qian26's Stars
zhouchenlin2096/Awesome-Spiking-Neural-Networks
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码,正在持续更新中。
Intelligent-Computing-Lab-Yale/SNNCKA
Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)
zhouchenlin2096/Spikingformer-CML
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation
genema/Noisy-Spiking-Neuron-Nets
[CELL PATTERNS] Official repo of Noisy Spiking Neural Networks
yangfan-hu/Fast-SNN
zhouchenlin2096/Spikingformer
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
SpikingChen/SNN-Daily-Arxiv
Update arXiv papers about Spiking Neural Networks daily.
ridgerchu/TCJA
[TNNLS 2024] Implementation of "TCJA-SNN: Temporal-Channel Joint Attention for Spiking Neural Networks"
Tab-ct/STSC-SNN
STSC-SNN: Spatio-Temporal Synaptic Connection with temporal convolution and attention for spiking neural networks
putshua/SNN_conversion_QCFS
ArminMasoumian/GCNDepth
Self-Supervised CNN-GCN Autoencoder for Monocular Depth Estimation
dvlab-research/spconv-plus
yixchen/HOT
[CVPR 2023] Detecting Human-Object Contact in Images
dvlab-research/VoxelNeXt
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
tinyvision/SOLIDER
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximum extent
djiajunustc/Voxel-R-CNN
open-mmlab/OpenPCDet
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
SPengLiang/LPCG
[ECCV 2022] Lidar Point Cloud Guided Monocular 3D Object Detection.
emecercelik/ssl-3d-detection
penghao1990/ASCNet
ASCNet:3D object detection from point cloud based on adaptive spatial context features
moliqingcha/ASCNet
Vegeta2020/SE-SSD
SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.
tianweiy/CenterPoint
zju3dv/SMAP
[ECCV 2020] SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
JinluZhang1126/MixSTE
Official implementation of CVPR 2022 paper(MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video)
Vegetebird/MHFormer
[CVPR 2022] MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Arthur151/ROMP
Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
Arthur151/SOTA-on-monocular-3D-pose-and-shape-estimation
State-of-the-art methods on monocular 3D pose estimation / 3D mesh recovery
goldbricklemon/uplift-upsample-3dhpe
Official Implementation for WACV'23 paper "Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers"
jayChung0302/videomix
Implementation of brand new video augmentation strategy for video action recognition with 3D CNN