Qi Yu | DeepAI

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170 publications
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82 publications
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62 publications
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23 publications
Travis Desell
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Changhua Meng
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Jintang Li
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Ruofan Wu
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∙ 09/19/2023

Latent Space Energy-based Model for Fine-grained Open Set Recognition

Fine-grained open-set recognition (FineOSR) aims to recognize images bel...

0 Wentao Bao, et al. ∙

∙ 09/18/2023

On Model Explanations with Transferable Neural Pathways

Neural pathways as model explanations consist of a sparse set of neurons...

0 Xinmiao Lin, et al. ∙

∙ 06/19/2023

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

Evidential deep learning, built upon belief theory and subjective logic,...

0 Deep Pandey, et al. ∙

∙ 11/30/2022

Evidential Conditional Neural Processes

The Conditional Neural Process (CNP) family of models offer a promising ...

0 Deep Shankar Pandey, et al. ∙

∙ 08/23/2022

Towards Open Set Video Anomaly Detection

Open Set Video Anomaly Detection (OpenVAD) aims to identify abnormal eve...

0 Yuansheng Zhu, et al. ∙

∙ 08/15/2022

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Recent years have seen a surge in research on dynamic graph representati...

0 Jintang Li, et al. ∙

∙ 06/12/2022

Balancing Bias and Variance for Active Weakly Supervised Learning

As a widely used weakly supervised learning scheme, modern multiple inst...

0 Hitesh Sapkota, et al. ∙

∙ 05/05/2022

Spiking Graph Convolutional Networks

Graph Convolutional Networks (GCNs) achieve an impressive performance du...

0 Zulun Zhu, et al. ∙

∙ 04/03/2022

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations

We present a novel dynamic recommendation model that focuses on users wh...

0 Krishna Prasad Neupane, et al. ∙

∙ 03/24/2022

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection

Multiple-instance learning (MIL) provides an effective way to tackle the...

0 Hitesh Sapkota, et al. ∙

∙ 03/23/2022

Multidimensional Belief Quantification for Label-Efficient Meta-Learning

Optimization-based meta-learning offers a promising direction for few-sh...

0 Deep Pandey, et al. ∙

∙ 03/10/2022

OpenTAL: Towards Open Set Temporal Action Localization

Temporal Action Localization (TAL) has experienced remarkable success un...

0 Wentao Bao, et al. ∙

∙ 11/21/2021

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval

Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a sp...

0 Dingrong Wang, et al. ∙

∙ 07/21/2021

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation

Traffic accident anticipation aims to accurately and promptly predict th...

0 Wentao Bao, et al. ∙

∙ 07/21/2021

Evidential Deep Learning for Open Set Action Recognition

In a real-world scenario, human actions are typically out of the distrib...

0 Wentao Bao, et al. ∙

∙ 08/01/2020

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

Traffic accident anticipation aims to predict accidents from dashcam vid...

0 Wentao Bao, et al. ∙

∙ 07/20/2020

Object-Aware Centroid Voting for Monocular 3D Object Detection

Monocular 3D object detection aims to detect objects in a 3D physical wo...

0 Wentao Bao, et al. ∙

∙ 04/23/2020

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

When self-adaptive systems encounter changes within their surrounding en...

0 Jeffrey Palmerino, et al. ∙

∙ 02/15/2020

Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education

Studies indicate that much of the software created today is not accessib...

0 Weishi Shi, et al. ∙

∙ 06/24/2019

Dictionary Learning with BLOTLESS Update

Algorithms for learning a dictionary under which a data in a given set h...

0 Qi Yu, et al. ∙

∙ 05/23/2016

DLAU: A Scalable Deep Learning Accelerator Unit on FPGA

As the emerging field of machine learning, deep learning shows excellent...

0 Chao Wang, et al. ∙

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