
-
Graph Wavelet Neural Network
We present graph wavelet neural network (GWNN), a novel graph convolutio...
read it
-
Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation
Image-level weakly supervised semantic segmentation is a challenging pro...
read it
-
Learning a Self-inverse Network for Unpaired Bidirectional Image-to-image Translation
Recently image-to-image translation has attracted significant interests ...
read it
-
Pixel-Semantic Revise of Position Learning A One-Stage Object Detector with A Shared Encoder-Decoder
We analyze that different methods based channel or position attention me...
read it
-
Style Separation and Synthesis via Generative Adversarial Networks
Style synthesis attracts great interests recently, while few works focus...
read it
-
Easy Transfer Learning By Exploiting Intra-domain Structures
Transfer learning aims at transferring knowledge from a well-labeled dom...
read it
-
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation
The one-to-one mapping is necessary for many bidirectional image-to-imag...
read it
-
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Most of existing salient object detection models have achieved great pro...
read it
-
UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
We propose UniViLM: a Unified Video and Language pre-training Model for ...
read it
-
Marginal loss and exclusion loss for partially supervised multi-organ segmentation
Annotating multiple organs in medical images is both costly and time-con...
read it
-
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation has attracted much research inte...
read it
-
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
Solving long-tail large vocabulary object detection with deep learning b...
read it
-
Tattoo Image Search at Scale: Joint Detection and Compact Representation Learning
The explosive growth of digital images in video surveillance and social ...
read it
-
Knowledge-guided Pairwise Reconstruction Network for Weakly Supervised Referring Expression Grounding
Weakly supervised referring expression grounding (REG) aims at localizin...
read it
-
Learning from Suspected Target: Bootstrapping Performance for Breast Cancer Detection in Mammography
Deep learning object detection algorithm has been widely used in medical...
read it
-
Learning Effective RGB-D Representations for Scene Recognition
Deep convolutional networks (CNN) can achieve impressive results on RGB ...
read it
-
Radiative Transport Based Flame Volume Reconstruction from Videos
We introduce a novel approach for flame volume reconstruction from video...
read it
-
CGNet: A Light-weight Context Guided Network for Semantic Segmentation
The demand of applying semantic segmentation model on mobile devices has...
read it
-
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Many recently developed object detectors focused on coarse-to-fine frame...
read it
-
Temporal Knowledge Propagation for Image-to-Video Person Re-identification
In many scenarios of Person Re-identification (Re-ID), the gallery set c...
read it
-
Transfer Learning with Dynamic Distribution Adaptation
Transfer learning aims to learn robust classifiers for the target domain...
read it
-
Visual Domain Adaptation with Manifold Embedded Distribution Alignment
Visual domain adaptation aims to learn robust classifiers for the target...
read it
-
Dense Scale Network for Crowd Counting
Crowd counting has been widely studied by computer vision community in r...
read it
-
Mesh Variational Autoencoders with Edge Contraction Pooling
3D shape analysis is an important research topic in computer vision and ...
read it
-
DeepACC:Automate Chromosome Classification based on Metaphase Images using Deep Learning Framework Fused with Prior Knowledge
Chromosome classification is an important but difficult and tedious task...
read it
-
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Graph neural networks (GNNs) achieve remarkable success in graph-based s...
read it
-
Utilizing the Instability in Weakly Supervised Object Detection
Weakly supervised object detection (WSOD) focuses on training object det...
read it
-
Interaction-and-Aggregation Network for Person Re-identification
Person re-identification (reID) benefits greatly from deep convolutional...
read it
-
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
Siamese network based trackers formulate tracking as convolutional featu...
read it
-
Harmonic Unpaired Image-to-image Translation
The recent direction of unpaired image-to-image translation is on one ha...
read it
-
Consensus Feature Network for Scene Parsing
Scene parsing is challenging as it aims to assign one of the semantic ca...
read it
-
From Two Graphs to N Questions: A VQA Dataset for Compositional Reasoning on Vision and Commonsense
Visual Question Answering (VQA) is a challenging task for evaluating the...
read it
-
VRSTC: Occlusion-Free Video Person Re-Identification
Video person re-identification (re-ID) plays an important role in survei...
read it
-
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Accurate day-ahead individual resident load forecasting is very importan...
read it
-
Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning
Face presentation attack detection (PAD) has been an urgent problem to b...
read it
-
Shift-Net: Image Inpainting via Deep Feature Rearrangement
Deep convolutional networks (CNNs) have exhibited their potential in ima...
read it
-
Tree-structured Kronecker Convolutional Networks for Semantic Segmentation
Most existing semantic segmentation methods employ atrous convolution to...
read it
-
Deep Line Art Video Colorization with a Few References
Coloring line art images based on the colors of reference images is an i...
read it
-
PosNeg-Balanced Anchors with Aligned Features for Single-Shot Object Detection
We introduce a novel single-shot object detector to ease the imbalance o...
read it
-
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding
We address the problem of accelerating thin-shell deformable object simu...
read it
-
DWM: A Decomposable Winograd Method for Convolution Acceleration
Winograd's minimal filtering algorithm has been widely used in Convoluti...
read it
-
Graph Factorization Machines for Cross-Domain Recommendation
Recently, graph neural networks (GNNs) have been successfully applied to...
read it
-
BestConfig: Tapping the Performance Potential of Systems via Automatic Configuration Tuning
An ever increasing number of configuration parameters are provided to sy...
read it
-
Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks
Prediction of popularity has profound impact for social media, since it ...
read it
-
Locally Smoothed Neural Networks
Convolutional Neural Networks (CNN) and the locally connected layer are ...
read it
-
Deep Learning for Sensor-based Activity Recognition: A Survey
Sensor-based activity recognition seeks the profound high-level knowledg...
read it
-
A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions
Tracking humans that are interacting with the other subjects or environm...
read it
-
Weighted parallel SGD for distributed unbalanced-workload training system
Stochastic gradient descent (SGD) is a popular stochastic optimization m...
read it
-
Fast and Efficient Calculations of Structural Invariants of Chirality
Chirality plays an important role in physics, chemistry, biology, and ot...
read it
-
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Semantic matching, which aims to determine the matching degree between t...
read it