Joey Tianyi Zhou

research

∙ 09/18/2023

Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering

In this study, we address the challenge of 3D scene structure recovery f...

0 Chi Zhang, et al. ∙

research

∙ 08/31/2023

Ladder-of-Thought: Using Knowledge as Steps to Elevate Stance Detection

Stance detection aims to identify the attitude expressed in a document t...

0 Kairui Hu, et al. ∙

research

∙ 08/19/2023

Noisy-Correspondence Learning for Text-to-Image Person Re-identification

Text-to-image person re-identification (TIReID) is a compelling topic in...

0 Yang Qin, et al. ∙

research

∙ 06/03/2023

Provable Dynamic Fusion for Low-Quality Multimodal Data

The inherent challenge of multimodal fusion is to precisely capture the ...

0 Qingyang Zhang, et al. ∙

research

∙ 06/02/2023

dugMatting: Decomposed-Uncertainty-Guided Matting

Cutting out an object and estimating its opacity mask, known as image ma...

0 Jiawei Wu, et al. ∙

research

∙ 06/02/2023

Calibrating Multimodal Learning

Multimodal machine learning has achieved remarkable progress in a wide r...

0 Huan Ma. Qingyang Zhang, et al. ∙

research

∙ 04/18/2023

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation

Obtaining sufficient labelled data for model training is impractical for...

0 Gabriel Tjio, et al. ∙

research

∙ 04/07/2023

A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image

3D interacting hand pose estimation from a single RGB image is a challen...

0 Changlong Jiang, et al. ∙

research

∙ 03/28/2023

Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video

Real-time eyeblink detection in the wild can widely serve for fatigue de...

0 Wenzheng Zeng, et al. ∙

research

∙ 12/14/2022

Deep Negative Correlation Classification

Ensemble learning serves as a straightforward way to improve the perform...

0 Le Zhang, et al. ∙

research

∙ 11/20/2022

Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation

Model-based deep learning has achieved astounding successes due in part ...

0 Jiawei Du, et al. ∙

research

∙ 10/29/2022

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer

Optical Intra-oral Scanners (IOS) are widely used in digital dentistry, ...

0 Huimin Xiong, et al. ∙

research

∙ 05/27/2022

Sharpness-Aware Training for Free

Modern deep neural networks (DNNs) have achieved state-of-the-art perfor...

0 Jiawei Du, et al. ∙

research

∙ 04/25/2022

Trusted Multi-View Classification with Dynamic Evidential Fusion

Existing multi-view classification algorithms focus on promoting accurac...

7 Zongbo Han, et al. ∙

research

∙ 11/11/2021

Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions

Multimodal regression is a fundamental task, which integrates the inform...

9 Huan Ma, et al. ∙

research

∙ 10/07/2021

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Overparametrized Deep Neural Networks (DNNs) often achieve astounding pe...

0 Jiawei Du, et al. ∙

research

∙ 07/31/2021

Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding

Current one-stage methods for visual grounding encode the language query...

0 Heng Zhao, et al. ∙

research

∙ 06/08/2021

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

Convolutional neural networks may perform poorly when the test and train...

0 Gabriel Tjio, et al. ∙

research

∙ 05/14/2021

Efficient Spiking Neural Networks with Radix Encoding

Spiking neural networks (SNNs) have advantages in latency and energy eff...

0 Zhehui Wang, et al. ∙

research

∙ 03/26/2021

RCT: Resource Constrained Training for Edge AI

Neural networks training on edge terminals is essential for edge AI comp...

0 Tian Huang, et al. ∙

research

∙ 02/03/2021

Trusted Multi-View Classification

Multi-view classification (MVC) generally focuses on improving classific...

10 Zongbo Han, et al. ∙

research

∙ 12/23/2020

Adaptive Precision Training for Resource Constrained Devices

Learn in-situ is a growing trend for Edge AI. Training deep neural netwo...

0 Tian Huang, et al. ∙

research

∙ 11/12/2020

Deep Partial Multi-View Learning

Although multi-view learning has made signifificant progress over the pa...

18 Changqing Zhang, et al. ∙

research

∙ 10/22/2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games

We study reinforcement learning (RL) for text-based games, which are int...

0 Yunqiu Xu, et al. ∙

research

∙ 09/23/2020

Deep Neural Networks with Short Circuits for Improved Gradient Learning

Deep neural networks have achieved great success both in computer vision...

0 Ming Yan, et al. ∙

research

∙ 09/21/2020

Contrastive Clustering

In this paper, we propose a one-stage online clustering method called Co...

