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09/18/2023
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering
In this study, we address the challenge of 3D scene structure recovery f...
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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...
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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...
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06/03/2023
Provable Dynamic Fusion for Low-Quality Multimodal Data
The inherent challenge of multimodal fusion is to precisely capture the ...
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06/02/2023
dugMatting: Decomposed-Uncertainty-Guided Matting
Cutting out an object and estimating its opacity mask, known as image ma...
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06/02/2023
Calibrating Multimodal Learning
Multimodal machine learning has achieved remarkable progress in a wide r...
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04/18/2023
Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation
Obtaining sufficient labelled data for model training is impractical for...
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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...
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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...
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12/14/2022
Deep Negative Correlation Classification
Ensemble learning serves as a straightforward way to improve the perform...
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11/20/2022
Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation
Model-based deep learning has achieved astounding successes due in part ...
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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, ...
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05/27/2022
Sharpness-Aware Training for Free
Modern deep neural networks (DNNs) have achieved state-of-the-art perfor...
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04/25/2022
Trusted Multi-View Classification with Dynamic Evidential Fusion
Existing multi-view classification algorithms focus on promoting accurac...
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11/11/2021
Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions
Multimodal regression is a fundamental task, which integrates the inform...
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10/07/2021
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Overparametrized Deep Neural Networks (DNNs) often achieve astounding pe...
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07/31/2021
Word2Pix: Word to Pixel Cross Attention Transformer in Visual Grounding
Current one-stage methods for visual grounding encode the language query...
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06/08/2021
Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation
Convolutional neural networks may perform poorly when the test and train...
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05/14/2021
Efficient Spiking Neural Networks with Radix Encoding
Spiking neural networks (SNNs) have advantages in latency and energy eff...
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03/26/2021
RCT: Resource Constrained Training for Edge AI
Neural networks training on edge terminals is essential for edge AI comp...
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02/03/2021
Trusted Multi-View Classification
Multi-view classification (MVC) generally focuses on improving classific...
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12/23/2020
Adaptive Precision Training for Resource Constrained Devices
Learn in-situ is a growing trend for Edge AI. Training deep neural netwo...
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11/12/2020
Deep Partial Multi-View Learning
Although multi-view learning has made signifificant progress over the pa...
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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...
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09/23/2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning
Deep neural networks have achieved great success both in computer vision...
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09/21/2020
Contrastive Clustering
In this paper, we propose a one-stage online clustering method called Co...
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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...
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07/14/2020
Attentive Graph Neural Networks for Few-Shot Learning
Graph Neural Networks (GNN) has demonstrated the superior performance in...
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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...
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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...
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06/08/2020
EDCompress: Energy-Aware Model Compression with Dataflow
Edge devices demand low energy consumption, cost and small form factor. ...
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05/18/2020
Omni-supervised Facial Expression Recognition: A Simple Baseline
In this paper, we target on advancing the performance in facial expressi...
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05/16/2020
The Power of Triply Complementary Priors for Image Compressive Sensing
Recent works that utilized deep models have achieved superior results in...
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05/12/2020
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
To facilitate depth-based 3D action recognition, 3D dynamic voxel (3DV) ...
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04/28/2020
Heterogeneous Representation Learning: A Review
The real-world data usually exhibits heterogeneous properties such as mo...
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04/24/2020
RAIN: Robust and Accurate Classification Networks with Randomization and Enhancement
Along with the extensive applications of CNN models for classification, ...
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04/04/2020
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles
Current summarization systems only produce plain, factual headlines, but...
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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...
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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...
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11/13/2019
Unsupervised Domain Adaptation on Reading Comprehension
Reading comprehension (RC) has been studied in a variety of datasets wit...
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09/16/2019
Multi-graph Fusion for Multi-view Spectral Clustering
A panoply of multi-view clustering algorithms has been developed to deal...
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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...
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08/24/2019
Robust Regression via Deep Negative Correlation Learning
Nonlinear regression has been extensively employed in many computer visi...
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07/27/2019
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment
Machine learning algorithms are often vulnerable to adversarial examples...
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06/06/2019
Query-efficient Meta Attack to Deep Neural Networks
Recently, several adversarial attack methods to black-box deep neural ne...
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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...
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08/22/2018
k-meansNet: When k-means Meets Differentiable Programming
In this paper, we study how to make clustering benefiting from different...
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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...
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06/29/2018
Action Recognition for Depth Video using Multi-view Dynamic Images
Dynamic image is the recently emerged action representation paradigm abl...
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02/28/2017
