Hyungtae Lee | DeepAI

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B. S. Manjunath
49 publications
David Doermann
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Heesung Kwon
29 publications
Sanjay Purushotham
15 publications
Nirmalya Roy
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Sungmin Eum
11 publications
Zahid Hasan
6 publications
William D. Nothwang
5 publications
Archith J. Bency
4 publications
Abu Zaher Md Faridee
4 publications
Yi-Ting Shen
3 publications

∙ 07/07/2023

Novel Categories Discovery from probability matrix perspective

Novel Categories Discovery (NCD) tackles the open-world problem of class...

0 Zahid Hasan, et al. ∙

∙ 04/14/2023

NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery

Novel Categories Discovery (NCD) facilitates learning from a partially a...

0 Zahid Hasan, et al. ∙

∙ 11/03/2022

Progressive Transformation Learning For Leveraging Virtual Images in Training

To effectively interrogate UAV-based images for detecting objects of int...

0 Yi-Ting Shen, et al. ∙

∙ 07/20/2022

Negative Samples are at Large: Leveraging Hard-distance Elastic Loss for Re-identification

We present a Momentum Re-identification (MoReID) framework that can leve...

0 Hyungtae Lee, et al. ∙

∙ 04/07/2022

Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification

A pretrain-finetune strategy is widely used to reduce the overfitting th...

0 Hyungtae Lee, et al. ∙

∙ 04/06/2022

DBF: Dynamic Belief Fusion for Combining Multiple Object Detectors

In this paper, we propose a novel and highly practical score-level fusio...

5 Hyungtae Lee, et al. ∙

∙ 02/08/2022

Self-supervised Contrastive Learning for Cross-domain Hyperspectral Image Representation

Recently, self-supervised learning has attracted attention due to its re...

0 Hyungtae Lee, et al. ∙

∙ 02/11/2019

S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition

We present a novel event recognition approach called Spatially-preserved...

0 Hyungtae Lee, et al. ∙

∙ 01/24/2019

Is Pretraining Necessary for Hyperspectral Image Classification?

We address two questions for training a convolutional neural network (CN...

0 Hyungtae Lee, et al. ∙

∙ 12/13/2018

Discovering and Generating Hard Examples for Training a Red Tide Detector

Currently, accurate detection of natural phenomena, such as red tide, th...

0 Hyungtae Lee, et al. ∙

∙ 11/07/2018

DOD-CNN: Doubly-injecting Object Information for Event Recognition

Recognizing an event in an image can be enhanced by detecting relevant o...

0 Hyungtae Lee, et al. ∙

∙ 01/31/2018

Cross-domain CNN for Hyperspectral Image Classification

In this paper, we address the dataset scarcity issue with the hyperspect...

0 Hyungtae Lee, et al. ∙

∙ 04/04/2017

ME R-CNN: Multi-Expert R-CNN for Object Detection

We introduce Multi-Expert Region-based CNN (ME R-CNN) which is equipped ...

0 Hyungtae Lee, et al. ∙

∙ 03/21/2017

IOD-CNN: Integrating Object Detection Networks for Event Recognition

Many previous methods have showed the importance of considering semantic...

0 Sungmin Eum, et al. ∙

∙ 10/21/2016

Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification

In this paper, we introduce a novel fusion method that can enhance objec...

0 Yilun Cao, et al. ∙

∙ 10/21/2016

Exploitation of Semantic Keywords for Malicious Event Classification

Learning an event classifier is challenging when the scenes are semantic...

0 Hyungtae Lee, et al. ∙

∙ 04/12/2016

Going Deeper with Contextual CNN for Hyperspectral Image Classification

In this paper, we describe a novel deep convolutional neural network (CN...

0 Hyungtae Lee, et al. ∙

∙ 04/12/2016

DTM: Deformable Template Matching

A novel template matching algorithm that can incorporate the concept of ...

0 Hyungtae Lee, et al. ∙

∙ 04/12/2016

Fast Object Localization Using a CNN Feature Map Based Multi-Scale Search

Object localization is an important task in computer vision but requires...

0 Hyungtae Lee, et al. ∙

∙ 03/01/2016

Weakly Supervised Localization using Deep Feature Maps

Object localization is an important computer vision problem with a varie...

0 Archith J. Bency, et al. ∙

∙ 11/10/2015

Dynamic Belief Fusion for Object Detection

A novel approach for the fusion of heterogeneous object detection method...

0 Hyungtae Lee, et al. ∙

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