Dacheng Tao

Heatmap Regression via Randomized Rounding

Heatmap regression has become the mainstream methodology for deep learni...
09/01/2020 ∙ by Baosheng Yu, et al. ∙ 55 ∙ share

read it
Adaptive Context-Aware Multi-Modal Network for Depth Completion

Depth completion aims to recover a dense depth map from the sparse depth...
08/25/2020 ∙ by Shanshan Zhao, et al. ∙ 0 ∙ share

read it
Nighttime Dehazing with a Synthetic Benchmark

Increasing the visibility of nighttime hazy images is challenging becaus...
08/10/2020 ∙ by Jing Zhang, et al. ∙ 11 ∙ share

read it
Recurrent Feature Reasoning for Image Inpainting

Existing inpainting methods have achieved promising performance for reco...
08/09/2020 ∙ by Jingyuan Li, et al. ∙ 20 ∙ share

read it
Polysemy Deciphering Network for Robust Human-Object Interaction Detection

Human-Object Interaction (HOI) detection is important to human-centric s...
08/07/2020 ∙ by Xubin Zhong, et al. ∙ 0 ∙ share

read it
Approximated Bilinear Modules for Temporal Modeling

We consider two less-emphasized temporal properties of video: 1. Tempora...
07/25/2020 ∙ by Xinqi Zhu, et al. ∙ 2 ∙ share

read it
Learning Disentangled Representations with Latent Variation Predictability

Latent traversal is a popular approach to visualize the disentangled lat...
07/25/2020 ∙ by Xinqi Zhu, et al. ∙ 13 ∙ share

read it
Visual Compositional Learning for Human-Object Interaction Detection

Human-Object interaction (HOI) detection aims to localize and infer rela...
07/24/2020 ∙ by Zhi Hou, et al. ∙ 0 ∙ share

read it
Quantum differentially private sparse regression learning

Differentially private (DP) learning, which aims to accurately extract p...
07/23/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

read it
Symbiotic Adversarial Learning for Attribute-based Person Search

Attribute-based person search is in significant demand for applications ...
07/19/2020 ∙ by Yu-Tong Cao, et al. ∙ 6 ∙ share

read it
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms

This paper studies the relationship between generalization and privacy p...
07/18/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

read it
Quantum Geometric Machine Learning for Quantum Circuits and Control

The application of machine learning techniques to solve problems in quan...
06/19/2020 ∙ by Elija Perrier, et al. ∙ 0 ∙ share

read it
Parts-dependent Label Noise: Towards Instance-dependent Label Noise

Learning with the instance-dependent label noise is challenging, because...
06/14/2020 ∙ by Xiaobo Xia, et al. ∙ 0 ∙ share

read it
Condensing Two-stage Detection with Automatic Object Key Part Discovery

Modern two-stage object detectors generally require excessively large mo...
06/10/2020 ∙ by Zhe Chen, et al. ∙ 0 ∙ share

read it
Knowledge Distillation: A Survey

In recent years, deep neural networks have been very successful in the f...
06/09/2020 ∙ by Jianping Gou, et al. ∙ 0 ∙ share

read it
Boundary-assisted Region Proposal Networks for Nucleus Segmentation

Nucleus segmentation is an important task in medical image analysis. How...
06/04/2020 ∙ by Shengcong Chen, et al. ∙ 0 ∙ share

read it
DC-NAS: Divide-and-Conquer Neural Architecture Search

Most applications demand high-performance deep neural architectures cost...
05/29/2020 ∙ by Yunhe Wang, et al. ∙ 0 ∙ share

read it
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Neural Architecture Search (NAS) refers to automatically design the arch...
05/29/2020 ∙ by Zhaohui Yang, et al. ∙ 12 ∙ share

read it
Adversarial Attacks for Embodied Agents

Adversarial attacks are valuable for providing insights into the blind-s...
05/19/2020 ∙ by Aishan Liu, et al. ∙ 40 ∙ share

read it
Self-Attention with Cross-Lingual Position Representation

Position encoding (PE), an essential part of self-attention networks (SA...
04/28/2020 ∙ by Liang Ding, et al. ∙ 0 ∙ share

read it
Deep Multimodal Neural Architecture Search

Designing effective neural networks is fundamentally important in deep m...
04/25/2020 ∙ by Zhou Yu, et al. ∙ 17 ∙ share

read it
Repulsive Mixture Models of Exponential Family PCA for Clustering

The mixture extension of exponential family principal component analysis...
04/07/2020 ∙ by Maoying Qiao, et al. ∙ 0 ∙ share

read it
Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach

Community is a common characteristic of networks including social networ...
04/06/2020 ∙ by Maoying Qiao, et al. ∙ 0 ∙ share

read it
Learning Oracle Attention for High-fidelity Face Completion

High-fidelity face completion is a challenging task due to the rich and ...
03/31/2020 ∙ by Tong Zhou, et al. ∙ 0 ∙ share

read it
GPS-Net: Graph Property Sensing Network for Scene Graph Generation

Scene graph generation (SGG) aims to detect objects in an image along wi...
03/29/2020 ∙ by Xin Lin, et al. ∙ 0 ∙ share

read it
Piecewise linear activations substantially shape the loss surfaces of neural networks

