Umar Khalid

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 20

Top Topics

Image Resolution Enhancement

Diffusion Models

Binary Matrices

Unsupervised Anomaly Detection

Top Venues

MLMI@MICCAI (1)

Publications

Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard
Augmented Neural Fine-Tuning for Efficient Backdoor Purification. CoRR (2024)
Umar Khalid, Hasan Iqbal, Azib Farooq, Michael J. Hua, Chen Chen
3DEgo: 3D Editing on the Go! CoRR (2024)
Umar Khalid, Hasan Iqbal, Nazmul Karim, Jing Hua, Chen Chen
LatentEditor: Text Driven Local Editing of 3D Scenes. CoRR (2023)
Nazmul Karim, Umar Khalid, Hasan Iqbal, Jing Hua, Chen Chen
Free-Editor: Zero-shot Text-driven 3D Scene Editing. CoRR (2023)
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 (2023)
Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction. CoRR (2023)
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)
Hasan Iqbal, Umar Khalid, Jing Hua, Chen Chen
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. CoRR (2023)
Nazmul Karim, Abdullah Al Arafat, Umar Khalid, Zhishan Guo, Nazanin Rahnavard
Efficient Backdoor Removal Through Natural Gradient Fine-tuning. CoRR (2023)
Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model. MLMI@MICCAI (1) (2023)
Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CVPR Workshops (2022)
Umar Khalid, Nazmul Karim, Nazanin Rahnavard
RF Signal Transformation and Classification using Deep Neural Networks. CoRR (2022)
Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CoRR (2022)
Umar Khalid, Ashkan Esmaeili, Nazmul Karim, Nazanin Rahnavard
RODD: A Self-Supervised Approach for Robust Out-of-Distribution Detection. CVPR Workshops (2022)
Addel Zafar, Umar Khalid
Detect-and-describe: Joint learning framework for detection and description of objects. CoRR (2022)
Nazmul Karim, Umar Khalid, Ashkan Esmaeili, Nazanin Rahnavard
CNLL: A Semi-supervised Approach For Continual Noisy Label Learning. CoRR (2022)
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 (2021)
Nazmul Karim, Umar Khalid, Nick Meeker, Sarinda Samarasinghe
Adversarial Training for Face Recognition Systems using Contrastive Adversarial Learning and Triplet Loss Fine-tuning. CoRR (2021)
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)
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)
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 (2014)