, Lin Chen, Junkun Xie, Long Chen 0005. 726-742 [doi]
• SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching AlgorithmsShuai Su, Zhongkai Zhao, Yixin Fei, Shuda Li, Qijun Chen, Rui Fan 0001. 743-759 [doi]