Search Results for author:
Found 7 papers, 2 papers with code
Deep Structured Reactive Planning
An intelligent agent operating in the real-world must balance achieving its goal with maintaining the safety and comfort of not only itself, but also other participants within the surrounding scene.
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models
Our model exploits spatio-temporal relationships across multiple LiDAR sweeps to reduce the bitrate of both geometry and intensity values.
Metaphor Detection Using Contextual Word Embeddings From Transformers
The detection of metaphors can provide valuable information about a given text and is crucial to sentiment analysis and machine translation.
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression
We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds.
DSIC: Deep Stereo Image Compression
In this paper we tackle the problem of stereo image compression, and leverage the fact that the two images have overlapping fields of view to further compress the representations.
Interactive 3D Modeling with a Generative Adversarial Network
This paper proposes the idea of using a generative adversarial network (GAN) to assist a novice user in designing real-world shapes with a simple interface.
