Chunjiang Liu

MTS @ Bake AI Inc

Agentic Workflow 3DV

I received my M.S. in ECE from Carnegie Mellon University, where I worked with Prof. László A. Jeni and Yizhou Zhao, Ph.D.

My research background is in Computer Vision(3DV).

Publications

MOSIV
ICLR 2026

MOSIV: Multi-Object System Identification from Videos

Chunjiang Liu, Xiaoyuan Wang, Qingran Lin, Albert Xiao, Haoyu Chen, Shizheng Wen, Hao Zhang, Lu Qi, Ming-Hsuan Yang, Laszlo A. Jeni, Min Xu, Yizhou Zhao

MASIV
ICCV 2025

Toward Material-Agnostic System Identification from Videos

Yizhou Zhao, Haoyu Chen, Chunjiang Liu, Zhenyang Li, Charles Herrmann, Junhwa Hur, Yinxiao Li, Ming-Hsuan Yang, Bhiksha Raj, Min Xu

Total-Editing
ICCV 2025 Workshop

Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting

Yizhou Zhao, Chunjiang Liu, Haoyu Chen, Bhiksha Raj, Min Xu, Tadas Baltrusaitis, Mitch Rundle, HsiangTao Wu, Kamran Ghasedi

Working Experience

Full-time 2026 —
Member of Technical Staff
Bake AI Inc.
1Bench: Living benchmark platform tracking frontier AI on expert-verified, unsolvable problems across multiple domains
ArtArena: Visual aesthetic benchmark evaluating AI models on artist-curated artworks against expert judgments
Full-time 2024 — 2025
Research Associate
Carnegie Mellon University, ECE
Multi-object dynamic reconstruction and physics estimation from video via differentiable simulation
Material-agnostic dynamic reconstruction with learnable neural constitutive models
Unified head avatar editing framework with joint control of appearance, motion, and lighting
Internship 2023
Research Intern
YinzCam Inc.
Built a real-time data collection and analysis system for esports players
Synchronized in-game telemetry: health, armor, KDA, etc.
Synchronized biometric streams Captured: ye tracking, heart rate, wrist gestures, and body posture
Internship 2022
Innovation Center Intern
Yamaha Motor Solutions Co., Ltd. Xiamen
Built industrial components dataset with noisy backgrounds
Developed a lightweight, low-latency unsupervised segmentation algorithm for occluded industrial parts detection