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Kvasir8's Projects

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

ds-net_review icon ds-net_review

[CVPR 2021] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)

efficientlps_review icon efficientlps_review

PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic

flowmap_review icon flowmap_review

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

graph-cut-ransac icon graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

leetcode-solutions icon leetcode-solutions

🏋️ Python / Modern C++ Solutions of All 2814 LeetCode Problems (Weekly Update)

mask3d_review icon mask3d_review

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

maskpls_review icon maskpls_review

Mask-Based Panoptic LiDAR Segmentation for Autonomous Driving, RA-L, 2023

neo-360_baseline_kdbts icon neo-360_baseline_kdbts

Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

p3former_review icon p3former_review

P3Former: Position-Guided Point Cloud Panoptic Segmentation Transformer

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