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04/27/2023
Uncertainty Aware Neural Network from Similarity and Sensitivity
Researchers have proposed several approaches for neural network (NN) bas...
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10/30/2022
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
Spatial transcriptomics (ST) is essential for understanding diseases and...
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10/09/2022
Less is More: Facial Landmarks can Recognize a Spontaneous Smile
Smile veracity classification is a task of interpreting social interacti...
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09/29/2022
Prompt-guided Scene Generation for 3D Zero-Shot Learning
Zero-shot learning on 3D point cloud data is a related underexplored pro...
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05/30/2022
Few-shot Class-incremental Learning for 3D Point Cloud Objects
Few-shot class-incremental learning (FSCIL) aims to incrementally fine-t...
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05/23/2022
Rethinking Task-Incremental Learning Baselines
It is common to have continuous streams of new data that need to be intr...
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03/23/2022
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
De novo peptide sequencing aims to recover amino acid sequences of a pep...
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06/27/2021
Learning without Forgetting for 3D Point Cloud Objects
When we fine-tune a well-trained deep learning model for a new set of cl...
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03/06/2021
Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning
Few-shot class incremental learning (FSCIL) portrays the problem of lear...
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11/30/2020
S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation
Interactive facial image manipulation attempts to edit single and multip...
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10/24/2020
Classifying Eye-Tracking Data Using Saliency Maps
A plethora of research in the literature shows how human eye fixation pa...
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10/19/2020
Synthesizing the Unseen for Zero-shot Object Detection
The existing zero-shot detection approaches project visual features to t...
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10/07/2020
RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition
Smiles play a vital role in the understanding of social interactions wit...
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03/16/2020
Any-Shot Object Detection
Previous work on novel object detection considers zero or few-shot setti...
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12/16/2019
Transductive Zero-Shot Learning for 3D Point Cloud Classification
Zero-shot learning, the task of learning to recognize new classes not se...
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07/15/2019
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects
The development of advanced 3D sensors has enabled many objects to be ca...
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02/27/2019
Zero-shot Learning of 3D Point Cloud Objects
Recent deep learning architectures can recognize instances of 3D point c...
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11/22/2018
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples
Deep neural networks (DNN) can be easily fooled by adding human impercep...
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11/22/2018
Polarity Loss for Zero-shot Object Detection
Zero-shot object detection is an emerging research topic that aims to re...
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03/16/2018
Deep Multiple Instance Learning for Zero-shot Image Tagging
In-line with the success of deep learning on traditional recognition pro...
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03/16/2018
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
Current Zero-Shot Learning (ZSL) approaches are restricted to recognitio...
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06/27/2017