Junjie Hu's repositories
Revisiting_Single_Depth_Estimation
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
Visualizing-CNNs-for-monocular-depth-estimation
official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"
Boosting-Light-Weight-Depth-Estimation
Official implementation of "Boosting Light-Weight Depth Estimation Via Knowledge Distillation"
Lifelong-MonoDepth
About official Pytorch implementation of "Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation
Semantic-Graph-based--global-Localization
Semantic graph based global localization for multi-robot map fusion.
CompletionFormer
[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers
continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
EfficientLPS
PyTorch code for training EfficientLPS for LiDAR panoptic segmentation. https://rl.uni-freiburg.de/research/lidar-panoptic
Elastic-Weight-Consolidation
This is an implementation of Elastic Weight Consolidation algorithm introduced in Overcoming catastrophic forgetting in neural networks.
ExtInfoMax
Codes for reproducing results in the paper "Extending information maximization from a rate-distortion perspective"
MISO_connection
Algorithms for the connection planning problem of configurations composed of MISO modules, such as IM and TBB used in the article "Auto-Optimizing Connection Planning Method for Chain-Type Modular Self-Reconfiguration Robots"
NeuralCoMapping
[CVPR 2022] Multi-Robot Active Mapping via Neural Bipartite Graph Matching.
PLNet
Code for PLNet: Plane and Line Priors for Unsupervised Indoor Depth Estimation
MS2-MultiSpectralStereoDataset
This is the official GitHub page of the Multi-Spectral Stereo (MS2) dataset described in CVPR 2023 paper.