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Theia-4869's profile

Hello, I'm Qizhe Zhang!

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About Me

I am currently a Ph.D. candidate at HMI Lab, NELVT, School of Computer Science, Peking University, advised by Prof. Shanghang Zhang. I received my Bachelor's degree in Artificial Intelligence (Turing Honor Class) from Peking University, where I also obtained a dual degree in Economics from National School of Development (NSD).

Research Interests

  • Computer Vision: Visual Foundation Models, Transfer Learning, Efficient Tuning, Continual Learning and Autonomous Driving.
  • Machine Learning: Contrastive Learning, Mixture of Experts, Sparse Training and Computational Neuroscience.

Research Projects

Programming Languages

GitHub Stats

Contact

📧Email: [email protected], [email protected]

Qizhe Zhang's Projects

4d-pls-poss icon 4d-pls-poss

4D Panoptic Lidar Segmentation for Semantic Poss Dataset

bicross icon bicross

Official code of BiCross (Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer) [ICRA 2024].

bicross-old icon bicross-old

BiCross (Unsupervised Spike Depth Estimation via Cross-modality Cross-domain Knowledge Transfer).

dair-v2x icon dair-v2x

A modified version of the OpenDAIRV2X for the competition of VIC3D Object Detection challenge.

gps icon gps

Official code of GPS (Gradient-based Parameter Selection for Efficient Fine-Tuning).

mosa icon mosa

Official code of MoSA (Mixture of Sparse Adapters).

render icon render

Computer Generated Imagery Project3 - Render. Scripts are written in C++ and compiled by xmake.

semantic-poss-api icon semantic-poss-api

SemanticPOSS API for visualizing dataset, processing data, and evaluating results.

simulation icon simulation

Computer Generated Imagery Project2 - Simulation. Scripts are written in C# and rendered in Unity.

u-risc icon u-risc

EM cytomembrane segmentation with neural network ensemble and morphological processing.

vc-2014-mc1 icon vc-2014-mc1

VAST Chanllenge 2014 MC1, case analysis visualization.

vet icon vet

Visual Efficient Tuning. (PEFT v.s. FT)

vpd-mt icon vpd-mt

Visual Perception Diffusion Models with Multiple Timestamps.

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