chenfengxu714
Incoming Assistant Professor at UT Austin CS, Ph.D at UC Berkeley, Researcher at Together. AI
MSC Lab, SqueezeAI Lab, BAIR, UTCSUnited States
Pinned Repositories
AgentFormer
Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
bairblog.github.io
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
image2point
Official implementation of Image2Point.
PreTraM
Official implementation of PreTraM
Robot-mask-Labeling-tool
SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
SqueezeSegV3
StreamDiffusionV2
StreamDiffusion, Live Stream APP
YOGO
Official implementation of YOGO for point-cloud processing
chenfengxu714's Repositories
chenfengxu714/SqueezeSegV3
chenfengxu714/image2point
Official implementation of Image2Point.
chenfengxu714/StreamDiffusionV2
StreamDiffusion, Live Stream APP
chenfengxu714/YOGO
Official implementation of YOGO for point-cloud processing
chenfengxu714/PreTraM
Official implementation of PreTraM
chenfengxu714/Robot-mask-Labeling-tool
chenfengxu714/SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
chenfengxu714/AgentFormer
Official PyTorch Implementation of "AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting".
chenfengxu714/bairblog.github.io
chenfengxu714/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
chenfengxu714/diffusers-robotic-inpainting
chenfengxu714/latte
chenfengxu714/MinkowskiEngine
Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors
chenfengxu714/NeRF-Det
[ICCV 2023] Code for NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection
chenfengxu714/open_source_projects
Open Source Projects from Pallas Lab
chenfengxu714/SqueezeWave
chenfengxu714/nerfdet
chenfengxu714/Trajectron-plus-plus
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).