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Action Machine: Rethinking Action Recognition in Trimmed Videos
Existing methods in video action recognition mostly do not distinguish h...
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Attribute Guided Unpaired Image-to-Image Translation with Semi-supervised Learning
Unpaired Image-to-Image Translation (UIT) focuses on translating images ...
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Noise2Blur: Online Noise Extraction and Denoising
We propose a new framework called Noise2Blur (N2B) for training robust i...
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End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
Event cameras, which are asynchronous bio-inspired vision sensors, have ...
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A Real-time Global Inference Network for One-stage Referring Expression Comprehension
Referring Expression Comprehension (REC) is an emerging research spot in...
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Semantic Neural Machine Translation using AMR
It is intuitive that semantic representations can be useful for machine ...
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LO-Net: Deep Real-time Lidar Odometry
We present a novel deep convolutional network pipeline, LO-Net, for real...
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Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Fully exploring correlation among points in point clouds is essential fo...
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A Deep Tree-Structured Fusion Model for Single Image Deraining
We propose a simple yet effective deep tree-structured fusion model base...
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Exploiting Temporal Relationships in Video Moment Localization with Natural Language
We address the problem of video moment localization with natural languag...
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Filter Grafting for Deep Neural Networks
This paper proposes a new learning paradigm called filter grafting, whic...
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Meta Segmentation Network for Ultra-Resolution Medical Images
Despite recent progress on semantic segmentation, there still exist huge...
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VPC-Net: Completion of 3D Vehicles from MLS Point Clouds
Vehicles are the most concerned investigation target as a dynamic and es...
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Shallow2Deep: Indoor Scene Modeling by Single Image Understanding
Dense indoor scene modeling from 2D images has been bottlenecked due to ...
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Fast Learning of Temporal Action Proposal via Dense Boundary Generator
Generating temporal action proposals remains a very challenging problem,...
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RF-Net: An End-to-End Image Matching Network based on Receptive Field
This paper proposes a new end-to-end trainable matching network based on...
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Deeply Activated Salient Region for Instance Search
Due to the lack of suitable feature representation, effective solution t...
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Novelty Detection via Non-Adversarial Generative Network
One-class novelty detection is the process of determining if a query exa...
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Learning to Adapt Invariance in Memory for Person Re-identification
This work considers the problem of unsupervised domain adaptation in per...
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HRank: Filter Pruning using High-Rank Feature Map
Neural network pruning offers a promising prospect to facilitate deployi...
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Continual Local Replacement for Few-shot Image Recognition
The goal of few-shot learning is to learn a model that can recognize nov...
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Hypergraph Optimization for Multi-structural Geometric Model Fitting
Recently, some hypergraph-based methods have been proposed to deal with ...
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Hallucinated Adversarial Learning for Robust Visual Tracking
Humans can easily learn new concepts from just a single exemplar, mainly...
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Siamese Box Adaptive Network for Visual Tracking
Most of the existing trackers usually rely on either a multi-scale searc...
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Fast and Secure Distributed Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) has been successfully applied in ...
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Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding
Despite deep convolutional neural networks achieved impressive progress ...
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Harmonizing Transferability and Discriminability for Adapting Object Detectors
Recent advances in adaptive object detection have achieved compelling re...
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A Fast Face Detection Method via Convolutional Neural Network
Current face or object detection methods via convolutional neural networ...
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Residual-Guide Feature Fusion Network for Single Image Deraining
Single image rain streaks removal is extremely important since rainy ima...
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Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification
Deep Neural Network (DNN) has recently achieved outstanding performance ...
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Bi-GANs-ST for Perceptual Image Super-resolution
Image quality measurement is a critical problem for image super-resoluti...
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Distribution Distillation Loss: Generic Approach for Improving Face Recognition from Hard Samples
Large facial variations are the main challenge in face recognition. To t...
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Camera Style Adaptation for Person Re-identification
Being a cross-camera retrieval task, person re-identification suffers fr...
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Action-Attending Graphic Neural Network
The motion analysis of human skeletons is crucial for human action recog...
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Traffic Sign Timely Visual Recognizability Evaluation Based on 3D Measurable Point Clouds
The timely provision of traffic sign information to drivers is essential...
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Robust Kernelized Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Most recently, tensor-SVD is implemented on multi-view self-representati...
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Joint Hierarchical Category Structure Learning and Large-Scale Image Classification
We investigate the scalable image classification problem with a large nu...
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Fast k-means based on KNN Graph
In the era of big data, k-means clustering has been widely adopted as a ...
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Volume Calculation of CT lung Lesions based on Halton Low-discrepancy Sequences
Volume calculation from the Computed Tomography (CT) lung lesions data i...
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Selecting Bases in Spectral learning of Predictive State Representations via Model Entropy
Predictive State Representations (PSRs) are powerful techniques for mode...
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Automatic Image Cropping for Visual Aesthetic Enhancement Using Deep Neural Networks and Cascaded Regression
Despite recent progress, computational visual aesthetic is still challen...
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Scalable Nearest Neighbor Search based on kNN Graph
Nearest neighbor search is known as a challenging issue that has been st...
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Re-ranking Person Re-identification with k-reciprocal Encoding
When considering person re-identification (re-ID) as a retrieval process...
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Hankel Matrix Nuclear Norm Regularized Tensor Completion for N-dimensional Exponential Signals
Signals are generally modeled as a superposition of exponential function...
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Ordinal Constrained Binary Code Learning for Nearest Neighbor Search
Recent years have witnessed extensive attention in binary code learning,...
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On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
In this paper, we address the multi-view subspace clustering problem. Ou...
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Boost K-Means
Due to its simplicity and versatility, k-means remains popular since it ...
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Clearing the Skies: A deep network architecture for single-image rain removal
We introduce a deep network architecture called DerainNet for removing r...
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Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction
This paper explores robust recovery of a superposition of R distinct com...
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Robust Scene Text Recognition Using Sparse Coding based Features
In this paper, we propose an effective scene text recognition method usi...
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