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08/02/2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Despite the broad application of Machine Learning models as a Service (M...
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05/23/2023
MaskCL: Semantic Mask-Driven Contrastive Learning for Unsupervised Person Re-Identification with Clothes Change
This paper considers a novel and challenging problem: unsupervised long-...
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02/19/2023
X-Adv: Physical Adversarial Object Attacks against X-ray Prohibited Item Detection
Adversarial attacks are valuable for evaluating the robustness of deep l...
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11/30/2022
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification
The main challenge for fine-grained few-shot image classification is to ...
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06/01/2022
Learning Invariant Visual Representations for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize novel composit...
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05/27/2022
A Survey on Long-Tailed Visual Recognition
The heavy reliance on data is one of the major reasons that currently li...
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04/17/2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning
While deep neural networks (DNNs) have strengthened the performance of c...
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02/07/2022
Unsupervised Long-Term Person Re-Identification with Clothes Change
We investigate unsupervised person re-identification (Re-ID) with clothe...
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12/06/2021
Clue Me In: Semi-Supervised FGVC with Out-of-Distribution Data
Despite great strides made on fine-grained visual classification (FGVC),...
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12/06/2021
Making a Bird AI Expert Work for You and Me
As powerful as fine-grained visual classification (FGVC) is, responding ...
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10/25/2021
TODSum: Task-Oriented Dialogue Summarization with State Tracking
Previous dialogue summarization datasets mainly focus on open-domain chi...
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06/15/2021
Cluster-guided Asymmetric Contrastive Learning for Unsupervised Person Re-Identification
Unsupervised person re-identification (Re-ID) aims to match pedestrian i...
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06/07/2021
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
In this paper, we present a neural model for joint dropped pronoun recov...
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04/01/2021
DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification
RGB-infrared person re-identification is a challenging task due to the i...
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04/01/2021
Unsupervised Person Re-identification via Simultaneous Clustering and Consistency Learning
Unsupervised person re-identification (re-ID) has become an important to...
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03/11/2021
Duplex Contextual Relation Network for Polyp Segmentation
Polyp segmentation is of great importance in the early diagnosis and tre...
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01/24/2021
A Comprehensive Evaluation Framework for Deep Model Robustness
Deep neural networks (DNNs) have achieved remarkable performance across ...
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01/21/2021
Progressive Co-Attention Network for Fine-grained Visual Classification
Fine-grained visual classification aims to recognize images belonging to...
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01/12/2021
Energy-Efficient Node Deployment in Static and Mobile Heterogeneous Multi-Hop Wireless Sensor Networks
We study a heterogeneous wireless sensor network (WSN) where N heterogen...
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12/21/2020
Knowledge Transfer Based Fine-grained Visual Classification
Fine-grained visual classification (FGVC) aims to distinguish the sub-cl...
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11/18/2020
Your "Labrador" is My "Dog": Fine-Grained, or Not
Whether what you see in Figure 1 is a "labrador" or a "dog", is the ques...
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11/17/2020
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference
This paper proposes a dual-supervised uncertainty inference (DS-UI) fram...
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10/20/2020
Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range
We study a heterogeneous two-tier wireless sensor network in which N het...
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10/11/2020
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization
Due to lack of data, overfitting ubiquitously exists in real-world appli...
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10/07/2020
Transformer-GCRF: Recovering Chinese Dropped Pronouns with General Conditional Random Fields
Pronouns are often dropped in Chinese conversations and recovering the d...
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09/13/2020
SSKD: Self-Supervised Knowledge Distillation for Cross Domain Adaptive Person Re-Identification
Domain adaptive person re-identification (re-ID) is a challenging task d...
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06/27/2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification
Despite achieving state-of-the-art performance, deep learning methods ge...
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05/23/2020
Attention-guided Context Feature Pyramid Network for Object Detection
For object detection, how to address the contradictory requirement betwe...
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04/20/2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer
A deep neural network of multiple nonlinear layers forms a large functio...
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03/10/2020
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology
Channel attention mechanisms, as the key components of some modern convo...
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03/09/2020
Dual-attention Guided Dropblock Module for Weakly Supervised Object Localization
In this paper, we propose a dual-attention guided dropblock module, and ...
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03/08/2020
Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches
Fine-grained visual classification (FGVC) is much more challenging than ...
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03/08/2020
Mind the Gap: Enlarging the Domain Gap in Open Set Domain Adaptation
Unsupervised domain adaptation aims to leverage labeled data from a sour...
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02/28/2020
A Video Analysis Method on Wanfang Dataset via Deep Neural Network
The topic of object detection has been largely improved recently, especi...
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02/21/2020
Fine-Grained Instance-Level Sketch-Based Video Retrieval
Existing sketch-analysis work studies sketches depicting static objects ...
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02/11/2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification
Key for solving fine-grained image categorization is finding discriminat...
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12/31/2019
Scalable NAS with Factorizable Architectural Parameters
Neural architecture search (NAS) is an emerging topic in machine learnin...
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11/18/2019
Optimal deployments of UAVs with directional antennas for a power-efficient coverage
To provide a reliable wireless uplink for users in a given ground area, ...
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09/10/2019
Wasserstein Collaborative Filtering for Item Cold-start Recommendation
The item cold-start problem seriously limits the recommendation performa...
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09/10/2019
PMD: A New User Distance for Recommender Systems
Collaborative filtering, a widely-used recommendation technique, predict...
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09/03/2019
Finding Salient Context based on Semantic Matching for Relevance Ranking
In this paper, we propose a salient-context based semantic matching meth...
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05/01/2019
Self-Supervised Convolutional Subspace Clustering Network
Subspace clustering methods based on data self-expression have become ve...
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04/14/2019
Pre-training of Context-aware Item Representation for Next Basket Recommendation
Next basket recommendation, which aims to predict the next a few items t...
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04/12/2019
Energy Efficient Node Deployment in Wireless Ad-hoc Sensor Networks
We study a wireless ad-hoc sensor network (WASN) where N sensors gather ...
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02/13/2019
On the Convergence of Extended Variational Inference for Non-Gaussian Statistical Models
Variational inference (VI) is a widely used framework in Bayesian estima...
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01/20/2019
Using Quantization to Deploy Heterogeneous Nodes in Two-Tier Wireless Sensor Networks
We study a heterogeneous two-tier wireless sensor network in which N het...
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11/06/2018
Quantizers with Parameterized Distortion Measures
In many quantization problems, the distortion function is given by the E...
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08/02/2018
Impacts of Weather Conditions on District Heat System
Using artificial neural network for the prediction of heat demand has at...
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07/28/2018
SEA: A Combined Model for Heat Demand Prediction
Heat demand prediction is a prominent research topic in the area of inte...
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07/08/2018