Jinwoo Bae's Projects
AtLoc: Attention Guided Camera Localization
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Open-source simulator for autonomous driving research.
Using Carla to make data set similar to Kitti 3D target detection
Step by step explanation of 2D convolution implemented as matrix multiplication using toeplitz matrices
A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features
Official PyTorch implementation of DD3D: Is Pseudo-Lidar needed for Monocular 3D Object detection? (ICCV 2021), Dennis Park*, Rares Ambrus*, Vitor Guizilini, Jie Li, and Adrien Gaidon.
Dense Depth for Autonomous Driving (DDAD) dataset.
DeMoN: Depth and Motion Network
[ICLR19] DPSNet: End-to-end Deep Plane Sweep Stereo
Dense Prediction Transformers
Modified Fully Convolutional HarDNet for Segmentation in Pytorch for private dataset, distillation learning and multiple tasks.
(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"
Pytorch0.4.1 codes for InsightFace
[ICCV 2019] Monocular depth estimation from a single image
Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021
PyTorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)
TRI-ML Monocular Depth Estimation Repository
95.16% on CIFAR10 with PyTorch
The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch
This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).
Downloads files matching patterns from the Oxford Robotcar Dataset website
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Config files for my GitHub profile.
"More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity", Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang