A toolkit for optimizing machine learning models for practical applications

Code for Adaptive Deep Neural Network Inference Optimization with EENet

This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"

Refine high-quality datasets and visual AI models

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

OpenMMLab Pose Estimation Toolbox and Benchmark.

PyTorch bottom-up attention with Detectron2

Code for Neural Motifs: Scene Graph Parsing with Global Context (CVPR 2018)

A knowledge base completion method which handles temporal metadata

Official Tensorflow Implementation of the paper "Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning" in CVPR 2018, with code, model and prediction results.

This is the implementation for the ECCV2020 paper Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents.

A Bottom-Up Clustering Approach to Unsupervised Person Re-identification, AAAI 2019 (Oral)

PyTorch code for ROLL, a knowledge-based video story question answering model.

[BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

[ECCV 2020] XingGAN for Person Image Generation

Implementing Bag of Visual words approach for object classification and detection

This is the first benchmark dataset for houses prices that contains both images and textual information that was introduced in our paper.

[WACV 2019 Oral] Deep Micro-Dictionary Learning and Coding Network

[Neurocomputing 2019] Fast and Robust Dynamic Hand Gesture Recognition via Key Frames Extraction and Feature Fusion

[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Two time-scale update rule for training GANs

PyTorch Tutorial for Deep Learning Researchers

PyTorch Tutorial for Deep Learning Researchers

🔥🔥A pytorch implementation of Dynamic Convolutional Layer in Dynamic Conditional Convolutional Network for Few-Shot Learning🔥🔥

The Contextual Loss

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.