Understanding the loss surface of a neural network is fundamentally impo...
03/27/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

read it
Distillating Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...
03/23/2020 ∙ by Yiding Yang, et al. ∙ 70 ∙ share

read it
Distilling Knowledge from Graph Convolutional Networks

Existing knowledge distillation methods focus on convolutional neural ne...
03/23/2020 ∙ by Yiding Yang, et al. ∙ 0 ∙ share

read it
Quantum noise protects quantum classifiers against adversaries

Noise in quantum information processing is often viewed as a disruptive ...
03/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

read it
Multi-task Learning with Coarse Priors for Robust Part-aware Person Re-identification

Part-level representations are important for robust person re-identifica...
03/18/2020 ∙ by Changxing Ding, et al. ∙ 0 ∙ share

read it
A Spatial-Temporal Attentive Network with Spatial Continuity for Trajectory Prediction

It remains challenging to automatically predict the multi-agent trajecto...
03/13/2020 ∙ by Beihao Xia, et al. ∙ 0 ∙ share

read it
Towards Mixture Proportion Estimation without Irreducibility

Mixture proportion estimation (MPE) is a fundamental problem of practica...
02/10/2020 ∙ by Yu Yao, et al. ∙ 1 ∙ share

read it
On Positive-Unlabeled Classification in GAN

This paper defines a positive and unlabeled classification problem for s...
02/04/2020 ∙ by Tianyu Guo, et al. ∙ 6 ∙ share

read it
Towards High Performance Human Keypoint Detection

Human keypoint detection from a single image is very challenging due to ...
02/03/2020 ∙ by Jing Zhang, et al. ∙ 10 ∙ share

read it
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

Generative adversarial networks (GANs) are a hot research topic recently...
01/20/2020 ∙ by Jie Gui, et al. ∙ 75 ∙ share

read it
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20)

This is the Proceedings of the AAAI-20 Workshop on Intelligent Process A...
01/15/2020 ∙ by Dell Zhang, et al. ∙ 0 ∙ share

read it
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Deep learning-based computer vision is usually data-hungry. Many researc...
12/15/2019 ∙ by Zhe Chen, et al. ∙ 23 ∙ share

read it
Transform-Invariant Convolutional Neural Networks for Image Classification and Search

Convolutional neural networks (CNNs) have achieved state-of-the-art resu...
11/28/2019 ∙ by Xu Shen, et al. ∙ 32 ∙ share

read it
Patch Reordering: a Novel Way to Achieve Rotation and Translation Invariance in Convolutional Neural Networks

Convolutional Neural Networks (CNNs) have demonstrated state-of-the-art ...
11/28/2019 ∙ by Xu Shen, et al. ∙ 21 ∙ share

read it
Continuous Dropout

Dropout has been proven to be an effective algorithm for training robust...
11/28/2019 ∙ by Xu Shen, et al. ∙ 16 ∙ share

read it
An End-to-end Framework for Unconstrained Monocular 3D Hand Pose Estimation

This work addresses the challenging problem of unconstrained 3D hand pos...
11/28/2019 ∙ by Sanjeev Sharma, et al. ∙ 4 ∙ share

read it
All you need is a good representation: A multi-level and classifier-centric representation for few-shot learning

The main problems of few-shot learning are how to learn a generalized re...
11/28/2019 ∙ by Shaoli Huang, et al. ∙ 22 ∙ share

read it
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Human parsing, or human body part semantic segmentation, has been an act...
11/27/2019 ∙ by Haoyu He, et al. ∙ 4 ∙ share

read it
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Unsupervised domain adaptation (UDA) aims to enhance the generalization ...
10/29/2019 ∙ by Qiming Zhang, et al. ∙ 0 ∙ share

read it
Human Keypoint Detection by Progressive Context Refinement

Human keypoint detection from a single image is very challenging due to ...
10/27/2019 ∙ by Jing Zhang, et al. ∙ 0 ∙ share

read it
On Dimension-free Tail Inequalities for Sums of Random Matrices and Applications

In this paper, we present a new framework to obtain tail inequalities fo...
10/08/2019 ∙ by Chao Zhang, et al. ∙ 0 ∙ share

read it
Positive-Unlabeled Compression on the Cloud

Many attempts have been done to extend the great success of convolutiona...
09/21/2019 ∙ by Yixing Xu, et al. ∙ 7 ∙ share

read it
Quantum algorithm for finding the negative curvature direction in non-convex optimization

We present an efficient quantum algorithm aiming to find the negative cu...
09/17/2019 ∙ by Kaining Zhang, et al. ∙ 0 ∙ share

read it
Likelihood-Free Overcomplete ICA and Applications in Causal Discovery

Causal discovery witnessed significant progress over the past decades. I...
09/04/2019 ∙ by Chenwei Ding, et al. ∙ 0 ∙ share

read it
Investigation of wind pressures on tall building under interference effects using machine learning techniques

Interference effects of tall buildings have attracted numerous studies d...
08/20/2019 ∙ by Gang Hu, et al. ∙ 0 ∙ share

read it

Dacheng Tao

Featured Co-authors