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Stable Prediction with Model Misspecification and Agnostic Distribution Shift
For many machine learning algorithms, two main assumptions are required ...
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Distillating Knowledge from Graph Convolutional Networks
Existing knowledge distillation methods focus on convolutional neural ne...
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FcaNet: Frequency Channel Attention Networks
Attention mechanism, especially channel attention, has gained great succ...
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Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Knowledge graph embedding aims to learn distributed representations for ...
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Person-in-WiFi: Fine-grained Person Perception using WiFi
Fine-grained person perception such as body segmentation and pose estima...
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Stable Prediction via Leveraging Seed Variable
In this paper, we focus on the problem of stable prediction across unkno...
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
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Vehicle Re-Identification Based on Complementary Features
In this work, we present our solution to the vehicle re-identification (...
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Monte Carlo Neural Fictitious Self-Play: Achieve Approximate Nash equilibrium of Imperfect-Information Games
Researchers on artificial intelligence have achieved human-level intelli...
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Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
This paper proposes an unsupervised address event representation (AER) o...
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Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
Dialog State Tracking (DST) is a core component in task-oriented dialog ...
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Progressive Feature Polishing Network for Salient Object Detection
Feature matters for salient object detection. Existing methods mainly fo...
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Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning
Relation extraction aims to extract relational facts from sentences. Pre...
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BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks
While deep learning has recently achieved great success on multi-view st...
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Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation
Deep learning has been widely used for hyperspectral pixel classificatio...
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Online Knowledge Distillation with Diverse Peers
Distillation is an effective knowledge-transfer technique that uses pred...
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EmbedMask: Embedding Coupling for One-stage Instance Segmentation
Current instance segmentation methods can be categorized into segmentati...
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PASS3D: Precise and Accelerated Semantic Segmentation for 3D Point Cloud
In this paper, we propose PASS3D to achieve point-wise semantic segmenta...
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PI-RCNN: An Efficient Multi-sensor 3D Object Detector with Point-based Attentive Cont-conv Fusion Module
LIDAR point clouds and RGB-images are both extremely essential for 3D ob...
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Appearance Composing GAN: A General Method for Appearance-Controllable Human Video Motion Transfer
Due to the rapid development of GANs, there has been significant progres...
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Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
This paper addresses the problem of 3D pose estimation for multiple peop...
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TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
We aim at solving the problem of predicting people's ideology, or politi...
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Policy Optimization with Stochastic Mirror Descent
Stochastic mirror descent (SMD) keeps the advantages of simplicity of im...
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Adaptive Graph Representation Learning for Video Person Re-identification
Recent years have witnessed a great development of deep learning based v...
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Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
Recently, Convolutional Neural Networks (CNNs) have been successfully ad...
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DASNet: Dual attentive fully convolutional siamese networks for change detection of high resolution satellite images
Change detection is a basic task of remote sensing image processing. The...
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EllipBody: A Light-weight and Part-based Representation for Human Pose and Shape Recovery
Human pose and shape recovery is an important task in computer vision an...
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Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Effective fusion of complementary information captured by multi-modal se...
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R^2-CNN: Fast Tiny Object Detection in Large-scale Remote Sensing Images
Recently, convolutional neural network has brought impressive improvemen...
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Cross-Spectrum Dual-Subspace Pairing for RGB-infrared Cross-Modality Person Re-Identification
Due to its potential wide applications in video surveillance and other c...
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Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation
To satisfy the stringent requirements on computational resources in the ...
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A Dataset for Evaluating Multi-spectral Motion Estimation Methods
Visible images have been widely used for indoor motion estimation. Therm...
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Beyond Product Quantization: Deep Progressive Quantization for Image Retrieval
Product Quantization (PQ) has long been a mainstream for generating an e...
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Diversified Arbitrary Style Transfer via Deep Feature Perturbation
Image style transfer is an underdetermined problem, where a large number...
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Data-Free Adversarial Distillation
Knowledge Distillation (KD) has made remarkable progress in the last few...
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AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks
Generative Adversarial Networks (GANs) are formulated as minimax game pr...
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Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Federated learning (FL) has recently emerged as a new form of collaborat...
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Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting
Many approaches have recently been proposed to detect irregular scene te...
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Unsupervised Facial Action Unit Intensity Estimation via Differentiable Optimization
The automatic intensity estimation of facial action units (AUs) from a s...
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Physics-informed semantic inpainting: Application to geostatistical modeling
A fundamental problem in geostatistical modeling is to infer the heterog...
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3D Point-to-Keypoint Voting Network for 6D Pose Estimation
Object 6D pose estimation is an important research topic in the field of...
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Adaptive Fusion for RGB-D Salient Object Detection
RGB-D salient object detection aims to identify the most visually distin...
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Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering
Recently, distant supervision has gained great success on Fine-grained E...
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A Co-analysis Framework for Exploring Multivariate Scientific Data
In complex multivariate data sets, different features usually include di...
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Face-to-Parameter Translation for Game Character Auto-Creation
Character customization system is an important component in Role-Playing...
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Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing high-quality generative models for 3D shapes is a fundament...
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Super Resolution Using Segmentation-Prior Self-Attention Generative Adversarial Network
Convolutional Neural Network (CNN) is intensively implemented to solve s...
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Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Automatic blood vessel extraction from 3D medical images is crucial for ...
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SuPer: A Surgical Perception Framework for Endoscopic Tissue Manipulation with Surgical Robotics
Traditional control and task automation have been successfully demonstra...
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Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset
Understanding interior scenes has attracted enormous interest in compute...
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