b'Dacheng Tao'

MRI-based Alzheimer's disease prediction via distilling the knowledge in multi-modal data

Mild cognitive impairment (MCI) conversion prediction, i.e., identifying...
04/08/2021 ∙ by Hao Guan, et al. ∙ 0 ∙ share

read it
Affordance Transfer Learning for Human-Object Interaction Detection

Reasoning the human-object interactions (HOI) is essential for deeper sc...
04/07/2021 ∙ by Zhi Hou, et al. ∙ 1 ∙ share

read it
Online Multiple Object Tracking with Cross-Task Synergy

Modern online multiple object tracking (MOT) methods usually focus on tw...
04/01/2021 ∙ by Song Guo, et al. ∙ 0 ∙ share

read it
Towards understanding the power of quantum kernels in the NISQ era

A key problem in the field of quantum computing is understanding whether...
03/31/2021 ∙ by Xinbiao Wang, et al. ∙ 0 ∙ share

read it
Detecting Human-Object Interaction via Fabricated Compositional Learning

Human-Object Interaction (HOI) detection, inferring the relationships be...
03/15/2021 ∙ by Zhi Hou, et al. ∙ 0 ∙ share

read it
Manifold Regularized Dynamic Network Pruning

Neural network pruning is an essential approach for reducing the computa...
03/10/2021 ∙ by Yehui Tang, et al. ∙ 0 ∙ share

read it
Learning Compositional Representation for Few-shot Visual Question Answering

Current methods of Visual Question Answering perform well on the answers...
02/21/2021 ∙ by Dalu Guo, et al. ∙ 4 ∙ share

read it
CPP-Net: Context-aware Polygon Proposal Network for Nucleus Segmentation

Nucleus segmentation is a challenging task due to the crowded distributi...
02/13/2021 ∙ by Shengcong Chen, et al. ∙ 0 ∙ share

read it
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning

Word alignment is essential for the down-streaming cross-lingual languag...
02/08/2021 ∙ by Di Wu, et al. ∙ 0 ∙ share

read it
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence

Convolutional neural networks (CNN) have been widely used for boosting t...
01/25/2021 ∙ by Yunhe Wang, et al. ∙ 35 ∙ share

read it
Collaborative Teacher-Student Learning via Multiple Knowledge Transfer

Knowledge distillation (KD), as an efficient and effective model compres...
01/21/2021 ∙ by Liyuan Sun, et al. ∙ 4 ∙ share

read it
CAA : Channelized Axial Attention for Semantic Segmentation

Self-attention and channel attention, modelling the semantic interdepend...
01/19/2021 ∙ by Ye Huang, et al. ∙ 0 ∙ share

read it
Bayesian Inference Forgetting

The right to be forgotten has been legislated in many countries but the ...
01/16/2021 ∙ by Shaopeng Fu, et al. ∙ 0 ∙ share

read it
Neural networks behave as hash encoders: An empirical study

The input space of a neural network with ReLU-like activations is partit...
01/14/2021 ∙ by Fengxiang He, et al. ∙ 20 ∙ share

read it
SPAGAN: Shortest Path Graph Attention Network

Graph convolutional networks (GCN) have recently demonstrated their pote...
01/10/2021 ∙ by Yiding Yang, et al. ∙ 0 ∙ share

read it
Understanding and Improving Lexical Choice in Non-Autoregressive Translation

Knowledge distillation (KD) is essential for training non-autoregressive...
12/29/2020 ∙ by Liang Ding, et al. ∙ 0 ∙ share

read it
Robustness, Privacy, and Generalization of Adversarial Training

Adversarial training can considerably robustify deep neural networks to ...
12/25/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

read it
Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....
12/25/2020 ∙ by Jun Yu, et al. ∙ 0 ∙ share

read it
A Survey on Visual Transformer

Transformer is a type of deep neural network mainly based on self-attent...
12/23/2020 ∙ by Kai Han, et al. ∙ 0 ∙ share

read it
Progressive One-shot Human Parsing

Prior human parsing models are limited to parsing humans into classes pr...
12/22/2020 ∙ by Haoyu He, et al. ∙ 0 ∙ share

read it
Recent advances in deep learning theory

Deep learning is usually described as an experiment-driven field under c...
12/20/2020 ∙ by Fengxiang He, et al. ∙ 0 ∙ share

read it
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data

Data mixing augmentation has proved effective in training deep models. R...
12/09/2020 ∙ by Shaoli Huang, et al. ∙ 0 ∙ share

read it
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization

There is now extensive evidence demonstrating that deep neural networks ...
12/03/2020 ∙ by Aishan Liu, et al. ∙ 0 ∙ share

read it
Fast Class-wise Updating for Online Hashing

Online image hashing has received increasing research attention recently...
12/01/2020 ∙ by Mingbao Lin, et al. ∙ 0 ∙ share

read it
SIR: Self-supervised Image Rectification via Seeing the Same Scene from Multiple Different Lenses

