Mustansar Fiaz

According to our database, Mustansar Fiaz authored at least 37 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving 3-D Medical Image Segmentation at Boundary Regions Using Local Self-Attention and Global Volume Mixing.

Daniya Najiha Abdul Kareem, Mustansar Fiaz, Noa Novershtern, Jacob Hanna, Hisham Cholakkal

IEEE Trans. Artif. Intell., June, 2024

Remote Sensing Change Detection With Transformers Trained From Scratch.

Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Salman Khan, Fahad Khan

IEEE Trans. Geosci. Remote. Sens., 2024

ELGC-Net: Efficient Local-Global Context Aggregation for Remote Sensing Change Detection.

Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal, Salman H. Khan, Fahad Shahbaz Khan

IEEE Trans. Geosci. Remote. Sens., 2024

Guided-attention and gated-aggregation network for medical image segmentation.

Mustansar Fiaz, Mubashir Noman, Hisham Cholakkal, Rao Muhammad Anwer, Jacob Hanna, Fahad Shahbaz Khan

Pattern Recognit., 2024

EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues.

Sagar Soni, Akshay Dudhane, Hiyam Debary, Mustansar Fiaz, Muhammad Akhtar Munir, Muhammad Sohail Danish, Paolo Fraccaro, Campbell D. Watson, Levente J. Klein, Fahad Shahbaz Khan, Salman H. Khan

CoRR, 2024

CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections.

Mohamed Fazli Mohamed Imam, Rufael Fedaku Marew, Jameel Hassan, Mustansar Fiaz, Alham Fikri Aji, Hisham Cholakkal

CoRR, 2024

COSNet: A Novel Semantic Segmentation Network using Enhanced Boundaries in Cluttered Scenes.

Muhammad Ali, Mamoona Javaid, Mubashir Noman, Mustansar Fiaz, Salman H. Khan

CoRR, 2024

Improving 3D Medical Image Segmentation at Boundary Regions using Local Self-attention and Global Volume Mixing.

Daniya Najiha Abdul Kareem, Mustansar Fiaz, Noa Novershtern, Jacob Hanna, Hisham Cholakkal

CoRR, 2024

A Survey of the Self Supervised Learning Mechanisms for Vision Transformers.

Asifullah Khan, Anabia Sohail, Mustansar Fiaz, Mehdi Hassan, Tariq Habib Afridi, Sibghat Ullah Marwat, Farzeen Munir, Safdar Ali, Hannan Naseem, Muhammad Zaigham Zaheer, Kamran Ali, Tangina Sultana, Ziaurrehman Tanoli, Naeem Akhter

CoRR, 2024

FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background.

Muhammad Ali, Mamoona Javaid, Mubashir Noman, Mustansar Fiaz, Salman H. Khan

CoRR, 2024

ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection.

Mubashir Noman, Mustansar Fiaz, Hisham Cholakkal

CoRR, 2024

DDAM-PS: Diligent Domain Adaptive Mixer for Person Search.

Mohammed Khaleed Almansoori, Mustansar Fiaz, Hisham Cholakkal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Medical Image Segmentation Using Directional Window Attention.

Daniya Najiha Abdul Kareem, Mustansar Fiaz, Noa Novershtern, Hisham Cholakkal

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

ChangeBind: A Hybrid Change Encoder for Remote Sensing Change Detection.

Mubahsir Noman, Mustansar Fiaz, Hisham Cholakkal

Proceedings of the IGARSS 2024, 2024

Detection and Characterization of Urban Heat Islands with Machine Learning.

Muaaz Bhamjee, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne E. Vos, Levente J. Klein, Sibusisiwe Makhanya, Campbell D. Watson, Julian Kuehnert

Proceedings of the IGARSS 2024, 2024

2023

SAT: Scale-Augmented Transformer for Person Search.

Mustansar Fiaz, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Anchor-ReID: A Test Time Adaptation for Person Re-identification.

Mohammed Khaleed Almansoori, Mustansar Fiaz, Hisham Cholakkal

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

PSM-PS: Part-Based Signal Modulation for Person Search.

