LiRaFusion is a technique proposed to improve 3D object detection in autonomous vehicles by fusing LiDAR and radar data. It combines an early fusion module for joint voxel feature encoding,…
Continue readingThe study presents InstaGen, a novel method to enhance object detector’s ability by training on synthetic dataset generated from diffusion models. The authors integrated an instance-level grounding head into a…
Continue readingThis paper introduces a method for the automatic detection, identification, and localization of lighting elements in buildings using Building Information Modeling (BIM) data. The BIM data is used both as…
Continue readingThis academic article presents a novel approach named Contrastive Language-Image Mosaic (CLIM) for aligning region and text representations in object detection. This method effectively utilizes large-scale image-text pairs, combining multiple…
Continue readingThis research paper presents a language-assisted approach to point cloud feature learning (LAST-PCL), aimed at improving 3D scene understanding. The approach incorporates knowledge from other modalities, like images and text,…
Continue readingThis academic paper introduces PillarNeSt, a new technique for 3D object detection in point clouds. The authors highlight the effectiveness of 2D backbone scaling and pretraining for pillar-based 3D object…
Continue readingThis paper introduces DECOLA, a new open-vocabulary detection framework that uses both image-level labels and detailed detection annotations. The framework works in three steps: training a language-conditioned object detector, pseudo-labeling…
Continue readingThe paper presents a new approach called Scattering Vision Transformer (SVT) to address challenges in vision tasks. SVT incorporates a spectrally scattering network that captures intricate image details and separates…
Continue readingThe paper presents RegionSpot, a novel region recognition architecture for open-world object detection. It builds on vision-language (ViL) foundation models like CLIP, and addresses challenges such as intensive training requirements,…
Continue readingThe article discusses CenterRadarNet, a joint architecture for 3D object detection and re-identification tasks using 4D radar data. It’s an efficient single-stage 3D object detector that directly infers the bird’s-eye-view…
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