cvlab-stonybrook Goto Github PK
Name: CVLab@StonyBrook
Type: Organization
Bio: Computer Vision Lab at Stony Brook University
Location: Stony Brook, New York
Name: CVLab@StonyBrook
Type: Organization
Bio: Computer Vision Lab at Stony Brook University
Location: Stony Brook, New York
Whose Hands Are These? Hand Detection and Hand-Body Association in the Wild, CVPR 2022
Detecting Hands and Recognizing Physical Contact in the Wild, NeurIPS 2020.
Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
A hybrid dataset for document unwarping (Paper: https://www3.cs.stonybrook.edu/~cvl/projects/dewarpnet/storage/paper.pdf)
Repository for Intrinsic Decomposition of Document Images In-the-Wild (BMVC '20)
Visual Emotion Prediction (as a single-label problem) -- MS Thesis
Code and datasets for BMVC 2021 paper "Exemplar-Based Early Event Prediction in Video"
[AAAI24] Official Pytorch Implementation of Count What You Want: Exemplar Identification and Few-shot Counting of Human Actions in the Wild
Official code for "Conditional Generation from Unconditional Diffusion Models using Denoiser Representations" (BMVC 2023)
Official codebase for "Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention" (CVPR 2023)
Forward Propagation, Backward Regression and Pose Association for Hand Tracking in the Wild (CVPR 2022)
CVPR 2024 "Unifying Top-down and Bottom-up Scanpath Prediction Using Transformers"
[ICCV23] Official Pytorch Implementation of Interactive Class-Agnostic Object Counting
Learning an Isometric Surface Parameterization for Texture Unwrapping (ECCV 2022)
CVPR 2024: Learned representation-guided diffusion models for large-image generation
Repository for "Gigapixel Whole-Slide Images Classification using Locally Supervised Learning"
PyTorch Implementation of Lung Swapping Autoencoder
The code and the DIW dataset for "Learning From Documents in the Wild to Improve Document Unwarping" (SIGGRAPH 2022)
Official Code for PathLDM: Text conditioned Latent Diffusion Model for Histopathology (WACV 2024)
Repository for "Precise Location Matching Improves Dense Contrastive Learning in Digital Pathology"
Repository for "Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning" (MICCAI2023)
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.