liuyyy111

liuyyy111's Stars

• skyil7/mmcr

  Pytorch implementation of Maximum Manifold Capacity Representations (MMCR) loss.

  Language:Python2

• AnswerDotAI/gpu.cpp

  A lightweight library for portable low-level GPU computation using WebGPU.

  Language:C++3.7k176

• QinYang79/Awesome-Noisy-Correspondence

  This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gmail.com

  365

• fanglaosi/Skeleton-in-Context

  [CVPR2024] Official implementation of the paper: Skeleton-in-Context: Unified Skeleton Sequence Modeling with In-Context Learning

  Language:Python352

• facebookresearch/EgoCom-Dataset

  EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset

  Language:Jupyter Notebook529

• stevenlsw/hoi-forecast

  [CVPR 2022] Joint hand motion and interaction hotspots prediction from egocentric videos

  Language:Python519

• EgocentricVision/EgocentricVision

  🔍 Explore Egocentric Vision: research, data, challenges, real-world apps. Stay updated & contribute to our dynamic repository! Work-in-progress; join us!

  726

• liuyyy111/Point-RAE

  Code for ACM MM 2023 paper - Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning

  Language:Python101

• DayongRen/Spiking-PointNet

  Official PyTorch implementation for the following paper: Spiking PointNet: Spiking Neural Networks for Point Clouds.

  Language:Python261

• liuyyy111/ConVSE

  PyTorch source code for "Regularizing Visual Semantic Embedding with Contrastive Learning for Image-Text Matching"

  Language:Python5

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47k5.6k

• ZrrSkywalker/I2P-MAE

  [CVPR 2023] Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders

  Language:Python21117

• facebookresearch/barlowtwins

  PyTorch implementation of Barlow Twins.

  Language:Python961127

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.2k1.2k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.7k4.7k

• cshizhe/asg2cap

  Code accompanying the paper "Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs" (Chen et al., CVPR 2020, Oral).

  Language:Python20029

• OUCMachineLearning/OUCML

  Language:Python4.6k1.3k