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Conference
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2025 |
Unknown object detection by leveraging Segment Anything Model for labeling the OOD objects
Seher Kanwal
International Conference on Information and Communication Technology Convergence (ICTC) 2025, pp.1-3 |
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Conference
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2025 |
Beyond-Labels: Advancing Open-Vocabulary Segmentation With Vision-Language Models
Muhammad Atta ur Rahman
International Conference on Advanced Computational Intelligence (ICACI) 2025, pp.231-236 |
1 |
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Conference
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2025 |
Lidar Depth Augmented Feature Matches for Relative Pose Estimation
Kemal Mudie Tosora
대한전자공학회 학술 대회 (하계) 2025, pp.1-3 |
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Conference
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2025 |
Object Detection as a Diffusion Process with Label Denoising and Deformable Attention
Seher Kanwal
영상처리 및 이해에 관한 워크샵 (IPIU) 2025, pp.1-3 |
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Journal
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2024 |
Clustering Aided Weakly Supervised Training to Detect Anomalous Events in Surveillance Videos
Muhammad Zaigham Zaheer
IEEE Transactions on Neural Networks and Learning Systems, v.35, no.10, pp.14085-14098 |
24 |
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Journal
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2024 |
Exploiting autoencoder’s weakness to generate pseudo anomalies
Marcella Astrid
Neural Computing and Applications, v.36, no.23, pp.14075-14091 |
1 |
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Journal
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2023 |
Assembling three one‐camera images for three‐camera intersection classification
Marcella Astrid
ETRI Journal, v.45, no.5, pp.862-873 |
1 |
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Journal
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2023 |
Semantic-guided de-attention with sharpened triplet marginal loss for visual place recognition
Seung-Min Choi
Pattern Recognition, v.141, pp.1-13 |
5 |
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Conference
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2023 |
Leveraging Class-agnostic Object Proposals for Open-world Object Detection
Assefa Seyoum Wahd
International Conference on Robot and Human Interactive Communication (RO-MAN) 2023, pp.1-2 |
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Conference
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2023 |
Joint Classification and Normalizing Flow Model for Out-of-Distribution Detection
Assefa Seyoum Wahd
대한전자공학회 학술 대회 (하계) 2023, pp.1095-1096 |
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Journal
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2023 |
PseudoBound: Limiting the Anomaly Reconstruction Capability of One-Class Classifiers Using Pseudo Anomalies
Marcella Astrid
Neurocomputing, v.534, pp.147-160 |
21 |
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Journal
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2023 |
Conditions Affecting Attack Success Rate of Adversarial Patch
정현재
정보과학회논문지, v.50, no.2, pp.185-195 |
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Conference
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2023 |
Low-Likelihood EBM Samples for Out-of-Distribution Detection
Assefa Seyoum Wahd
영상처리 및 이해에 관한 워크샵 (IPIU) 2023, pp.1-6 |
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Conference
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2022 |
Cable Instance Segmentation with Synthetic Data Generation
Assefa Seyoum Wahd
International Conference on Control, Automation and Systems (ICCAS 2022), pp.1533-1538 |
1 |
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Conference
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2022 |
Driver Drowsiness Detection based on 3D Convolution Neural Network with Optimized Window Size
Namkyoo Kang
International Conference on Information and Communication Technology Convergence (ICTC) 2022, pp.425-428 |
5 |
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Conference
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2022 |
Constructing Three-Camera Data with One-Camera Data for Intersection Detection
Marcella Astrid
정보 및 제어 학술 대회 (CICS) 2022, pp.26-27 |
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Conference
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2022 |
The Comparisons of Boundary Data Generation for Semi-Supervised Learning in Image Classification
Marcella Astrid
한국 인공지능 학술대회 2022, pp.1-2 |
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Journal
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2022 |
Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
Muhammad Zaigham Zaheer
IEEE Transactions on Image Processing, v.31, pp.5963-5975 |
11 |
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Conference
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2022 |
Limiting Reconstruction Capability of Autoencoders Using Moving Backward Pseudo Anomalies
Marcella Astrid
International Conference on Ubiquitous Robots (UR) 2022, pp.248-251 |
7 |
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Conference
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2022 |
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
M. Zaigham Zaheer
Conference on Computer Vision and Pattern Recognition (CVPR) 2022, pp.14744-14754 |
168 |
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Conference
|
2022 |
Generalizing Skipping Frame Pseudo Anomaly Based Anomaly Detection Into Prediction Task
Marcella Astrid
통신 정보 합동 학술 대회 (JCCI) 2022, pp.1-1 |
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Conference
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2022 |
Semi-Supervised Learning Using Data Between Real and Noise
Marcella Astrid
한국통신학회 종합 학술 발표회 (동계) 2022, pp.545-546 |
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Conference
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2021 |
The Comparisons of Different Base Networks for Pedestrian-View Intersection Classification
Marcella Astrid
한국소프트웨어 종합 학술 대회 2021, pp.685-687 |
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Conference
|
2021 |
Learning Not to Reconstruct Anomalies
Marcella Astrid
British Machine Vision Conference (BMVC) 2021, pp.1-15 |
24 |
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Conference
|
2021 |
Intra-Batch Features Separation for Indoor and Outdoor Pedestrian-View Intersection Classification
Marcella Astrid
International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-4 |
0 |
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Conference
|
2021 |
Detecting Change to Quantify Anomalies for Robust Outdoor Surveillance
Muhammad Zaigham Zaheer
International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-3 |
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Conference
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2021 |
Comparisons of Domain-Removal Losses in Multi-Domain Pedestrian-View Intersection Classification
Marcella Astrid
한국 인공지능 학술대회 2021, pp.349-350 |
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Conference
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2021 |
Domain-Robust Pedestrian-View Intersection Classification
Marcella Astrid
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1087-1090 |
1 |
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Conference
|
2021 |
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
Marcella Astrid
International Conference on Computer Vision Workshops (ICCVW) 2021, pp.207-214 |
72 |
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Conference
|
2021 |
An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration
Muhammad Zaigham Zaheer
International Conference on Computer Vision Workshops (ICCVW) 2021, pp.2595-2601 |
22 |
|
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Conference
|
2021 |
Does Identity Mapping Really Help in ResNet?
