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03/28/2023
HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation
Panoptic Scene Graph generation (PSG) is a recently proposed task in ima...
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11/26/2022
SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimation
This work addresses cross-view camera pose estimation, i.e., determining...
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09/08/2021
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and Tracking
Panoptic scene understanding and tracking of dynamic agents are essentia...
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06/22/2021
nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
In this work, we propose the world's first closed-loop ML-based planning...
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10/19/2020
The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes
A high-performing object detection system plays a crucial role in autono...
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03/26/2019
nuScenes: A multimodal dataset for autonomous driving
Robust detection and tracking of objects is crucial for the deployment o...
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12/14/2018
PointPillars: Fast Encoders for Object Detection from Point Clouds
Object detection in point clouds is an important aspect of many robotics...
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03/23/2017
Weakly Supervised Object Localization Using Things and Stuff Transfer
We propose to help weakly supervised object localization for classes whe...
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12/12/2016
COCO-Stuff: Thing and Stuff Classes in Context
Semantic classes can be either things (objects with a well-defined shape...
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07/26/2016
Region-based semantic segmentation with end-to-end training
We propose a novel method for semantic segmentation, the task of labelin...
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07/06/2015