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CVML Lab, KAIST
- Seoul, South Korea
- engineerjpark.github.io
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Code release for our NeurIPS 2023 paper "Uni3DETR: Unified 3D Detection Transformer", our ECCV 2024 paper "OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propag…
Official PyTorch Implementation of PartCLIPSeg
[ECCV2024] Memory-Efficient Fine-Tuning for Quantized Diffusion Model
Official PyTorch Implementation of DreamCatalyst
Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)
My curriculum vitae (CV) written using LaTeX.
[CVPR 2024] Official implementation of "Towards Realistic Scene Generation with LiDAR Diffusion Models"
Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
[ECCV 2024] Official code of "Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather".
A devkit for the Canadian Adverse Driving Conditions (CADC) dataset.
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. Mo…
Official code for the paper "Exploiting the Complementarity of 2D and 3D Networks to Address Domain-Shift in 3D Semantic Segmentation"
Collection of advice for prospective and current PhD students
Semantic Scene Completion from a Single Depth Image
[ICLR 2023] BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Papers, code and datasets about deep learning for 3D Object Detection.
Papers, code and datasets about deep learning for 3D Semantic Segmentation.
[WACV 2023] MT-DETR: Robust End-to-end Multimodal Detection with Confidence Fusion: Official Pytorch Implementation
Official PyTorch implementation of the ECCV 2022 paper "CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation"
(CVPR 2023) The official project of "3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds"
LDLS (Label Diffusion LiDAR Segmentation) algorithm for instance segmentation of LiDAR point clouds.
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds - Official PyTorch implementation