Trending Research
OLAE-ICP: Robust and fast alignment of geometric features with the optimal linear attitude estimator
The problems of point-cloud registration and attitude estimation from vector observations (Wahba's problem) have widespread applications in computer vision and mobile robotics.
Robotics
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they mature.
Distributed, Parallel, and Cluster Computing
A lightweight design for serverless Function-as-a-Service
FaaS (Function as a Service) allows developers to upload and execute code in the cloud without managing servers.
Distributed, Parallel, and Cluster Computing
bpftime: userspace eBPF Runtime for Uprobe, Syscall and Kernel-User Interactions
Through bpftime, we not only enhance uprobe performance but also extend the versatility and user-friendliness of eBPF runtime in user space, paving the way for more efficient and secure kernel operations.
Operating Systems
Online Estimation of Articulated Objects with Factor Graphs using Vision and Proprioceptive Sensing
We implemented our system on a real robot and performed several autonomous closed-loop experiments in which the robot had to open a door with unknown joint while estimating the articulation online.
Robotics
Wrangling Messy CSV Files by Detecting Row and Type Patterns
Existing dialect detection approaches are few and non-robust.
Databases E.5; H.2.8
Sparks of Large Audio Models: A Survey and Outlook
This survey paper provides a comprehensive overview of the recent advancements and challenges in applying large language models to the field of audio signal processing.
Sound Audio and Speech Processing
ICLR 2022 Challenge for Computational Geometry and Topology: Design and Results
This paper presents the computational challenge on differential geometry and topology that was hosted within the ICLR 2022 workshop ``Geometric and Topological Representation Learning".
Computational Geometry
HOPPER: Interpretative Fuzzing for Libraries
Most of these fuzz drivers are crafted manually by developers, and their quality depends on the developers' understanding of the code.
Cryptography and Security
HiFi-Codec: Group-residual Vector quantization for High Fidelity Audio Codec
lucidrains/vector-quantize-pytorch
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Despite their usefulness, two challenges persist: (1) training these audio codec models can be difficult due to the lack of publicly available training processes and the need for large-scale data and GPUs; (2) achieving good reconstruction performance requires many codebooks, which increases the burden on generation models.
Sound Audio and Speech Processing