Yoo-Kyung Lee,
Dong-Hwan Lee
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1077-1080 |
0 |
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Conference
|
2021 |
Fighting Against Data Deficiency Problems for Surveillance
Seung-Ik Lee
International Conference on Control, Automation and Systems (ICCAS) 2021, pp.1-3 |
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Conference
|
2021 |
A simple and efficient background separation method for stationary camera based videos
무함마드 제감 자히르
대한전자공학회 학술 대회 (하계) 2021, pp.1625-1627 |
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Conference
|
2021 |
The Importance of ImageNet-Pretrained Network on Pedestrian-View Intersection Classification
Marcella Astrid
대한전자공학회 학술 대회 (하계) 2021, pp.1565-1568 |
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Conference
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2021 |
The Effects of Randomizing Input Feature Vectors When Training Video Based Learning Models
Muhammad Zaigham Zaheer
한국컴퓨터 종합 학술대회 2021, pp.654-656 |
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Conference
|
2021 |
Small Object Detection using Context and Attention
Jeong-Seon Lim
International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2021, pp.181-186 |
321 |
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Conference
|
2021 |
Deep Visual Anomaly Detection with Negative Learning
Jin-Ha Lee
International Workshop on Frontiers of Computer Vision (IW-FCV) 2021 (CCIS 1405), pp.1-15 |
2 |
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Conference
|
2020 |
Infant abnormal behavior classification through weakly supervised learning
YEJIN LEE
International Conference on Intelligent Robots and Systems (IROS) 2020, pp.12118-12121 |
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Conference
|
2020 |
Generative Adversarial Network for Robust Regression using Continuous Dataset
Yu-Lim Min
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1209-1211 |
2 |
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Conference
|
2020 |
What Do Pedestrians See?: Visualizing Pedestrian-View Intersection Classification
Marcella Astrid
International Conference on Control, Automation and Systems (ICCAS) 2020, pp.769-773 |
2 |
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Conference
|
2020 |
For Safer Navigation: Pedestrian-View Intersection Classification
Marcella Astrid
International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.7-10 |
4 |
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Journal
|
2020 |
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels
Muhammad Zaigham Zaheer
IEEE Signal Processing Letters, v.27, pp.1705-1709 |
106 |
|
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Conference
|
2020 |
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
Muhammad Zaigham Zaheer
European Conference on Computer Vision (ECCV) 2020, pp.1-18 |
147 |
|
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Conference
|
2020 |
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
Muhammad Zaigham Zaheer
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, pp.14171-14181 |
238 |
|
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Conference
|
2020 |
Cleaning Label Noise with Clusters for Minimally Supervised Anomaly Detection
Muhammad Zaigham Zaheer
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2020, pp.1-4 |
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Conference
|
2020 |
SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers
Jin-Ha Lee
Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2020, pp.3264-3274 |
42 |
|
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Conference
|
2019 |
A Brief Survey on Contemporary Methods for Anomaly Detection in Videos
M. Zaigham Zaheer
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.472-473 |
15 |
|
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Conference
|
2019 |
Improvement in Deep Networks for Optimization Using eXplainable Artificial Intelligence
Jin ha Lee
International Conference on Information and Communication Technology Convergence (ICTC) 2019, pp.525-530 |
12 |
|
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Conference
|
2018 |
CNN based Sentence Classification with Semantic Features using Word Clustering
Hwa-Yeon Kim
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.484-488 |
5 |
|
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Conference
|
2018 |
Ensemble Grid Formation to Detect Potential Anomalous Regions Using Context Encoders
Muhammad Zaigham Zaheer
International Conference on Control, Automation and Systems (ICCAS) 2018, pp.661-665 |
0 |
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