Pinned Repositories
4DGaussians
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering
GaussianDreamer
GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models (CVPR 2024)
MapTR
[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Matte-Anything
[Image and Vision Computing] Interactive Natural Image Matting with Segment Anything Models
QueryInst
[ICCV 2021] Instances as Queries
SparseInst
[CVPR 2022] SparseInst: Sparse Instance Activation for Real-Time Instance Segmentation
VAD
[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Vim
Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
YOLOP
You Only Look Once for Panopitic Driving Perception.(MIR2022)
YOLOS
[NeurIPS 2021] You Only Look at One Sequence
HUST Vision Lab's Repositories
hustvl/BCF
Xinggang Wang, Bin Feng, Xiang Bai, Wenyu Liu, and Longin Jan Latecki. Bag of Contour Fragments for Robust Shape Classification. Pattern Recognition, Volume 47, Issue 6, June 2014, Pages 2116-2125.
hustvl/CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation
hustvl/MINNs
Codes for our paper "Revisiting Multiple Instance Neural Networks".
hustvl/SegMitos_mitosis_detection
Weakly Supervised Mitosis Detection in Breast Histopathology Images using Concentric Loss
hustvl/DeepMitosis
Codes for our MIA paper "DeepMitosis: Mitosis detection via deep detection, verification and segmentation networks".
hustvl/DenseNAS
Densely Connected Search Space for More Flexible Neural Architecture Search
hustvl/DomainAdaptiveReID
hustvl/dpl
Codes for our paper "Deep Patch Learning for Weakly Supervised Object Classification and Discovery".
hustvl/DSRG
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018)
hustvl/EAT-NAS
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
hustvl/maskscoring_rcnn
Codes for paper "Mask Scoring R-CNN".
hustvl/MMDL
Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, and Zhuowen Tu, Max-Margin Multiple Instance Dictionary Learning, International Conference on Machine Learning (ICML), Atlanta, June, 2013.
hustvl/oicr
Codes for our paper "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".
hustvl/PTSNet
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
hustvl/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
hustvl/RMI-SVM-ICCV2015
RMI-SVM
hustvl/Scale-Adaptive-Network
Semantic Image Segmentation by Scale-Adaptive Networks