An implementation of our paper Learning to Cluster Faces on an Affinity Graph, CVPR 2019 Oral.
An implementation of our paper Self-Supervised Learning via Conditional Motion Propagation, CVPR 2019.
An implementation of our paper Dense Intrinsic Appearance Flow for Human Pose Transfer, CVPR 2019.
An implementation of our paper Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks, AAAI 2019 Oral.
An implementation of our paper Deep Network Interpolation for Continuous Imagery Effect Transition, arXiv preprint arXiv:1811.10515.
Open-MMLab Detection Toolbox, a codebase that was used by MMDet team, who won the COCO Detection 2018 Challenge.
Enhanced Super-Resolution Generative Adversarial Networks. With this model, we won the first place in PIRM2018-SR competition (region 3) and got the best perceptual index.
Enhanced Super-Resolution Generative Adversarial Networks, ECCV PIRM Workshop 2018
An implementation of our ECCV 2018 work, which presents a committee-based method for picking informative instances from unlabeled data for large-scale face recognition training.
Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition, ECCV 2018
An adversarial learning based model that performs automatic image enhancement. It only requires weak supervision (binary labels on image aesthetic quality) and is able to learn enhancement operators for the task of aesthetic-based image enhancement
Aesthetic-Driven Image Enhancement by Adversarial Learning, ACM MM 2018
A light-weight convolutional neural network for optical flow estimation. Over 30 times smaller in model size, and 1.36 times faster in speed than FlowNet2
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018
Image restoration by reinforcement learning
Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning, CVPR 2018
Single image super-resolution with image segmentation prior
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform, CVPR 2018
An image super-resolution toolkit that covers popular methods such as SRCNN, SRResNet, SRGAN, etc.
A simple block that can be used to perform profile-to-frontal face transformation in the deep feature space
Pose-Robust Face Recognition via Deep Residual Equivariant Mapping, CVPR 2018
A network tuning approach that allows image segmentation networks pre-trained with self-supervised learning to outperform the supervised learning counterpart
Mix-and-Match Tuning for Self-Supervised Semantic Segmentation, AAAI 2018
Generating new clothing on a wearer through generative adversarial learning
Be Your Own Prada: Fashion Synthesis with Structural Coherence, ICCV 2017
Large Margin Local Embedding, a method for learning deep represenatation from data with imbalanced class distribution through quintuplet sampling and triple-header hinge loss
Learning Deep Representation for Imbalanced Classification, CVPR 2016
An end-to-end model named as Slicing CNN (S-CNN) for crowd video understanding
Slicing Convolutional Neural Network for Crowd Video Understanding, CVPR 2016
A deep convolutional neural network for human face hallucination
Deep Cascaded Bi-Network for Face Hallucination, ECCV 2016
A deep convolutional neural network for depth map image super-resolution
Depth Map Super Resolution by Deep Multi-Scale Guidance, ECCV 2016
A convolutional neural network for image super-resolution, faster than SRCNN
Accelerating the Super-Resolution Convolutional Neural Network, ECCV 2016
An implementation of our paper Deep Specialized Network for Illuminant Estimation, ECCV 2016
An initialization-free face alignment method that is robust to large pose variation
Face Alignment by Coarse-to-Fine Shape Searching, ICCV 2015
A convolutional neural network for reducing artifacts caused by image compression
Compression Artifacts Reduction by a Deep Convolutional Network, ICCV 2015
A two-branch CNN model (i.e. appearance branch and motion branch) for predicting 94 crowd attributes
Deeply Learned Attributes for Crowded Scene Understanding, CVPR 2015
The first convolutional neural network for single image super-resolution
Learning a Deep Convolutional Network for Image Super-Resolution, ECCV 2014
A deep convolutional neural network that simultaneously predicts facial landmarks and facial attributes
Facial Landmark Detection by Deep Multi-task Learning, ECCV 2014
Source code for scene independent group profiling in crowd
Scene-Independent Group Profiling in Crowd, CVPR 2014