Daniel Khalil

I'm an undergraduate at Caltech, working in the Vision Lab.

At Google I've worked on Glass, Lens Blur, HDR+, VR, Portrait Mode, Portrait Light, and Maps. I did my PhD at UC Berkeley, where I was advised by Jitendra Malik. I've received the PAMI Young Researcher Award.

Research

I'm interested in computer vision, unsupervsied learning, reinforcement learning, and other stuff. Representative papers are highlighted.

B-KinD-Multi: Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision
Daniel Khalil, Christina Liu, Pietro Perona, Jennifer Sun, Markus Marks
WACV, 2025
project page / video / arXiv

Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision.

Here are some projects. Representative papers are highlighted.

PyTorch implementations of several different classifiers for chest X-ray images, based on the multi-class and multi-label CheXpert dataset.

	Area Chair, CVPR 2024 Demo Chair, CVPR 2023 Area Chair, CVPR 2022 Area Chair & Award Committee Member, CVPR 2021 Area Chair, CVPR 2019 Area Chair, CVPR 2018
	TA, CS38 (Algorithms) Spring 2024 TA, CS156a (Machine Learning) Fall 2024

Website from John Barron.