Dongqing Wang 王冬青

I am a PhD student at the Image and Visual Representation Lab, part of the School of Computer and Communication Sciences at EPFL, Switzerland. My PhD advisor is Prof. Sabine Süsstrunk.

I received my Bachelor of Science degree in Computer Science with a minor in Music, as well as my Master of Engineering degree from Cornell University, where I was supervised by Prof. Steve Marschner.

Please feel free to reach out to me via email for research collaborations. For EPFL master's and bachelor's students interested in doing a semester project with me, a list of potential ideas can be found on our lab website.

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• [Aug, 2023] NEMTO has been selected for a 🌟spotlight🌟 presentation at the ICCV23 - TRICKY Workshop.

• [July, 2023] Our paper NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects has been accepted to ICCV 2023! See you in Paris.

I'm interested in Computer Graphics, 3D Computer Vision and Machine Learning.

InpaintNeRF-360 allows removing or editing of objects within an unbounded 360 degree NeRF through 2D image processing tools guided by 3D priors.

A neural representation for a 3D transparent object that disentangles its geometry and illumination-dependent appearance.

During my undergraduate studies at Cornell, I've been involved in many interesting projects from music visualization to on-skin interface development.

Implemented 1. a C++ based Ray Tracer and Rasterizer that include camera system, point, ambient and area light, etc. 2. a C++ based Rasterizer that implemented both forward and deferred shading, sun-sky model with bloom effect as well as ambient occlusion for light source.

A fractal music visualizer that allows you to upload your favorite song (mp3, m4a, wav, aiff, or flac) and creates a bedazzling fractal visualization of the song for you.

A multimodal Asynchronous Actor Critic Network to allow a low DOF robot to react to the received human emotional signals, e.g, happy, sad, fear and anger.

This work is based on Blossom: A Handcrafted Soft Social Robot developed in Professor Hoffman's Human-Robot Collaboration & Companionship Lab.

Worked on the electronics and software control, detecting user gestures and hand movements as well as tempreture changes of WovenSkin, a fabrication process to create customized functional devices that can be attached directly on human skin.

A device dedicated for everyone with or without a perfect hearing to create and enjoy music in various colorful ways.

More or less random stuff.

This image is based on a hand-drawn illustration showing an object with both viewing direction and light source by Professor Marschner in CS5625.

I found myself constantly confused during research, thus this image.

Kudos to Dr. Jon Borron for this website template.