
Learning Transferable Kinematic Dictionary for 3D Human Pose and Shape Reconstruction
Estimating 3D human pose and shape from a single image is highly underc...
read it

Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks
In an attempt to better understand structural benefits and generalizatio...
read it

IoU Attack: Towards Temporally Coherent BlackBox Adversarial Attack for Visual Object Tracking
Adversarial attack arises due to the vulnerability of deep neural networ...
read it

Continual Learning for Blind Image Quality Assessment
The explosive growth of image data facilitates the fast development of i...
read it

Achieving Adversarial Robustness Requires An Active Teacher
A new understanding of adversarial examples and adversarial robustness i...
read it

FIT: a Fast and Accurate Framework for Solving Medical Inquiring and Diagnosing Tasks
Automatic selfdiagnosis provides lowcost and accessible healthcare via...
read it

Languageguided Navigation via CrossModal Grounding and Alternate Adversarial Learning
The emerging visionandlanguage navigation (VLN) problem aims at learni...
read it

DEAL: Difficultyaware Active Learning for Semantic Segmentation
Active learning aims to address the paucity of labeled data by finding t...
read it

Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning
It is not clear yet why ADAMalike adaptive gradient algorithms suffer f...
read it

DistDGL: Distributed Graph Neural Network Training for BillionScale Graphs
Graph neural networks (GNN) have shown great success in learning from gr...
read it

Infrared target tracking based on proximal robust principal component analysis method
Infrared target tracking plays an important role in both civil and milit...
read it

Interpretable Neural Computation for RealWorld Compositional Visual Question Answering
There are two main lines of research on visual question answering (VQA):...
read it

Towards a Mathematical Understanding of Neural NetworkBased Machine Learning: what we know and what we don't
The purpose of this article is to review the achievements made in the la...
read it

Complexity Measures for Neural Networks with General Activation Functions Using Pathbased Norms
A simple approach is proposed to obtain complexity controls for neural n...
read it

A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms
The dynamic behavior of RMSprop and Adam algorithms is studied through a...
read it

The Slow Deterioration of the Generalization Error of the Random Feature Model
The random feature model exhibits a kind of resonance behavior when the ...
read it

Rethinking Image Deraining via Rain Streaks and Vapors
Single image deraining regards an input image as a fusion of a backgroun...
read it

Unsupervised Deep Representation Learning for RealTime Tracking
The advancement of visual tracking has continuously been brought by deep...
read it

Robust Tracking against Adversarial Attacks
While deep convolutional neural networks (CNNs) are vulnerable to advers...
read it

Semantic Equivalent Adversarial Data Augmentation for Visual Question Answering
Visual Question Answering (VQA) has achieved great success thanks to the...
read it

The QuenchingActivation Behavior of the Gradient Descent Dynamics for Twolayer Neural Network Models
A numerical and phenomenological study of the gradient descent (GD) algo...
read it

Accelerating MRI Reconstruction on TPUs
The advanced magnetic resonance (MR) image reconstructions such as the c...
read it

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data
Deep generative models often perform poorly in realworld applications d...
read it

DGLKE: Training Knowledge Graph Embeddings at Scale
Knowledge graphs have emerged as a key abstraction for organizing inform...
read it

Twostage model and optimal SISNR for monaural multispeaker speech separation in noisy environment
In daily listening environments, speech is always distorted by backgroun...
read it

A Meanfield Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth
Training deep neural networks with stochastic gradient descent (SGD) can...
read it

See More, Know More: Unsupervised Video Object Segmentation with CoAttention Siamese Networks
We introduce a novel network, called COattention Siamese Network (COSNe...
read it

Machine Learning from a Continuous Viewpoint
We present a continuous formulation of machine learning, as a problem in...
read it

On the Generalization Properties of Minimumnorm Solutions for Overparameterized Neural Network Models
We study the generalization properties of minimumnorm solutions for thr...
read it

Deep Image Deraining Via Intrinsic Rainy Image Priors and Multiscale Auxiliary Decoding
Different rain models and novel network structures have been proposed to...
read it

Global Convergence of Gradient Descent for Deep Linear Residual Networks
We analyze the global convergence of gradient descent for deep linear re...
read it

RealTime Correlation Tracking via Joint Model Compression and Transfer
Correlation filters (CF) have received considerable attention in visual ...
read it

Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Rain removal in images/videos is still an important task in computer vis...
read it

Barron Spaces and the Compositional Function Spaces for Neural Network Models
One of the key issues in the analysis of machine learning models is to i...
read it

Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skipconnections
The behavior of the gradient descent (GD) algorithm is analyzed for a de...
read it

A Comparative Analysis of the Optimization and Generalization Property of Twolayer Neural Network and Random Feature Models Under Gradient Descent Dynamics
A fairly comprehensive analysis is presented for the gradient descent dy...
read it

Unsupervised Deep Tracking
We propose an unsupervised visual tracking method in this paper. Differe...
read it

TargetAware Deep Tracking
Existing deep trackers mainly use convolutional neural networks pretrai...
read it

DepthAware Video Frame Interpolation
Video frame interpolation aims to synthesize nonexistent frames inbetwe...
read it

A Priori Estimates of the Population Risk for Residual Networks
Optimal a priori estimates are derived for the population risk of a regu...
read it

A Priori Estimates of the Generalization Error for Twolayer Neural Networks
New estimates for the generalization error are established for the twol...
read it

Deep Attentive Tracking via Reciprocative Learning
Visual attention, derived from cognitive neuroscience, facilitates human...
read it

PersonJob Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning
PersonJob Fit is the process of matching the right talent for the right...
read it

EDDI: Efficient Dynamic Discovery of HighValue Information with Partial VAE
Making decisions requires information relevant to the task at hand. Many...
read it

Model Reduction with Memory and the Machine Learning of Dynamical Systems
The wellknown MoriZwanzig theory tells us that model reduction leads t...
read it

Joint Neural Entity Disambiguation with Output Space Search
In this paper, we present a novel model for entity disambiguation that c...
read it

Variational Implicit Processes
This paper introduces the variational implicit processes (VIPs), a Bayes...
read it

VITAL: VIsual Tracking via Adversarial Learning
The trackingbydetection framework consists of two stages, i.e., drawin...
read it

CREST: Convolutional Residual Learning for Visual Tracking
Discriminative correlation filters (DCFs) have been shown to perform sup...
read it

Visual Question Answering with MemoryAugmented Networks
This paper exploits a memoryaugmented neural network to predict accurat...
read it
Chao Ma
is this you? claim profile