AllenZyy821

AllenZyy821's Stars

• jethrogb/nvme-ata-security

  Linux tools to configure ATA security on NVMe drives

  Language:Rust126

• bay1/vue-admin-flask-example

  vue-admin和后端(flask)分离结合的超简单模板Demo

  Language:Vue27178

• robotology/event-driven

  neuromorphic sensor integration with YARP and iCub

  Language:C++8231

• mattpoggi/mono-uncertainty

  CVPR 2020 - On the uncertainty of self-supervised monocular depth estimation

  Language:Python23922

• ChatGPTNextWeb/NextChat

  ✨ Light and Fast AI Assistant. Support: Web | iOS | MacOS | Android | Linux | Windows

  Language:TypeScript82.1k61k

• gallenszl/CFNet

  CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching（CVPR2021）

  Language:Python15923

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.3k978

• mrharicot/monodepth

  Unsupervised single image depth prediction with CNNs

  Language:Python2.2k635

• NVIDIA-AI-IOT/redtail

  Perception and AI components for autonomous mobile robotics.

  Language:C++1k343

• sxfduter/monocular-depth-estimation

  24444

• gangweix/ACVNet

  [TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching

  Language:Python45363

• amusi/CVPR2025-Papers-with-Code

  CVPR 2025 论文和开源项目合集

  19.3k2.7k

• tudelft/idnet

  Language:Python224

• fatemehkarimii/LightDepth

  LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum Learning

  Language:Python101

• J-Cuadrado/OF_EV_SNN

  Optical Flow estimation from Event cameras and Spiking Neural Networks

  Language:Python285

• Huawei-BIC/Discrete_Time_Convolution_for_Fast_Event_Based_Stereo

  Language:Python111

• danqu130/DCEIFlow

  Learning Dense and Continuous Optical Flow from an Event Camera (TIP 2022)

  Language:Python574

• uzh-rpg/RVT

  Implementation of "Recurrent Vision Transformers for Object Detection with Event Cameras". CVPR 2023

  Language:Python34446

• tum-vision/mem

  Masked Event Modeling: Self-Supervised Pretraining for Event Cameras (WACV '24)

  Language:Python173

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k338

• urancon/StereoSpike

  Stereo depth estimation with Spiking Neural Networks (SNN) on Dynamic Vision Sensor (DVS) data

  Language:Python4513

• neuromorphs/tonic

  Event datasets and transforms.

  Language:Python23348

• adeebislam8/DSEC_PSMNET

  Project on obtaining depth map from stereo event cameras using the DSEC dataset and PSMNET. For KAIST individual research

  Language:Python4

• ibergonzani/patch-match-stereo

  Implementations in C++ of the Patch Match Stereo algorithm presented in: PatchMatch Stereo - Stereo Matching with Slanted Support Windows

  Language:C++17150

• wang-zixuan/Event-Stereo-Using-SNN

  Depth estimation of stereo events based on a Spiking Neural Network

  Language:Python3

• uzh-rpg/DSEC

  Language:Python14917

• satya15july/depth_estimation_stereo_images

  Depth Estimation using Stereo images using deep learning based architecture for disparity measurement.The architectures used for disparity estimation are BgNet,CreStereo, Raft-Stereo, HitNet,GwcNet etc.

  Language:Python518

• xy-guo/GwcNet

  Group-wise Correlation Stereo Network, CVPR 2019

  Language:Python32762

• youngyangyang04/TechCPP

  【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。

  2.6k386

• Chohoonhee/SCSNet

  Language:Python211