About me

I am currently a Ph.D. candidate in the Department of Computer Science at the University of North Carolina at Charlotte , working under the supervision of Dr. Pu Wang at the GENIUS Lab . My research focuses on advancing computer vision and generative AI, particularly in 3D Human Pose Estimation and Mesh Recovery. Moreover, I am interested in 3D Human Motion Generation driven by multi-modal inputs (e.g., text, music, or speech), with a focus on achieving controllable, high-quality synthesis for realistic and dynamically responsive motion generation in real-time interactive settings.

Before joining UNCC, I earned my Bachelor's degree in Computer Science from Lahore University of Management Sciences (LUMS) in August 2021. There, I worked with Dr. Fareed Zaffar and Dr. Agha Ali Raza at the Center for Speech and Language Technologies (CSaLT) .

If you have any research opportunities, please feel free to reach out at msaleem2@charlotte.edu .

Research Interests

My research interests lie in Computer Vision and Generative AI. Specifically, I focus on two interconnected pillars:

• 3D Human Pose Estimation and Mesh Recovery
• Multi-Modality Motion Synthesis
• Multi-Camera Multi-Person Tracking
• Large Vision-Language Models for Video Understanding

News

• Dec 2024: One paper, “DanceMosaic: High-Fidelity Dance Generation with Multimodal Editability” is now available on arXiv.
• Dec 2024: One paper, “GenHMR: Generative Human Mesh Recovery” is accepted to AAAI 2025!
• Dec 2024: A paper on “MaskHand: Generative Masked Modeling for Robust Hand Mesh Reconstruction in the Wild” is now available on arXiv.
• Oct 2024: A paper on “ControlMM: Controllable Masked Motion Generation” is now available on arXiv.
• Oct 2024: One paper, “BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos,” is accepted to WACV 2025!
• July 2024: One paper, “BAMM: Bidirectional Autoregressive Motion Model,” is accepted to ECCV 2024!
• June 2023: One paper, “Private Data Synthesis from Decentralized Non-IID Data,” is accepted to IJCNN 2023, presented in Queensland, Australia, and received a $5000 travel grant!
• April 2023: Presented at the SIAM International Conference on Data Mining (SDM'23) Doctoral Forum and received the NSF $1400 travel grant.
• July 2022: One paper, “Privacy Enhancement for Cloud-Based Few-Shot Learning,” is accepted to IJCNN 2022!
• Jan 2022: One paper, “DP-Shield: Face Obfuscation with Differential Privacy,” is accepted to EDBT 2022!