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Ali Athar
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2020 – today
- 2024
- [b1]Ali Athar:
Segmenting and tracking objects in video. RWTH Aachen University, Germany, 2024 - [j6]Ali Athar, Md Ariful Islam Mozumder, Abdullah, Sikandar Ali, Heecheol Kim:
Deep learning-based anomaly detection using one-dimensional convolutional neural networks (1D CNN) in machine centers (MCT) and computer numerical control (CNC) machines. PeerJ Comput. Sci. 10: e2389 (2024) - [c18]Muhammad Yaseen, Maisam Ali, Sikander Ali, Ali Hussain, Ali Athar, Hee-Cheol Kim:
Deep Learning Based Cervical Spine Bones Detection: A Case Study Using YOLO. ICACT 2024: 1-5 - [c17]Kounen Fathima, Ali Athar, Hee-Cheol Kim:
Multi-Class Document Classification using LayoutLMv1 and V2. ICACT 2024: 286-289 - 2023
- [j5]Sikandar Ali, Abdullah, Tagne Poupi Theodore Armand, Ali Athar, Ali Hussain, Maisam Ali, Muhammad Yaseen, Moon-Il Joo, Hee-Cheol Kim:
Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security. Sensors 23(2): 565 (2023) - [c16]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRL 2023: 2151-2164 - [c15]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-Based Video Segmentation. CVPR 2023: 18738-18748 - [c14]Ali Athar, Shah Mahsoom Ali, Md Ariful Islam Mozumder, Sikandar Ali, Hee-Cheol Kim:
Applications and Possible Challenges of Healthcare Metaverse. ICACT 2023: 328-332 - [c13]Shah Mahsoom Ali, Satyabrata Aich, Ali Athar, Hee-Cheol Kim:
Medical Education, Training and Treatment Using XR in Healthcare. ICACT 2023: 388-393 - [c12]Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Ali Athar, Hee-Cheol Kim:
The metaverse applications for the finance industry, its challenges, and an approach for the metaverse finance industry. ICACT 2023: 407-410 - [c11]Md Ariful Islam Mozumder, Tagne Poupi Theodore Armand, Rashedul Islam Sumon, Shah Muhammad Imtiyaj Uddin, Ali Athar, Hee-Cheol Kim:
The Metaverse for Intelligent Healthcare using XAI, Blockchain, and Immersive Technology. MetaCom 2023: 612-616 - [c10]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. WACV 2023: 1674-1683 - [i10]Ali Athar, Alexander Hermans, Jonathon Luiten, Deva Ramanan, Bastian Leibe:
TarViS: A Unified Approach for Target-based Video Segmentation. CoRR abs/2301.02657 (2023) - [i9]Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun:
4D-Former: Multimodal 4D Panoptic Segmentation. CoRR abs/2311.01520 (2023) - 2022
- [j4]Sikandar Ali, Ali Hussain, Subrata Bhattacharjee, Ali Athar, Abdullah, Hee-Cheol Kim:
Detection of COVID-19 in X-ray Images Using Densely Connected Squeeze Convolutional Neural Network (DCSCNN): Focusing on Interpretability and Explainability of the Black Box Model. Sensors 22(24): 9983 (2022) - [c9]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. CVPR 2022: 3012-3021 - [c8]Md Ariful Islam Mozumder, Muhammad Mohsan Sheeraz, Ali Athar, Satyabrata Aich, Hee-Cheol Kim:
Overview: Technology Roadmap of the Future Trend of Metaverse based on IoT, Blockchain, AI Technique, and Medical Domain Metaverse Activity. ICACT 2022: 256-261 - [c7]Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe:
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos. WACV 2022: 1929-1938 - [i8]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
Differentiable Soft-Masked Attention. CoRR abs/2206.00182 (2022) - [i7]Ali Athar, Jonathon Luiten, Paul Voigtlaender, Tarasha Khurana, Achal Dave, Bastian Leibe, Deva Ramanan:
BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video. CoRR abs/2209.12118 (2022) - 2021
- [c6]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
A Single-Stage, Bottom-up Approach for Occluded VIS using Spatio-temporal Embeddings. ICCVW 2021: 3851-3855 - [c5]Ali Athar, Sikandar Ali, Muhammad Mohsan Sheeraz, Subrata Bhattacharjee, Hee-Cheol Kim:
Sentimental Analysis of Movie Reviews using Soft Voting Ensemble-based Machine Learning. SNAMS 2021: 1-5 - [i6]Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe:
D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos. CoRR abs/2111.07774 (2021) - [i5]Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe:
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. CoRR abs/2112.09131 (2021) - 2020
- [c4]Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe, Sebastian Hennen:
Making a Case for 3D Convolutions for Object Segmentation in Videos. BMVC 2020 - [c3]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-Temporal Embeddings for Instance Segmentation in Videos. ECCV (11) 2020: 158-177 - [i4]Ali Athar, Sabarinath Mahadevan, Aljosa Osep, Laura Leal-Taixé, Bastian Leibe:
STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. CoRR abs/2003.08429 (2020) - [i3]Sabarinath Mahadevan, Ali Athar, Aljosa Osep, Sebastian Hennen, Laura Leal-Taixé, Bastian Leibe:
Making a Case for 3D Convolutions for Object Segmentation in Videos. CoRR abs/2008.11516 (2020)
2010 – 2019
- 2019
- [j3]Rizwan Asif, Ali Athar, Faisal Mehmood, Fahad Islam, Yasar Ayaz:
Whole-body motion and footstep planning for humanoid robots with multi-heuristic search. Robotics Auton. Syst. 116: 51-63 (2019) - 2018
- [i2]Ali Athar:
An Overview of Datatype Quantization Techniques for Convolutional Neural Networks. CoRR abs/1808.07530 (2018) - [i1]Maryam Babaee, Ali Athar, Gerhard Rigoll:
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification. CoRR abs/1811.04091 (2018) - 2017
- [j2]Vivek P. Jani, Shawn Mailo, Ali Athar, Alfredo Lucas, Alexander T. Williams, Pedro J. Cabrales:
Blood Quality Diagnostic Device Detects Storage Differences Between Donors. IEEE Trans. Biomed. Circuits Syst. 11(6): 1400-1405 (2017) - [c2]Ali Athar, Wasi Haider Butt, Muhammad Waseem Anwar, Muhammad Latif, Farooque Azam:
Exploring the Ensemble of Classifiers for Sentimental Analysis: A Systematic Literature Review. ICMLC 2017: 410-414 - 2016
- [j1]Ali Athar, Rao Muzamal Liaqat, Farooque Azam:
A Comparative Analysis of Software Architecture Evaluation Methods. J. Softw. 11(9): 934-942 (2016) - [c1]Ali Athar, Abdul Moeed Zafar, Rizwan Asif, Armaghan Ahmad Khan, Fahad Islam, Yasar Ayaz, Osman Hasan:
Whole-body motion planning for humanoid robots with heuristic search. IROS 2016: 4720-4727
Coauthor Index
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last updated on 2024-12-03 20:28 CET by the dblp team
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