jbehley
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An extremely fast Python linter and code formatter, written in Rust.
Mask4D: End-to-End Mask-Based 4D Panoptic Segmentation for LiDAR Sequences, RA-L, 2023
🫑 Panoptic Mapping with Fruit Completion and Pose Estimation for Horticultural Robots (IROS' 23)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
In-Field Phenotyping Based on Crop Leaf and Plant Instance Segmentation
StyleGAN-based generation of labels for crop-weed segmentation
🔥Highlighting the top ML papers every week.
A LiDAR visualization tool for all your datasets
Robust Speech Recognition via Large-Scale Weak Supervision
Pythonic AI generation of images and videos
An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.
Towards Domain Generalization in Crop and Weed Segmentation for Precision Farming Robots
KPPR: Exploiting Momentum Contrast for Point Cloud-Based Place Recognition
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
😎 A current list of LiDAR-IMU calibration method
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
Karras et al. (2022) diffusion models for PyTorch
Dr.Jit — A Just-In-Time-Compiler for Differentiable Rendering
Mitsuba 3: A Retargetable Forward and Inverse Renderer
A library for differentiable nonlinear optimization
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions (RAL 2022)