Deep learning has demonstrated its power in image rectification by lever...
11/30/2020 ∙ by Jinlong Fan, et al. ∙ 5 ∙ share

read it
DUT: Learning Video Stabilization by Simply Watching Unstable Videos

We propose a Deep Unsupervised Trajectory-based stabilization framework ...
11/30/2020 ∙ by Yufei Xu, et al. ∙ 0 ∙ share

read it
Inter-layer Transition in Neural Architecture Search

Differential Neural Architecture Search (NAS) methods represent the netw...
11/30/2020 ∙ by Benteng Ma, et al. ∙ 0 ∙ share

read it
Recent Progress in Appearance-based Action Recognition

Action recognition, which is formulated as a task to identify various hu...
11/25/2020 ∙ by Jack Humphreys, et al. ∙ 3 ∙ share

read it
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

In the Internet of Things (IoT) era, billions of sensors and devices col...
11/17/2020 ∙ by Jing Zhang, et al. ∙ 41 ∙ share

read it
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting

Deep learning is often criticized by two serious issues which rarely exi...
11/12/2020 ∙ by Zeke Xie, et al. ∙ 1 ∙ share

read it
Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model

Home-cage social behaviour analysis of mice is an invaluable tool to ass...
11/04/2020 ∙ by Zheheng Jiang, et al. ∙ 0 ∙ share

read it
Context-Aware Cross-Attention for Non-Autoregressive Translation

Non-autoregressive translation (NAT) significantly accelerates the infer...
11/02/2020 ∙ by Liang Ding, et al. ∙ 0 ∙ share

read it
End-to-end Animal Image Matting

Extracting accurate foreground animals from natural animal images benefi...
10/30/2020 ∙ by Jizhizi Li, et al. ∙ 0 ∙ share

read it
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning

Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D ...
10/23/2020 ∙ by Huan Fu, et al. ∙ 0 ∙ share

read it
SCOP: Scientific Control for Reliable Neural Network Pruning

This paper proposes a reliable neural network pruning algorithm by setti...
10/21/2020 ∙ by Yehui Tang, et al. ∙ 0 ∙ share

read it
Quantum circuit architecture search: error mitigation and trainability enhancement for variational quantum solvers

Quantum error mitigation techniques are at the heart of quantum computat...
10/20/2020 ∙ by Yuxuan Du, et al. ∙ 0 ∙ share

read it
On the Guaranteed Almost Equivalence between Imitation Learning from Observation and Demonstration

Imitation learning from observation (LfO) is more preferable than imitat...
10/16/2020 ∙ by Zhihao Cheng, et al. ∙ 0 ∙ share

read it
Pretrained Language Models for Dialogue Generation with Multiple Input Sources

Large-scale pretrained language models have achieved outstanding perform...
10/15/2020 ∙ by Yu Cao, et al. ∙ 0 ∙ share

read it
Learning Propagation Rules for Attribution Map Generation

Prior gradient-based attribution-map methods rely on handcrafted propaga...
10/14/2020 ∙ by Yiding Yang, et al. ∙ 0 ∙ share

read it
Experimental Quantum Generative Adversarial Networks for Image Generation

Quantum machine learning is expected to be one of the first practical ap...
10/13/2020 ∙ by He-Liang Huang, et al. ∙ 0 ∙ share

read it
Targeted Attention Attack on Deep Learning Models in Road Sign Recognition

Real world traffic sign recognition is an important step towards buildin...
10/09/2020 ∙ by Xinghao Yang, et al. ∙ 4 ∙ share

read it
Self-supervised Exposure Trajectory Recovery for Dynamic Blur Estimation

Dynamic scene blurring is an important yet challenging topic. Recently, ...
10/06/2020 ∙ by Youjian Zhang, et al. ∙ 0 ∙ share

read it
Open-Set Hypothesis Transfer with Semantic Consistency

Unsupervised open-set domain adaptation (UODA) is a realistic problem wh...
10/01/2020 ∙ by Zeyu Feng, et al. ∙ 4 ∙ share

read it
Batch Coherence-Driven Network for Part-aware Person Re-Identification

Existing part-aware person re-identification methods typically employ tw...
09/21/2020 ∙ by Kan Wang, et al. ∙ 0 ∙ share

read it
3D-FUTURE: 3D Furniture shape with TextURE

The 3D CAD shapes in current 3D benchmarks are mostly collected from onl...
09/21/2020 ∙ by Huan Fu, et al. ∙ 16 ∙ share

read it
AdderSR: Towards Energy Efficient Image Super-Resolution

This paper studies the single image super-resolution problem using adder...
09/18/2020 ∙ by Dehua Song, et al. ∙ 4 ∙ share

read it
Searching for Low-Bit Weights in Quantized Neural Networks

Quantized neural networks with low-bit weights and activations are attra...
09/18/2020 ∙ by Zhaohui Yang, et al. ∙ 7 ∙ share

read it
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

Dacheng Tao

Featured Co-authors