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
News
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Dec 2024: One paper, “GenHMR: Generative Human Mesh Recovery” is accepted to AAAI 2025!
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Dec 2024: A paper on “MMHMR: Generative Masked Modeling for Hand Mesh Recovery” is now available on arXiv.
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Oct 2024: A paper on “ControlMM: Controllable Masked Motion Generation” is now available on arXiv.
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Oct 2024: One paper, “BioPose: Biomechanically-accurate 3D Pose Estimation from Monocular Videos,” is accepted to WACV 2025!
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July 2024: One paper, “BAMM: Bidirectional Autoregressive Motion Model,” is accepted to ECCV 2024!
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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!
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April 2023: Presented at the SIAM International Conference on Data Mining (SDM'23) Doctoral Forum and received the NSF $1400 travel grant.
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July 2022: One paper, “Privacy Enhancement for Cloud-Based Few-Shot Learning,” is accepted to IJCNN 2022!
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Jan 2022: One paper, “DP-Shield: Face Obfuscation with Differential Privacy,” is accepted to EDBT 2022!