spatial-intention-maps Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, Thomas Funkhouser IEEE International Conference on Robotics and Automation (ICRA), 2021 Abstract: The ability to communicate intention enables decentralized multi-agent robots to collaborate while performing physical tasks. In this work, we present spatial intention maps, a new intention representation for multi-agent vision-based deep reinforcement learning that improves coordination between decentralized mobile manipulators. In this representation, each agent’s intention is provided to other agents, and rendered into an overhead 2D […]

Random Face A simple python library for fast image generation of people who do not exist. Requirements Linux, Windows, MacOS Python 3.8+ CPU compatible with OpenVINO. Install package pip install random_face Install the latest version git clone https://github.com/bes-dev/random_face.git cd random_face pip install -r requirements.txt python download_model.py pip install . Demo python -m random_face.demo Example import cv2 import random_face engine = random_face.get_engine() face = engine.get_random_face() cv2.imshow(“face”, face) cv2.waitKey() Citation @misc{belousov2021mobilestylegan, title={MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis}, author={Sergei […]

QPIC Repo for CVPR2021 paper “QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information” by Masato Tamura, Hiroki Ohashi, and Tomoaki Yoshinaga. QPIC is implemented by extending the recently proposed object detector, DETR. QPIC leverages the query-based detection and attention mechanism in the transformer, and as a result, achieves high HOI detection performance with simple detection heads. Example attention maps. Preparation Dependencies Our implementation uses external libraries such as NumPy and PyTorch. You can resolve the dependencies with the […]