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DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers
In this paper, we address the few-shot classification task from a new pe...
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TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation aims at learning a mapping betwe...
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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
This paper introduces a new learning-based approach for approximately so...
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Residual Knowledge Distillation
Knowledge distillation (KD) is one of the most potent ways for model com...
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Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances
Emotion is intrinsic to humans and consequently emotion understanding is...
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Interaction Relational Network for Mutual Action Recognition
Person-person mutual action recognition (also referred to as interaction...
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Deep Network Interpolation for Continuous Imagery Effect Transition
Deep convolutional neural network has demonstrated its capability of lea...
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Pluralistic Image Completion
Most image completion methods produce only one result for each masked in...
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Everybody's Talkin': Let Me Talk as You Want
We present a method to edit a target portrait footage by taking a sequen...
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What it Thinks is Important is Important: Robustness Transfers through Input Gradients
Adversarial perturbations are imperceptible changes to input pixels that...
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Visual Commonsense R-CNN
We present a novel unsupervised feature representation learning method, ...
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Spatial Fusion GAN for Image Synthesis
Recent advances in generative adversarial networks (GANs) have shown gre...
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Threats to Federated Learning: A Survey
With the emergence of data silos and popular privacy awareness, the trad...
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Learning to Cluster Faces via Confidence and Connectivity Estimation
Face clustering is an essential tool for exploiting the unlabeled face d...
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Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Since edge device failures (i.e., anomalies) seriously affect the produc...
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Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning
Model-Based Reinforcement Learning (MBRL) is one category of Reinforceme...
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Fine-Grained Instance-Level Sketch-Based Video Retrieval
Existing sketch-analysis work studies sketches depicting static objects ...
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Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation
In many practical transfer learning scenarios, the feature distribution ...
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CloudSegNet: A Deep Network for Nychthemeron Cloud Image Segmentation
We analyze clouds in the earth's atmosphere using ground-based sky camer...
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DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
In this paper, we present our on-going effort of constructing a large-sc...
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AI-GAN: Attack-Inspired Generation of Adversarial Examples
Adversarial examples that can fool deep models are mainly crafted by add...
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Learning to Compose Dynamic Tree Structures for Visual Contexts
We propose to compose dynamic tree structures that place the objects in ...
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Region Proposal by Guided Anchoring
Region anchors are the cornerstone of modern object detection techniques...
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Large Margin Multi-modal Multi-task Feature Extraction for Image Classification
The features used in many image analysis-based applications are frequent...
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Side-Aware Boundary Localization for More Precise Object Detection
Current object detection frameworks mainly rely on bounding box regressi...
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Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems
Backtracking search algorithms are often used to solve the Constraint Sa...
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Deep Robust Multilevel Semantic Cross-Modal Hashing
Hashing based cross-modal retrieval has recently made significant progre...
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Single Image Deraining: From Model-Based to Data-Driven and Beyond
Rain removal or deraining methods attempt to restore the clean backgroun...
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TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting
We present a lightweight video motion retargeting approach TransMoMo tha...
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Quantifying Explainability of Saliency Methods in Deep Neural Networks
One way to achieve eXplainable artificial intelligence (XAI) is through ...
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Easy Transfer Learning By Exploiting Intra-domain Structures
Transfer learning aims at transferring knowledge from a well-labeled dom...
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Kervolutional Neural Networks
Convolutional neural networks (CNNs) have enabled the state-of-the-art p...
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Feature Pyramid Transformer
Feature interactions across space and scales underpin modern visual reco...
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TSIT: A Simple and Versatile Framework for Image-to-Image Translation
We introduce a simple and versatile framework for image-to-image transla...
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Balanced Meta-Softmax for Long-Tailed Visual Recognition
Deep classifiers have achieved great success in visual recognition. Howe...
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Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences
Learning a matching function between two text sequences is a long standi...
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Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction
Spatial-temporal prediction is a fundamental problem for constructing sm...
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DEVDAN: Deep Evolving Denoising Autoencoder
The Denoising Autoencoder (DAE) enhances the flexibility of the data str...
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Jacobian Adversarially Regularized Networks for Robustness
Adversarial examples are crafted with imperceptible perturbations with t...
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Real or Not Real, that is the Question
While generative adversarial networks (GAN) have been widely adopted in ...
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Bi-directional Dermoscopic Feature Learning and Multi-scale Consistent Decision Fusion for Skin Lesion Segmentation
Accurate segmentation of skin lesion from dermoscopic images is a crucia...
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Recursive Visual Attention in Visual Dialog
Visual dialog is a challenging vision-language task, which requires the ...
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Building Ethics into Artificial Intelligence
As artificial intelligence (AI) systems become increasingly ubiquitous, ...
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Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain
The goal of transfer learning is to improve the performance of target le...
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Deep Flow-Guided Video Inpainting
Video inpainting, which aims at filling in missing regions of a video, r...
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GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition
Recent adversarial learning research has achieved very impressive progre...
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Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism
Cross-modal food retrieval is an important task to perform analysis of f...
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Knowledge Distillation Meets Self-Supervision
Knowledge distillation, which involves extracting the "dark knowledge" f...
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Transfer Metric Learning: Algorithms, Applications and Outlooks
Distance metric learning (DML) aims to find an appropriate way to reveal...
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Which Channel to Ask My Question? Personalized Customer Service Request Stream Routing using Deep Reinforcement Learning
Customer services are critical to all companies, as they may directly co...
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