Ling Shao

Face De-Occlusion With Deep Cascade Guidance Learning
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WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
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A Survey of Label-Efficient Deep Learning for 3D Point Clouds
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Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition
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Visual-Semantic Aligned Bidirectional Network for Zero-Shot Learning
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Latent Domain Generation for Unsupervised Domain Adaptation Object Counting
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Learning to Generalize across Domains on Single Test Samples
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Bipartite Graph Reasoning GANs for Person Pose and Facial Image Synthesis
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Supplementary Materials for “Variational Multi-Task Learning with Gumbel-Softmax Priors”
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Pedestrian Detection: Domain Generalization, CNNs, Transformers and Beyond
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Zero-Shot Learning With Attentive Region Embedding and Enhanced Semantics
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Highly Accurate Dichotomous Image Segmentation
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Generalized Brain Image Synthesis with Transferable Convolutional Sparse Coding Networks
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Local and Global GANs with Semantic-Aware Upsampling for Image Generation
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Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
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Zero-shot learning via a specific rank-controlled semantic autoencoder
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Evolutionary Generalized Zero-Shot Learning
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A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning
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Leveraging Balanced Semantic Embedding for Generative Zero-Shot Learning
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Learning Enriched Features for Fast Image Restoration and Enhancement
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Learning Non-target Knowledge for Few-shot Semantic Segmentation
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VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization
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GNDAN: Graph Navigated Dual Attention Network for Zero-Shot Learning
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RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection
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Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation
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Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition
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Weakly Supervised Visual Saliency Prediction
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Spatial-Temporal Pyramid Graph Reasoning for Action Recognition
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Dynamic Tri-Level Relation Mining With Attentive Graph for Visible Infrared Re-Identification
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Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
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SCG: Saliency and Contour Guided Salient Instance Segmentation
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Deep Unsupervised Self-Evolutionary Hashing for Image Retrieval
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When Liebig's Barrel Meets Facial Landmark Detection: A Practical Model
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From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point Decoder
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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DONet: Dual-Octave Network for Fast MR Image Reconstruction
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Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
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Built-in Depth-Semantic Coupled Encoding for Scene Parsing, Vehicle Detection, and Road Segmentation
202119 citationsauthor #3
Supplementary Material: Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
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Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification
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Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection
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Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement
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Instance-Level Relative Saliency Ranking With Graph Reasoning
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Anchor-Free Person Search
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VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning
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Distilling a Powerful Student Model via Online Knowledge Distillation
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The Ninth Visual Object Tracking VOT2021 Challenge Results
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Variational Abnormal Behavior Detection With Motion Consistency
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Transformer-Based Deep Image Matching for Generalizable Person Re-identification
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M3DSSD: Monocular 3D Single Stage Object Detector
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MetaKernel: Learning Variational Random Features With Limited Labels
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Learning Deformable and Attentive Network for image restoration
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Generative Kernel Continual learning
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Visual Saliency Transformer
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Progressively Normalized Self-Attention Network for Video Polyp Segmentation
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Brain Image Synthesis with Unsupervised Multivariate Canonical CSC ℓ4Net
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Sparse Needlets for Lighting Estimation with Spherical Transport Loss
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TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification
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A Facial Landmark Detection Method Based on Deep Knowledge Transfer
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Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation
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You Never Cluster Alone
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Kernel Continual Learning
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ReCU: Reviving the Dead Weights in Binary Neural Networks
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Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
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FREE: Feature Refinement for Generalized Zero-Shot Learning
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Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance
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Local-to-Global Self-Attention in Vision Transformers
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ISTR: End-to-End Instance Segmentation with Transformers
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A Coarse-to-Fine Facial Landmark Detection Method Based on Self-attention Mechanism
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AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
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GMLight: Lighting Estimation via Geometric Distribution Approximation
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Understanding More About Human and Machine Attention in Deep Neural Networks
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Salient Object Detection via Integrity Learning
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P2V-RCNN: Point to Voxel Feature Learning for 3D Object Detection From Point Clouds
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Deep-Learned Regularization and Proximal Operator for Image Compressive Sensing
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Hierarchical Variational Memory for Few-shot Learning Across Domains
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Fine-Grained Categorization From RGB-D Images
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TransZero++: Cross Attribute-Guided Transformer for Zero-Shot Learning
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MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
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Semi-Supervised Perception Augmentation for Aerial Photo Topologies Understanding
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Salient Objects in Clutter
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A plug-in attribute correction module for generalized zero-shot learning
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Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation
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A Generalized Method for Binary Optimization: Convergence Analysis and Applications
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GuidedMix-Net: Semi-supervised Semantic Segmentation by Using Labeled Images as Reference
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Group Collaborative Learning for Co-Salient Object Detection
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Discriminative Region-based Multi-Label Zero-Shot Learning
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Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
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ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks
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ASOD60K: Audio-Induced Salient Object Detection in Panoramic Videos
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Attentional Prototype Inference for Few-Shot Semantic Segmentation
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NTIRE 2021 NonHomogeneous Dehazing Challenge Report
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Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning
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A Bayesian Federated Learning Framework With Online Laplace Approximation
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Transformer-Based Source-Free Domain Adaptation
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Full-duplex strategy for video object segmentation
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Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
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Global-Local Context Network for Person Search
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Interpretability-Driven Sample Selection Using Self Supervised Learning for Disease Classification and Segmentation
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Variational Topic Inference for Chest X-Ray Report Generation
202134 citationsauthor #4

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