Pinned Repositories
drama-graph
Drama-Graph repository produces both knowledge base on drama scripts and video graph for Video Turing Test (VTT).
Maximum-Margin-LDAM
Learning Imbalanced Datasets With Maximum Margin Losss
multi-gpus-pytorch
Training mnist uing multiple gpus
PFNR
Winning SubNetwork (WSN), Fourier Subneural Operator (FSO), Video-Incremental Learning (VIL), Sequential Neural Implicit Representation (NIR)
SoftNet-3DLS
3D Loss Landscapes of SoftNet (Sparse Subnetwork)
SoftNet-FSCIL
Winning SubNetwork (WSN), Soft-SubNetwork (SoftNet)
Unbiased-SGG
variational-bayesian
viz-graph
Video Knowledge Builder and Graph
WSN
Winning SubNetwork (WSN)
ihaeyong's Repositories
ihaeyong/viz-graph
Video Knowledge Builder and Graph
ihaeyong/AGS-CL
ihaeyong/ar1-pytorch
AR1* with Latent Replay, implemented in PyTorch
ihaeyong/BalancedMetaSoftmax-Classification
Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition" on long-tailed visual recognition datasets
ihaeyong/CausalBayesianOptimization
Code for the Causal Bayesian Optimization algorithm (http://proceedings.mlr.press/v108/aglietti20a/aglietti20a.pdf)
ihaeyong/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
ihaeyong/CMC
[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
ihaeyong/conference-school-notes
Collected Conference & Summer School Notes
ihaeyong/ContrastiveLosses4VRD
Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"
ihaeyong/deep-graph-matching-consensus
Implementation of Deep Graph Matching Consensus in PyTorch
ihaeyong/Deep-RL-for-Imbalanced-Classification
Deep Reinforcement Learning for Imbalanced Classification
ihaeyong/f-GAN-pytorch
A pytorch implementation of "f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization"
ihaeyong/fscil
Official repository for Few-Shot Class-Incremental Learning (FSCIL)
ihaeyong/gae-pytorch
Graph Auto-Encoder in PyTorch
ihaeyong/gradient-pruning
ihaeyong/graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
ihaeyong/IBA-paper-code
Code for the Paper "Restricting the Flow: Information Bottlenecks for Attribution"
ihaeyong/imagenet-pytorch
The 'ImageNet training in PyTorch' tutorial, customized
ihaeyong/mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
ihaeyong/MS-G3D
PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition", CVPR 2020
ihaeyong/numcompress
Python package to compress numerical series & numpy arrays into strings
ihaeyong/OpenLongTailRecognition-OLTR
Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)
ihaeyong/PeerLoss
Learning with Noisy Labels by adopting a peer prediction loss function.
ihaeyong/Point-GNN
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud, CVPR 2020.
ihaeyong/pytorch-mutual-information
Mutual Information in Pytorch
ihaeyong/pytorch_data_parallel
ihaeyong/rl_notes
Notes of Reinforcement Learning MOOC by University of Alberta
ihaeyong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
ihaeyong/UDA_pytorch
UDA(Unsupervised Data Augmentation) implemented by pytorch
ihaeyong/variational-dropout-sparsifies-dnn
Sparse Variational Dropout, ICML 2017