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Umar Khalid
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Journal Articles
- 2014
- [j1]Muhammad Zafar Iqbal, Abdul Ghafoor, Adil Masood Siddiqui, Muhammad Mohsin Riaz, Umar Khalid:
Dual-tree complex wavelet transform and SVD based medical image resolution enhancement. Signal Process. 105: 430-437 (2014)
Conference and Workshop Papers
- 2024
- [c10]Umar Khalid, Hasan Iqbal, Azib Farooq, Jing Hua, Chen Chen:
3DEgo: 3D Editing on the Go! ECCV (30) 2024: 73-89 - [c9]Umar Khalid, Hasan Iqbal, Nazmul Karim, Muhammad Tayyab, Jing Hua, Chen Chen:
LatentEditor: Text Driven Local Editing of 3D Scenes. ECCV (64) 2024: 364-380 - [c8]Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard:
Augmented Neural Fine-Tuning for Efficient Backdoor Purification. ECCV (80) 2024: 401-418 - [c7]Nazmul Karim, Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua:
Free-Editor: Zero-Shot Text-Driven 3D Scene Editing. ECCV (80) 2024: 436-453 - 2023
- [c6]Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen:
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction. IROS 2023: 10141-10148 - [c5]Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua:
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. MLMI@MICCAI (1) 2023: 372-381 - 2022
- [c4]Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard:
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CVPR Workshops 2022: 163-170 - [c3]Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard:
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CVPR Workshops 2022: 3877-3887 - 2021
- [c2]Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard:
Two-Way Spectrum Pursuit for CUR Decomposition and its Application in Joint Column/Row Subset Selection. MLSP 2021: 1-6 - 2019
- [c1]Ghulam Hafeez, Nadeem Javaid, Muhammad Riaz, Umar Khalid, Zafar Iqbal, Ammar Ali:
An Innovative Model Based on FCRBM for Load Forecasting in the Smart Grid. IMIS 2019: 49-62
Informal and Other Publications
- 2024
- [i15]Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard:
Augmented Neural Fine-Tuning for Efficient Backdoor Purification. CoRR abs/2407.10052 (2024) - [i14]Umar Khalid, Hasan Iqbal, Azib Farooq, Jing Hua, Chen Chen:
3DEgo: 3D Editing on the Go! CoRR abs/2407.10102 (2024) - [i13]Amna Khalid, Ayma Khalid, Umar Khalid:
The Role of Language Models in Modern Healthcare: A Comprehensive Review. CoRR abs/2409.16860 (2024) - 2023
- [i12]Nazmul Karim, Umar Khalid, Mohsen Joneidi, Chen Chen, Nazanin Rahnavard:
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing. CoRR abs/2305.18670 (2023) - [i11]Hasan Iqbal, Umar Khalid, Jing Hua, Chen Chen:
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. CoRR abs/2305.19867 (2023) - [i10]Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard:
Efficient Backdoor Removal Through Natural Gradient Fine-tuning. CoRR abs/2306.17441 (2023) - [i9]Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen:
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction. CoRR abs/2308.14965 (2023) - [i8]Umar Khalid, Hasan Iqbal, Nazmul Karim, Jing Hua, Chen Chen:
LatentEditor: Text Driven Local Editing of 3D Scenes. CoRR abs/2312.09313 (2023) - [i7]Nazmul Karim, Umar Khalid, Hasan Iqbal, Jing Hua, Chen Chen:
Free-Editor: Zero-shot Text-driven 3D Scene Editing. CoRR abs/2312.13663 (2023) - 2022
- [i6]Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard:
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CoRR abs/2204.02553 (2022) - [i5]Umar Khalid, Nazmul Karim, Nazanin Rahnavard:
RF Signal Transformation and Classification using Deep Neural Networks. CoRR abs/2204.03564 (2022) - [i4]Addel Zafar, Umar Khalid:
Detect-and-describe: Joint learning framework for detection and description of objects. CoRR abs/2204.08828 (2022) - [i3]Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard:
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CoRR abs/2204.09881 (2022) - 2021
- [i2]Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari, Umar Khalid, Nazanin Rahnavard:
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection. CoRR abs/2106.06983 (2021) - [i1]Nazmul Karim, Umar Khalid, Nick Meeker, Sarinda Samarasinghe:
Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning. CoRR abs/2110.04459 (2021)
Coauthor Index
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