Anqi Yang

I'm a Ph.D. student at Carnegie Mellon University, advised by Prof. Aswin C. Sankaranarayanan. My thesis has been focused on pushing the frontier of mobile photography, by jointly design camera optics, sensor, and efficient deep restoration algorithms. I have won best paper award at ICCP in 2021 and Google Anita Borg Scholarship in 2016.

My research interest includes:

novel cameras design, such as under-display cameras

efficient deep learning for camera ISP and downstream tasks

extend the capability of photography using diffusion models

Prior to that, I obtained my M.S. degree from the Robotics Institute at CMU and my M.S. thesis was on 3D object detection, segmentation, and classfication for dense 3D volumes. I obtained my B.Eng. degree from School of Software Engineering at Tongji University, working with Prof. Lin Zhang.

I have spent wonderful summers as research interns at Google Labs, Samsung Research America, and University of Toronto.

Email / CV / Scholar

Research

	Fast Video Denoising with Uncalibrated Webcams Anqi Yang, Zhichao Yin, Rahul Garg, Xin Tong Under submission, 2024 paper coming soon Key words: Efficient deep learning, test-time adaptation, camera noise modeling A fast denoising framework that adapts off-the-shelf lightweight neural networks to denoise a wide variety of webcams at test time.
	Designing Phase Masks for Under-Display Cameras Anqi Yang, Eunhee Kang, Hyong-Euk Lee, Aswin C. Sankaranarayanan ICCV, 2023 project page / video / paper Key words: Under-display camera, diffractive optical elements, optimization Under-display cameras is an emerging type of camera that can image a scene through the openings of the display screens. This work proposes a novel design of diffractive optical elements that effectively renders the display screen invisible from the camera's perspective and keeps the display quality high at the same time.
	Designing Display Pixel Layouts for Under-Panel Cameras Anqi Yang, Aswin C. Sankaranarayanan TPAMI / ICCP, 2021 (Best Paper Award) paper / video / press Key words: Joint optimization of camera and image restoration algorithms, camera ISP, deep learning-based deblurring, hardware prototype, wave optics The opening patterns on the display plays a crucial role in determining diffractive blur in under-panel cameras. This work proposes a suite of modifications to the display opening patterns that significantly increases the imaging quality of UDCs.
	SliceNets --- A Scalable Approach for Object Detection in 3D CT Scans Anqi Yang, Feng Pan, Vishwanath Saragadam, Duy Dao, Zhuo Hui, Jen-Hao Chang, Aswin C. Sankaranarayanan WACV, 2021 paper / supp / video Key words: 3D object detection, segmentation, classification, leverage 2D to 3D This work addresses the challenging task of automated object detection in aviation screening with 3D computed tomography scans. We propose a slice-and-fuse framework, that slices 3D volumes into 2D slices, leverages efficient 2D detectors (e.g. RetinaNet), and fuse 2D predictions back to 3D.
	Pain Expression Recognition using Occluded Face Ahmed Ashraf, Anqi Yang, Babak Taati FG, 2019 (Best Poster Award) paper Key words: Facial landmarks, biometrics, machine learning for regression and classification This paper presents a preliminary study on automatic recognition of facial expression in ICU settings, where the patient face is partially occluded by surgery masks.
	Towards Contactless Palmprint Recognition: A Novel Device, A New Benchmark, and A Collaborative Representation Based Identification Approach Lin Zhang, Lida Li, Anqi Yang, Ying Shen, Meng Yang Pattern Recognition, 2017 project page / paper Key words: Biometric recognition, sparse representation, classification This paper presents a novel contacless palmprint acquisition system, a large-scale palmprint benchmark, as well as a novel machine learning-based palmprint classification algorithm.

Awards

ICCP Best Paper Award, 2021
Liang Ji-Dian Fellowship, 2022
Tan Endowed Graduate Fellowship, 2022
Google Anita Borg Memorial Scholarship, 2016

Miscellanea

Recitation TA, CMU-18290 Signals and Systems
Recitation TA, CMU-18793 Image and Video Processing
Reviewer for TPAMI, TIP, CVPR, ICCV, ECCV, BMVC, WACV

Last updated: Feb. 29, 2024.

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