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Hi there πŸ‘‹

Lily (Xianling) Zhang is a Machine Learning Research Scientist at Ford Autonomy, Palo Alto, CA, located at Ford Greenfield Labs, Stanford Research Park. She is working on Perception and Prediction for autonomous driving tasks.

πŸ”­ Research projects:

  • 3D perception and motion prediction
  • Geometric scene understanding based data manipulation(scene relighting) to significantly improve the performance of SOTA CenterTrack algorithm.
  • Dataset bias identification using perceptual similarity based data clustering for large scale dataset meta labeling, similar data searching, balanced data selection for training set curation.
  • Image synthesize using Generative Adversarial Networks(GANs) and 3D game engines that achieves consistent improvement over multple autonomous driving task: parking slot detection, highway lane segmentation, and monodepth estimation.

πŸ’¬ Recent News:

  • One of her recent 2022 CVPR publication on scene relighting has been accepted to NVIDIA GTC 2023. She is looking forward to sharing the work with the community. Feel free to bring some tough questions in the session.πŸ˜„

LinkedIn Website

Lily (Xianling) Zhang's Projects

a-simple-cplusplus-game icon a-simple-cplusplus-game

This is a simple word puzzle game written in C++ and Unreal Coding standard. [Unreal Syntax Friendly]

a-spooky-ar-app icon a-spooky-ar-app

This is a spooky ar app that can people's body invisible and add parts there.

aframe-ar icon aframe-ar

Basic A-Frame support for the new three.ar.js library and WebARonARKit / WebARonARCore browsers.

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

arev icon arev

Augmented Reality Embedding Visualization Utility

arl_training icon arl_training

The training resources for Penn State Augmented Reality Lab

aventurewanted icon aventurewanted

This is a 2d Roguelike Game designed for the final project of IST446 in Penn State University, 2015 Spring. The game engine we have chosen is Unity5, and the programming language used is C#.

bevformer icon bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

bevfusion icon bevfusion

BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

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