Reem Abdalla Sharif, Mustansar Fiaz, Rao Muhammad Anwer

Proceedings of the Computer Analysis of Images and Patterns, 2023

SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation.

Mustansar Fiaz, Moein Heidari, Rao Muhammad Anwer, Hisham Cholakkal

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Video Object Segmentation Based on Guided Feature Transfer Learning.

Mustansar Fiaz, Arif Mahmood, Sehar Shahzad Farooq, Kamran Ali, Muhammad Shaheryar, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 28th International Workshop, 2022

PS-ARM: An End-to-End Attention-Aware Relation Mixer Network for Person Search.

Mustansar Fiaz, Hisham Cholakkal, Sanath Narayan, Rao Muhammad Anwer, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

4G-VOS: Video Object Segmentation using guided context embedding.

Mustansar Fiaz, Muhammad Zaigham Zaheer, Arif Mahmood, Seung-Ik Lee, Soon Ki Jung

Knowl. Based Syst., 2021

Robust Tracking via Feature Enrichment and Overlap Maximization.

Mustansar Fiaz, Kamran Ali, Sangbum Yun, Ki Yeol Baek, Hye Jin Lee, In Su Kim, Arif Mahmood, Sehar Shahzad Farooq, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

Multi-modality Based Affective Video Summarization for Game Players.

Sehar Shahzad Farooq, Abdullah Aziz, Hammad Mukhtar, Mustansar Fiaz, Ki Yeol Baek, Naram Choi, Sang Bin Yun, Kyung-Joong Kim, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 27th International Workshop, 2021

2020

Learning Soft Mask Based Feature Fusion with Channel and Spatial Attention for Robust Visual Object Tracking.

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung

Sensors, 2020

Improving Object Tracking by Added Noise and Channel Attention.

Mustansar Fiaz, Arif Mahmood, Ki Yeol Baek, Sehar Shahzad Farooq, Soon Ki Jung

Sensors, 2020

Efficient Visual Tracking With Stacked Channel-Spatial Attention Learning.

Md. Maklachur Rahman, Mustansar Fiaz, Soon Ki Jung

IEEE Access, 2020

Detection of Speech Impairments in Parkinson Disease Using Handcrafted Feature-Based Model on Spanish Speech Corpus.

Laiba Zahid, Muazzam Maqsood, Sehar Shahzad Farooq, Farhan Aadil, Irfan Mehmood, Mustansar Fiaz, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

Adaptive Feature Selection Siamese Networks for Visual Tracking.

Mustansar Fiaz, Md. Maklachur Rahman, Arif Mahmood, Sehar Shahzad Farooq, Ki Yeol Baek, Soon Ki Jung

Proceedings of the Frontiers of Computer Vision - 26th International Workshop, 2020

2019

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends.

Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung

ACM Comput. Surv., 2019

Brain MRI Segmentation using Rule-Based Hybrid Approach.

Mustansar Fiaz, Kamran Ali, Abdul Rehman, M. Junaid Gul, Soon Ki Jung

CoRR, 2019

Convolutional neural network with structural input for visual object tracking.

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

2018

Handcrafted and Deep Trackers: A Review of Recent Object Tracking Approaches.

Mustansar Fiaz, Arif Mahmood, Sajid Javed, Soon Ki Jung

CoRR, 2018

Tracking Noisy Targets: A Review of Recent Object Tracking Approaches.

Mustansar Fiaz, Arif Mahmood, Soon Ki Jung

CoRR, 2018

Comparative Study of ECO and CFNet Trackers in Noisy Environment.

Mustansar Fiaz, Sajid Javed, Arif Mahmood, Soon Ki Jung

CoRR, 2018

2016

Gender Identification using MFCC for Telephone Applications - A Comparative Study.

Jamil Ahmad, Mustansar Fiaz, Soon-il Kwon, Maleerat Sodanil, Bay Vo, Sung Wook Baik

CoRR, 2016

2011

Medical Image Segmentation Using H-minima Transform and Region Merging Technique.

Kamran Ali, Abdul Jalil, M. Umair Gull, Mustansar Fiaz

Proceedings of the 2011 Frontiers of Information Technology, 2011