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Alakh Aggarwal
Alakh Aggarwal

Alakh Aggarwal

Seeing what the camera can’t.

I build 3D vision systems that recover hidden shape, texture, and fit, and take them from research paper to product.

I’m a research engineer in 3D computer vision. I reconstruct people, garments, and objects from ordinary images, including the parts the camera can’t see. At Digi-Clone I lead R&D for a 3D virtual try-on product, from estimating the body to simulating the cloth. Before that, I did my Ph.D. at UT Dallas with Dr. Xiaohu Guo on occlusion-aware 3D reconstruction from hand-object interactions; that work produced TexHOI, which won the CVM 2025 Best Paper Award. My name, Alakh, is Sanskrit for “that which cannot be perceived by the eye”, which suits someone who spends his days recovering hidden surfaces.

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Best Paper

CVM 2025

For TexHOI, published in IEEE TVCG.

AIR 835

JEE Advanced

All-India Rank, 2015.

~200

Citations

On Google Scholar.

Now
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Senior Research Engineer, Digi-Clone · Sep 2025 – present

I’m the sole R&D engineer on a 3D virtual try-on product, leading the R&D funded by the company’s NSF SBIR Phase I award; I built the product’s technical MVP under it.

  • Two photos → a 3D body. It fits a parametric body model from a front photo, a side photo, and tape measurements.
  • Garments on bodies. It places sewing-pattern panels on the avatar and drapes them with cloth simulation, across size-graded women’s and men’s garments.
  • Measured, not eyeballed. Across 15 garments, every draped seam closes within 8.6 mm. 13 of 15 garments have zero body penetration, and fabric stretch averages under 1.2×.

Selected work
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TexHOI

TexHOI

IEEE TVCG (CVM 2025), Best Paper Award. Reconstructs the shape and true surface color of an unknown object from a single video of a hand handling it.
Layered-Garment Net

Layered-Garment Net

ACCV 2022, with Samsung Research America. From one photo of a person, rebuilds each layer of clothing as separate 3D surfaces that never pass through each other.

Earlier work: synthetic-to-real object detection (NCVPRIPG 2017, 100+ citations) · GAN-based face de-identification (IEEE IEMTRONICS 2020) · broad learning for aerial change detection (IEMGraph 2018) · vision-based navigation for an autonomous underwater vehicle (IIT BHU). All research

Experience
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  1. Senior Research Engineer

    2025 – present

    Digi-Clone · remote (Atlanta)

    R&D for a 3D virtual try-on product: body estimation from photos, garment placement, and cloth draping.

  2. Ph.D., Computer Science

    2019 – 2025

    UT Dallas · Computer Graphics & Animation Lab

    GPA 4.0. Advisor Dr. Xiaohu Guo. Occlusion-aware 3D reconstruction from human-object interactions. Teaching assistant for Computer Graphics, Animation & Gaming, Algorithms, AI, and Databases.

  3. Research Intern

    2018

    Samsung Research Institute · Bangalore

    On-device lip reading.

  4. Research Fellow

    2017

    IIT Gandhinagar

    Sim-to-real object detection.

  5. B.Tech (Hons.), Computer Science and Engineering

    2015 – 2019

    IIT (BHU) Varanasi

    Joined with JEE Advanced All-India Rank 835.

News
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  • Oct 2025: Defended my Ph.D. thesis, “Learning Complex Occlusion-Aware 3D Representations from Human-Object Interactions.”
  • Sep 2025: Joined Digi-Clone as Senior Research Engineer, leading R&D for 3D virtual try-on.
  • Aug 2025: Digi-Clone received an NSF SBIR Phase I award.
  • Apr 2025: TexHOI won the Best Paper Award at CVM 2025.
  • Apr 2025: Received the Betty and Gifford Johnson Travel Award, UT Dallas.
  • Apr 2025: Passed my Ph.D. proposal.
Earlier news, 2015 – 2025
  • Feb 2025: TexHOI accepted to CVM 2025 and recommended to IEEE TVCG.
  • Sep 2022: Layered-Garment Net accepted to ACCV 2022.
  • Sep 2020: Face de-identification paper (EPD-Net) published at IEEE IEMTRONICS 2020.
  • Aug 2019: Started my Ph.D. in Computer Science at UT Dallas.
  • Jul 2019: Broad Neural Network paper published in Springer AICS.
  • May 2019: Graduated with a B.Tech (Hons.) in CSE from IIT (BHU) Varanasi.
  • May 2018: Research internship at Samsung Research Institute, Bangalore, on lip reading.
  • Dec 2017: Presented synthetic-to-real object detection at NCVPRIPG 2017, IIT Mandi.
  • May 2017: Research fellowship at IIT Gandhinagar.
  • 2016: Champion, Technex Robosoccer, IIT (BHU).
  • Jul 2015: Joined IIT (BHU) Varanasi with JEE Advanced All-India Rank 835.