Feng Wu

最新

Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation
DDOD: Dive Deeper into the Disentanglement of Object Detector
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
Prototype-Augmented Self-Supervised Generative Network for Generalized Zero-Shot Learning
Continual Image Deraining With Hypergraph Convolutional Networks
Image De-Raining Transformer
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation
Unsupervised Underexposed Image Enhancement via Self-Illuminated and Perceptual Guidance
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation
Context-Aware Visual Policy Network for Fine-Grained Image Captioning
Cross-modal Semantic Alignment Pre-training for Vision-and-Language Navigation
Multi-grained Spatio-Temporal Features Perceived Network for Event-based Lip-Reading
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
Semi-Supervised Neuron Segmentation via Reinforced Consistency Learning
Stochastic Window Transformer for Image Restoration
Disentangle Your Dense Object Detector
Learning Neuron Stitching for Connectomics
Leveraging Deep Statistics for Underwater Image Enhancement
Multifocal Attention-Based Cross-Scale Network for Image De-raining
Successive Graph Convolutional Network for Image De-raining
Training Spiking Neural Networks with Accumulated Spiking Flow
Weakly Supervised Neuron Reconstruction From Optical Microscopy Images With Morphological Priors
Adversarial Attribute-Text Embedding for Person Search With Natural Language Query
Deep Structure-Revealed Network for Texture Recognition
Isotropic Reconstruction of 3D EM Images with Unsupervised Degradation Learning
Neuronal Population Reconstruction From Ultra-Scale Optical Microscopy Images via Progressive Learning
Real-World Image Denoising with Deep Boosting
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning
Towards Neuron Segmentation from Macaque Brain Images: A Weakly Supervised Approach
Towards Semantically Scalable Image Coding using Semantic Map
A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels
Accurate Segmentation of Synaptic Cleft with Contour Growing Concatenated with a Convnet
Camera Lens Super-Resolution
Densely Supervised Hierarchical Policy-Value Network for Image Paragraph Generation
Fast and Accurate Electron Microscopy Image Registration with 3D Convolution
Hierarchical Global-Local Temporal Modeling for Video Captioning
Instance Segmentation from Volumetric Biomedical Images Without Voxel-Wise Labeling
JPEG Artifacts Reduction via Deep Convolutional Sparse Coding
Knowing User Better: Jointly Predicting Click-Through and Playtime for Micro-Video
Learning to Assemble Neural Module Tree Networks for Visual Grounding
LinesToFacePhoto: Face Photo Generation From Lines With Conditional Self-Attention Generative Adversarial Networks
Neural Network-Based Arithmetic Coding for Inter Prediction Information in HEVC
Progressive Learning for Neuronal Population Reconstruction from Optical Microscopy Images
Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low-Light Image Enhancement
Structure Generation and Guidance Network for Unsupervised Monocular Depth Estimation
3D Cnn-Based Soma Segmentation from Brain Images at Single-Neuron Resolution
A CNN-Based In-Loop Filter with CU Classification for HEVC
Context-Aware Visual Policy Network for Sequence-Level Image Captioning
Deep Residual Attention Network for Spectral Image Super-Resolution
LA-Net: Layout-Aware Dense Network for Monocular Depth Estimation
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
Progressive tone mapping of brain images at single-neuron resolution