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GTAE: Graph-Transformer based Auto-Encoders for Linguistic-Constrained Text Style Transfer
Non-parallel text style transfer has attracted increasing research inter...
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Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer
Prior highly-tuned image parsing models are usually studied in a certain...
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Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
Beyond generating long and topic-coherent paragraphs in traditional capt...
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AU-Expression Knowledge Constrained Representation Learning for Facial Expression Recognition
Recognizing human emotion/expressions automatically is quite an expected...
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REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement
When answering a question, people often draw upon their rich world knowl...
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Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
Human doctors with well-structured medical knowledge can diagnose a dise...
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Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition
Low-resource automatic speech recognition (ASR) is challenging, as the l...
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Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting
Crowd counting is a fundamental yet challenging problem, which desires r...
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Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
Although deep reinforcement learning (RL) has been successfully applied ...
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Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation
Panoptic segmentation is posed as a new popular test-bed for the state-o...
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A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning
Although deep convolutional neural networks (CNNs) have demonstrated rem...
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Semantically-Aligned Universal Tree-Structured Solver for Math Word Problems
A practical automatic textual math word problems (MWPs) solver should be...
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GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
Automatically evaluating dialogue coherence is a challenging but high-de...
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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
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Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Recognizing multiple labels of an image is a practical yet challenging t...
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Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos
Temporal grounding of natural language in untrimmed videos is a fundamen...
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Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Object detectors are usually trained with large amount of labeled data, ...
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Online Alternate Generator against Adversarial Attacks
The field of computer vision has witnessed phenomenal progress in recent...
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Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition
Existing vision-based action recognition is susceptible to occlusion and...
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Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
Multi-view clustering methods have been a focus in recent years because ...
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Component Divide-and-Conquer for Real-World Image Super-Resolution
In this paper, we present a large-scale Diverse Real-world image Super-R...
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Active Object Search
In this work, we investigate an Active Object Search (AOS) task that is ...
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Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition
Data inconsistency and bias are inevitable among different facial expres...
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Fine-Grained Image Captioning with Global-Local Discriminative Objective
Significant progress has been made in recent years in image captioning, ...
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EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning
Finding out the computational redundant part of a trained Deep Neural Ne...
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Bidirectional Graph Reasoning Network for Panoptic Segmentation
Recent researches on panoptic segmentation resort to a single end-to-end...
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Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking
The success of DNNs has driven the extensive applications of person re-i...
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Efficient Crowd Counting via Structured Knowledge Transfer
Crowd counting is an application-oriented task and its inference efficie...
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Linguistically Driven Graph Capsule Network for Visual Question Reasoning
Recently, studies of visual question answering have explored various arc...
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Learning Reinforced Agents with Counterfactual Simulation for Medical Automatic Diagnosis
Medical automatic diagnosis (MAD) aims to learn an agent that mimics the...
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DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
Different from traditional image super-resolution task, real image super...
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Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread
Recently deep convolutional neural networks have achieved significant su...
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Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video
Temporally language grounding in untrimmed videos is a newly-raised task...
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Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction
Due to the widespread applications in real-world scenarios, metro riders...
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An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
We focus on Unsupervised Domain Adaptation (UDA) for the task of semanti...
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Blockwisely Supervised Neural Architecture Search with Knowledge Distillation
Neural Architecture Search (NAS), aiming at automatically designing netw...
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Knowledge Graph Transfer Network for Few-Shot Recognition
Few-shot learning aims to learn novel categories from very few samples g...
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Generalizing Energy-based Generative ConvNets from Particle Evolution Perspective
Compared with Generative Adversarial Networks (GAN), the Energy-Based ge...
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Layout-Graph Reasoning for Fashion Landmark Detection
Detecting dense landmarks for diverse clothes, as a fundamental techniqu...
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Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning
Resembling the rapid learning capability of human, low-shot learning emp...
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Explainable High-order Visual Question Reasoning: A New Benchmark and Knowledge-routed Network
Explanation and high-order reasoning capabilities are crucial for real-w...
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ACFM: A Dynamic Spatial-Temporal Network for Traffic Prediction
As a crucial component in intelligent transportation systems, crowd flow...
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Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid
Matching clothing images from customers and online shopping stores has r...
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Crowd Counting with Deep Structured Scale Integration Network
Automatic estimation of the number of people in unconstrained crowded sc...
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Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition
Recognizing multiple labels of images is a practical and challenging tas...
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Semi-Supervised Video Salient Object Detection Using Pseudo-Labels
Deep learning-based video salient object detection has recently achieved...
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Learning Compact Target-Oriented Feature Representations for Visual Tracking
Many state-of-the-art trackers usually resort to the pretrained convolut...
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Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching
A broad range of cross-m-domain generation researches boil down to match...
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Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
(Unsupervised) Domain Adaptation (DA) seeks for classifying target insta...
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Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction
Taxi demand prediction has recently attracted increasing research intere...
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