Pinned Repositories
BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
ConvNeXt
Code release for ConvNeXt model
DeformableCRFs
detr
End-to-End Object Detection with Transformers
DiffusionDepth
PyTorch Implementation of introducing diffusion approach to 3D depth perception
distributed_training_framework
Distributed training framework
DSNeRF
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
google-research
Google Research
Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
pointnet_geoerror
wyddmw's Repositories
wyddmw/pointnet_geoerror
wyddmw/Normal-Assisted-Stereo
[CVPR 2020] Normal Assisted Stereo Depth Estimation
wyddmw/BEVFormer
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
wyddmw/ConvNeXt
Code release for ConvNeXt model
wyddmw/DeformableCRFs
wyddmw/detr
End-to-End Object Detection with Transformers
wyddmw/DiffusionDepth
PyTorch Implementation of introducing diffusion approach to 3D depth perception
wyddmw/distributed_training_framework
Distributed training framework
wyddmw/DSNeRF
Code release for DS-NeRF (Depth-supervised Neural Radiance Fields)
wyddmw/google-research
Google Research
wyddmw/LMDrive
LMDrive: Closed-Loop End-to-End Driving with Large Language Models
wyddmw/MobileVLM
Strong and Open Vision Language Assistant for Mobile Devices
wyddmw/nerf_pl
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
wyddmw/NerfingMVS
[ICCV 2021 Oral] NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo
wyddmw/Rot_Norm
Rotation normalization for point cloud
wyddmw/RotPred
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
wyddmw/stereo-from-mono
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
wyddmw/test.github.io
UTS Group Seminar http://www.zdzheng.xyz
wyddmw/vision
Datasets, Transforms and Models specific to Computer Vision
wyddmw/visual_box
wyddmw/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
wyddmw/votenet-kitti