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07/16/2023
Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling
Unsupervised domain adaptation (DA) with the aid of pseudo labeling tech...
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07/16/2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Achieving a reliable LiDAR-based object detector in autonomous driving i...
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10/15/2022
DI-NIDS: Domain Invariant Network Intrusion Detection System
The performance of machine learning based network intrusion detection sy...
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07/09/2022
Rethinking Persistent Homology for Visual Recognition
Persistent topological properties of an image serve as an additional des...
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02/13/2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Open-set domain adaptation (OSDA) has gained considerable attention in m...
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09/01/2021
Conditional Extreme Value Theory for Open Set Video Domain Adaptation
With the advent of media streaming, video action recognition has become ...
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08/26/2021
Learning to Diversify for Single Domain Generalization
Domain generalization (DG) aims to generalize a model trained on multipl...
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07/24/2021
Going Deeper into Semi-supervised Person Re-identification
Person re-identification is the challenging task of identifying a person...
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06/11/2021
Learning Compositional Shape Priors for Few-Shot 3D Reconstruction
The impressive performance of deep convolutional neural networks in sing...
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05/14/2021
Neural-Symbolic Commonsense Reasoner with Relation Predictors
Commonsense reasoning aims to incorporate sets of commonsense facts, ret...
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01/20/2021
Semi-supervised Keypoint Localization
Knowledge about the locations of keypoints of an object in an image can ...
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11/27/2020
Domain Adaptative Causality Encoder
Current approaches which are mainly based on the extraction of low-level...
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11/26/2020
Learning Causal Bayesian Networks from Text
Causal relationships form the basis for reasoning and decision-making in...
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11/25/2020
Interpretable Signed Link Prediction with Signed Infomax Hyperbolic Graph
Signed link prediction in social networks aims to reveal the underlying ...
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11/02/2020
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering
Commonsense reasoning refers to the ability of evaluating a social situa...
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08/26/2020
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification
Learning embeddings that are invariant to the pose of the object is cruc...
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07/31/2020
Adversarial Bipartite Graph Learning for Video Domain Adaptation
Domain adaptation techniques, which focus on adapting models between dis...
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06/22/2020
Progressive Graph Learning for Open-Set Domain Adaptation
Domain shift is a fundamental problem in visual recognition which typica...
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05/10/2020
A Simple and Scalable Shape Representation for 3D Reconstruction
Deep learning applied to the reconstruction of 3D shapes has seen growin...
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04/14/2020
Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors
The impressive performance of deep convolutional neural networks in sing...
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03/03/2020
Implicitly Defined Layers in Neural Networks
In conventional formulations of multilayer feedforward neural networks, ...
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01/09/2020
Learning landmark guided embeddings for animal re-identification
Re-identification of individual animals in images can be ambiguous due t...
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11/29/2019
Correlation-aware Adversarial Domain Adaptation and Generalization
Domain adaptation (DA) and domain generalization (DG) have emerged as a ...
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11/12/2019
Learning from the Past: Continual Meta-Learning via Bayesian Graph Modeling
Meta-learning for few-shot learning allows a machine to leverage previou...
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02/28/2019
Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings
Visual identification of individual animals that bear unique natural bod...
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01/21/2019
Deep Level Sets: Implicit Surface Representations for 3D Shape Inference
Existing 3D surface representation approaches are unable to accurately c...
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01/02/2019
On Minimum Discrepancy Estimation for Deep Domain Adaptation
In the presence of large sets of labeled data, Deep Learning (DL) has ac...
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12/21/2018
Multi-component Image Translation for Deep Domain Generalization
Domain adaption (DA) and domain generalization (DG) are two closely rela...
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05/31/2018
Learning Factorized Representations for Open-set Domain Adaptation
Domain adaptation for visual recognition has undergone great progress in...
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09/04/2017
From Review to Rating: Exploring Dependency Measures for Text Classification
Various text analysis techniques exist, which attempt to uncover unstruc...
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07/31/2015