Pinned Repositories
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
actor-observer
ActorObserverNet code in PyTorch from "Actor and Observer: Joint Modeling of First and Third-Person Videos", CVPR 2018
Bottom-up-Clustering-Person-Re-identification
A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)
GestureGAN
[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
tfjs-models
Pretrained models for TensorFlow.js
TTUR
Two time-scale update rule for training GANs
Video-Description-via-Dialog-Agents-ECCV2020
This is the implementation for the ECCV2020 paper Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents.
gwliu213's Repositories
gwliu213/tfjs-models
Pretrained models for TensorFlow.js
gwliu213/awesome-machine-unlearning
Awesome Machine Unlearning (A Survey of Machine Unlearning)
gwliu213/Awesome-Prompt-Engineering
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
gwliu213/Awesome-Violence-Detection
Collections for Violence Detection
gwliu213/CMIM
The code for the Network Binarization via Contrastive Learning, which has been accepted to ECCV 2022.
gwliu213/Distilling-Object-Detectors
Implementation of CVPR 2019 paper: Distilling Object Detectors with Fine-grained Feature Imitation
gwliu213/Diverse-ViT
[CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang
gwliu213/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
gwliu213/fasttraining
FFCV: Fast Forward Computer Vision (and other ML workloads!)
gwliu213/flame
flame is a federated learning system for edge with flexibility and scalability at the core of its design.
gwliu213/gan-compression
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
gwliu213/grok-1
Grok open release
gwliu213/Knowledge-Distillation-Paper
This resposity maintains a series of papers on knowledge distillation.
gwliu213/knowledge-distillation-papers
knowledge distillation papers
gwliu213/liveposetracker
Live body pose tracker made with OpenPose + Deep SORT
gwliu213/LONDON
gwliu213/mdistiller
The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679
gwliu213/mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
gwliu213/modelsmith
A toolkit for compressing machine learning models
gwliu213/MTARD
The Code of ECCV2022:Enhanced Accuracy and Robustness via Multi-Teacher Adversarial Distillation
gwliu213/openpose-docker
A docker build file for CMU openpose with Python API support
gwliu213/Real-life-violence-detection
YTD and mobilnet training/testing
gwliu213/Real-Time-Violence-Detection-in-Video-
violence detection working code
gwliu213/ResRep
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting (ICCV 2021)
gwliu213/RSLAD
This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
gwliu213/RWF2000-Video-Database-for-Violence-Detection
A large scale video database for violence detection, which has 2,000 video clips containing violent or non-violent behaviours.
gwliu213/SONY
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
gwliu213/Torch-Pruning
[CVPR-2023] Towards Any Structural Pruning; LLMs / Diffusion / YOLOv8 / CNNs / Transformers
gwliu213/Unlearn-Saliency
[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Dennis Wei, Eric Wong, Sijia Liu
gwliu213/yoloR
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)