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20182026
most citedFrom Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation

35 citations · 59 across the 46 of their papers we have counts for

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48 papers · 1 filter

cs.CV2026

Mask What Matters: Saliency-Guided Video Self-Supervised Learning for Autonomous Driving

Christopher Lang, Alexander Braun, Abhinav Valada

Video self-supervised learning through masked spatiotemporal prediction has emerged as a promising paradigm for learning feature representations from unlabeled data. However, exist…

cs.CV2026

Spotted: Location-informed Reidentification of Hyenas and Leopards in Camera Trap Surveys

Halil Sina Kelebek, Julia Hindel, Kobus Hoffman +9

Animal re-identification (ReID) in camera-trap surveys remains challenging due to low image quality, strong variation in illumination and viewpoint, and highly imbalanced numbers o…

cs.CV2026

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking

Maximilian Luz, Thomas Nürnberg, Yakov Miron +1

Camera-based 4D panoptic occupancy tracking (4D-POT) is a promising paradigm for holistic scene understanding from multi-view imagery, enabling joint reasoning about geometry, sema…

cs.CV2026

Joint Target-Less Intrinsic and Extrinsic Camera-LiDAR Calibration using Deep Point Correspondences

Simon Bultmann, Daniele Cattaneo, Abhinav Valada

Accurate camera-LiDAR calibration is a prerequisite for robust multi-modal perception in robotics. Recent target-less approaches based on deep point correspondences achieve remarka…

cs.CV2026

Hyp2Former: Hierarchy-Aware Hyperbolic Embeddings for Open-Set Panoptic Segmentation

Yao Lu, Rohit Mohan, Florian Drews +2

Recognizing unknown objects is crucial for safety-critical applications such as autonomous driving and robotics. Open-Set Panoptic Segmentation (OPS) aims to segment known thing an…

cs.CV2026

Leveraging Previous-Traversal Point Cloud Map Priors for Camera-Based 3D Object Detection and Tracking

Markus Käppeler, Özgün Çiçek, Yakov Miron +1

Camera-based 3D object detection and tracking are central to autonomous driving, yet precise 3D object localization remains fundamentally constrained by depth ambiguity when no exp…