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Seamless GPU acceleration for C++ based physics with the Metal Shading Language on Apple's M series unified chips
In this work, we show how the M series chips can be leveraged using the Metal Shading Language (MSL) to accelerate typical array operations in C++.
Computational Physics Geophysics
Rapid Trajectory Optimization Using C-FROST with Illustration on a Cassie-Series Dynamic Walking Biped
One of the big attractions of low-dimensional models for gait design has been the ability to compute solutions rapidly, whereas one of their drawbacks has been the difficulty in mapping the solutions back to the target robot.
Robotics Systems and Control
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
We present SegFormer, a simple, efficient yet powerful semantic segmentation framework which unifies Transformers with lightweight multilayer perception (MLP) decoders.
Ranked #1 on
Semantic Segmentation
on COCO-Stuff full
MediaPipe: A Framework for Building Perception Pipelines
A developer can use MediaPipe to build prototypes by combining existing perception components, to advance them to polished cross-platform applications and measure system performance and resource consumption on target platforms.
Distributed, Parallel, and Cluster Computing
YOLOv10: Real-Time End-to-End Object Detection
In this work, we aim to further advance the performance-efficiency boundary of YOLOs from both the post-processing and model architecture.
Ranked #23 on
Real-Time Object Detection
on MS COCO
GhostNets on Heterogeneous Devices via Cheap Operations
The proposed C-Ghost module can be taken as a plug-and-play component to upgrade existing convolutional neural networks.
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca
While several large language models, such as LLaMA, have been open-sourced by the community, these predominantly focus on English corpora, limiting their usefulness for other languages.
OpenChat: Advancing Open-source Language Models with Mixed-Quality Data
Specifically, we consider the general SFT training data, consisting of a small amount of expert data mixed with a large proportion of sub-optimal data, without any preference labels.
Ranked #81 on
Arithmetic Reasoning
on GSM8K
Knowledge Enhanced Conditional Imputation for Healthcare Time-series
We introduce the Conditional Self-Attention Imputation (CSAI), a novel recurrent neural network architecture designed to address the challenges of complex missing data patterns in multivariate time series derived from hospital electronic health records (EHRs).