0 Yunfan Li, et al. ∙

research

∙ 08/26/2020

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition in the Wild

In this paper, the Point Adversarial Self Mining (PASM) approach, a simp...

0 Ping Liu, et al. ∙

research

∙ 07/14/2020

Attentive Graph Neural Networks for Few-Shot Learning

Graph Neural Networks (GNN) has demonstrated the superior performance in...

0 Hao Cheng, et al. ∙

research

∙ 07/11/2020

ECML: An Ensemble Cascade Metric Learning Mechanism towards Face Verification

Face verification can be regarded as a 2-class fine-grained visual recog...

0 Fu Xiong, et al. ∙

research

∙ 06/30/2020

You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network

In this paper, we study two challenging and less-touched problems in sin...

0 Boyun Li, et al. ∙

research

∙ 06/08/2020

EDCompress: Energy-Aware Model Compression with Dataflow

Edge devices demand low energy consumption, cost and small form factor. ...

0 Zhehui Wang, et al. ∙

research

∙ 05/18/2020

Omni-supervised Facial Expression Recognition: A Simple Baseline

In this paper, we target on advancing the performance in facial expressi...

13 Ping Liu, et al. ∙

research

∙ 05/16/2020

The Power of Triply Complementary Priors for Image Compressive Sensing

Recent works that utilized deep models have achieved superior results in...

0 Zhiyuan Zha, et al. ∙

research

∙ 05/12/2020

3DV: 3D Dynamic Voxel for Action Recognition in Depth Video

To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...

6 Yancheng Wang, et al. ∙

research

∙ 04/28/2020

Heterogeneous Representation Learning: A Review

The real-world data usually exhibits heterogeneous properties such as mo...

0 Joey Tianyi Zhou, et al. ∙

research

∙ 04/24/2020

RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement

Along with the extensive applications of CNN models for classification, ...

0 Jiawei Du, et al. ∙

research

∙ 04/04/2020

Hooks in the Headline: Learning to Generate Headlines with Controlled Styles

Current summarization systems only produce plain, factual headlines, but...

9 Di Jin, et al. ∙

research

∙ 01/22/2020

Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation

State-of-the-art neural machine translation (NMT) systems are data-hungr...

0 Di Jin, et al. ∙

research

∙ 12/24/2019

Ordered or Orderless: A Revisit for Video based Person Re-Identification

Is recurrent network really necessary for learning a good visual represe...

0 Le Zhang, et al. ∙

research

∙ 11/13/2019

Unsupervised Domain Adaptation on Reading Comprehension

Reading comprehension (RC) has been studied in a variety of datasets wit...

0 Yu Cao, et al. ∙

research

∙ 09/16/2019

Multi-graph Fusion for Multi-view Spectral Clustering

A panoply of multi-view clustering algorithms has been developed to deal...

5 Zhao Kang, et al. ∙

research

∙ 08/27/2019

A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image

For 3D hand and body pose estimation task in depth image, a novel anchor...

18 Fu Xiong, et al. ∙

research

∙ 08/24/2019

Robust Regression via Deep Negative Correlation Learning

Nonlinear regression has been extensively employed in many computer visi...

24 Le Zhang, et al. ∙

research

∙ 07/27/2019

Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment

Machine learning algorithms are often vulnerable to adversarial examples...

0 Di Jin, et al. ∙

research

∙ 06/06/2019

Query-efficient Meta Attack to Deep Neural Networks

Recently, several adversarial attack methods to black-box deep neural ne...

0 Jiawei Du, et al. ∙

research

∙ 02/21/2019

Towards Real-time Eyeblink Detection in The Wild:Dataset,Theory and Practices

Effective and real-time eyeblink detection is of wide-range applications...

8 Guilei Hu, et al. ∙

research

∙ 08/22/2018

k-meansNet: When k-means Meets Differentiable Programming

In this paper, we study how to make clustering benefiting from different...

0 Xi Peng, et al. ∙

research

∙ 07/29/2018

Towards Good Practices on Building Effective CNN Baseline Model for Person Re-identification

Person re-identification is indeed a challenging visual recognition task...

4 Fu Xiong, et al. ∙

research

∙ 06/29/2018

Action Recognition for Depth Video using Multi-view Dynamic Images

Dynamic image is the recently emerged action representation paradigm abl...

6 Yang Xiao, et al. ∙

research

∙ 02/28/2017

MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information

Multi-instance multi-label (MIML) learning has many interesting applicat...

0 Hao Yang, et al. ∙

Joey Tianyi Zhou

Featured Co-authors