sangminwoo

DTR

[ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"

HarmonyView

[CVPR 2024] Official pytorch implementation of "HarmonyView: Harmonizing Consistency and Diversity in One-Image-to-3D"

ActionMAE

[AAAI 2023] Official pytorch implementation of "Towards Good Practices for Missing Modality Robust Action Recognition"

awesome-vision-and-language

A curated list of awesome vision and language resources (still under construction... stay tuned!)

Depth_from_Focus

Conventional Depth from Focus(DfF) estimation with slight focus variations in image sequences

DMP

[AAAI 2025] Official pytorch implementation of "Diffusion Model Patching via Mixture-of-Prompts"

Explore-And-Match

Official pytorch implementation of "Explore-And-Match: Bridging Proposal-Based and Proposal-Free With Transformer for Sentence Grounding in Videos"

Local-to-Global-Interaction-Networks-SGG

[TNNLS 2022] Official pytorch implementation of "Tackling the Challenges in Scene Graph Generation with Local-to-Global Interactions"

RecycleNet

Attentional Learning of Trash Classification

Temporal-Span-Proposal-Network-VidVRD

Official pytorch implementation of "What and When to look?: Temporal Span Proposal Network for Video Relation Detection"

sangminwoo/RecycleNet

Attentional Learning of Trash Classification

sangminwoo/Structure-from-Motion

Structure from Motion(SfM) with slight different view of images

sangminwoo/Attention-in-CNN

Attention Module in CNN (ResNet + CIFAR100)

sangminwoo/3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

sangminwoo/a-PyTorch-Tutorial-to-Image-Captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

sangminwoo/ActionGenome

A video database bridging human actions and human-object relationships

sangminwoo/ContrastiveLosses4VRD

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

sangminwoo/deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

sangminwoo/detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

sangminwoo/detr

End-to-End Object Detection with Transformers

sangminwoo/flops-counter.pytorch

Flops counter for convolutional networks in pytorch framework

sangminwoo/GRACE

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

sangminwoo/graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

sangminwoo/hcrn-videoqa

Implementation for the paper "Hierarchical Conditional Relation Networks for Video Question Answering" (Le et al., CVPR 2020, Oral)

sangminwoo/KERN

Code for Knowledge-Embedded Routing Network for Scene Graph Generation (CVPR 2019)

sangminwoo/kinetics_i3d_pytorch

Inflated i3d network with inception backbone, weights transfered from tensorflow

sangminwoo/maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

sangminwoo/meshrcnn

code for Mesh R-CNN, ICCV 2019

sangminwoo/MSDN

This is our PyTorch implementation of Multi-level Scene Description Network (MSDN) proposed in our ICCV 2017 paper.

sangminwoo/P-GNN

Position-aware Graph Neural Networks

sangminwoo/pretrain-gnns

Strategies for Pre-training Graph Neural Networks

sangminwoo/pygcn

Graph Convolutional Networks in PyTorch

sangminwoo/Scene-Graph-Benchmark.pytorch

A new codebase of Scene Graph Generation based on maskrcnn-benchmark. A Pytorch implementation of the CVPR 2020 Oral paper "Unbiased Scene Graph Generation from Biased Training"

sangminwoo/SGAE

sangminwoo/SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

sangminwoo/tgn

TGN: Temporal Graph Networks

sangminwoo/TRN-pytorch

Temporal Relation Networks

sangminwoo/Video-Action-Transformer-Network-Pytorch-

Implementation of the paper Video Action Transformer Network

sangminwoo/video-long-term-feature-banks

Long-Term Feature Banks for Detailed Video Understanding

sangminwoo/VidVRD-helper

To keep updates with VRU Grand Challenge, please use https://github.com/NExTplusplus/VidVRD-helper