Byeongkeun Kang

Eng. Appl. Artif. Intell., January, 2024

Enhancing Long-Term Person Re-Identification Using Global, Local Body Part, and Head Streams.

[BibT_eX]

[DOI]

Duy Tran Thanh

CoRR, 2024

2023

Human Perception-Oriented Enhancement and Smoothing for Perceptual Video Coding.

[BibT_eX]

[DOI]

Wonha Kim

IEEE Trans. Broadcast., September, 2023

Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

David Kim

Sinhae Cha

CoRR, 2023

Multiscale Vision Transformer With Deep Clustering-Guided Refinement for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

David Minkwan Kim

Sinhae Cha

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2023

FDCNet: Feature Drift Compensation Network for Class-Incremental Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Sampling Agnostic Feature Representation for Long-Term Person Re-Identification.

[BibT_eX]

[DOI]

Seongyeop Yang

IEEE Trans. Image Process., 2022

Image-to-Image Translation-Based Data Augmentation for Robust EV Charging Inlet Detection.

[BibT_eX]

[DOI]

Yeonjun Bang

IEEE Robotics Autom. Lett., 2022

2021

A Driver's Visual Attention Prediction Using Optical Flow.

[BibT_eX]

[DOI]

Sensors, 2021

Segmentation-Based Seam Cutting for High-Resolution 360-Degree Video Stitching.

[BibT_eX]

[DOI]

IEEE Access, 2021

2020

High-Resolution Neural Network for Driver Visual Attention Prediction.

[BibT_eX]

[DOI]

Sensors, 2020

Generating Images in Compressed Domain Using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Subarna Tripathi

IEEE Access, 2020

2019

Random Forest With Learned Representations for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Toward Joint Image Generation and Compression using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Subarna Tripathi

CoRR, 2019

Incremental Class Discovery for Semantic Segmentation With RGBD Sensing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Robust Representations in Random Forest and Deep Neural Networks for Semantic Segmentation.

[BibT_eX]

[DOI]

PhD thesis, 2018

Depth-Adaptive Deep Neural Network for Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2018

Accurate and Efficient Video De-Fencing Using Convolutional Neural Networks and Temporal Information.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017

A computational framework for driver's visual attention using a fully convolutional architecture.

[BibT_eX]

[DOI]

Ashish Tawari

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Hand segmentation for hand-object interaction from depth map.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

LCDet: Low-Complexity Fully-Convolutional Neural Networks for Object Detection in Embedded Systems.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2016

Hand Segmentation for Hand-Object Interaction from Depth map.

[BibT_eX]

[DOI]

CoRR, 2016

2015

Long-Range Motion Trajectories Extraction of Articulated Human Using Mesh Evolution.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Hand Articulations Tracking Using Adaptive Hand Model and Depth Map.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing - 11th International Symposium, 2015

Real-time sign language fingerspelling recognition using convolutional neural networks from depth map.

[BibT_eX]

[DOI]

Subarna Tripathi