YuXuan (Andrew) Liu
I am a PhD student in CS at UC Berkeley in Pieter Abbeel's lab. Previously, I was a Masters and undergraduate student at Berkeley also in Pieter's lab in BAIR. Currently I am at covariant.ai.
Self-Supervised Instance Segmentation by Grasping
YuXuan Liu, Xi Chen, and Pieter Abbeel
Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
YuXuan Liu, Nikhil Mishra, Pieter Abbeel, and Xi Chen
In the International Conference on Robotics and Automation (ICRA), 2023
[pdf] [arxiv] [dataset] [code]
Autoregressive Uncertainty Modeling for 3D Bounding Box Prediction
YuXuan Liu, Nikhil Mishra, Maximilian Sieb, Yide Shentu, Pieter Abbeel, and Xi Chen
In the European Conference on Computer Vision (ECCV), 2022
[pdf] [arxiv] [dataset] [code] [blog]
Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
John D. Co-Reyes*, YuXuan Liu*, Abhishek Gupta*, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine
In the International Conference on Machine Learning (ICML), 2018
[pdf] [arxiv] [video] [code]
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine
In the Advances in Neural Information Processing Systems (NeurIPS), 2018
[pdf] [arxiv] [code]
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu*, Abhishek Gupta*, Pieter Abbeel, Sergey Levine
In the International Conference on Robotics and Automation (ICRA), 2018
[pdf] [arxiv] [video] [code]
Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning
Abhishek Gupta*, Coline Devin*, YuXuan Liu, Pieter Abbeel, Sergey Levine
In the International Conference on Learning Representations (ICLR), 2017
[pdf] [arxiv] [video]
Robo Call Screener - Phone AIFilter robocalls from humans with live transcription and responses at your fingertips
- Have our robot answer your robocalls so you don't have to
- Screen humans from robots without having to pick up the phone
- Live transcription and text responses give you the flexibility to respond when you can't talk
Temporal Convolutional Policy Networks [pdf]
We show that temporal convolutional policies can be effective for partially observed tasks including classical control and pong.
We designed an audio transmission protocol to send messages, links, and pictures using the Fast-Fourier Transform.
First gesture-based keyboard for iOS using a dynamic programming algorithm to match words with vector angle differences
We learn EEG states to encode brain activity and transmit messages using Huffman encoding.
Powerful iOS theming platform with interactive widgets, custom script parser, and over 11 million downloads in Cydia.
We built an iOS fitness tracker that collects real-time motion data and classifies activities using dynamic time warping.
We learn handwriting styles with a neural network and built an authentication platform based on handwriting.
We automatically generate Instagram tags using image classification and real-time Instagram data.
We trained an image captioning model to generate meme captions conditioned on input images.
We applied speech recognition on lecture videos to match lectures with corresponding textbook material using tf-idf.
We trained a ranking system on housing preferences to filter listings on Craigslist.
We implemented a pose classification algorithm with the Kinect for learning Yoga.
Minecraft clone in Java OpenGL with physics simulation, water flood fill, and perlin noise random map generation.
We built a real-time facial detection and recognition system that can identify people you are looking at.
We hacked a Roomba to follow you with real-time face detection.
We built a smartwatch app that alerts you when your phone is out of a certain range.