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20192026
most citedPlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

27 citations · 75 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024★ 3 cited

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks

Miguel Espinosa, Chenhongyi Yang, Linus Ericsson +2

The Segment Anything Model (SAM) was originally designed for label-agnostic mask generation. Does this model also possess inherent semantic understanding, of value to broader visua…

cs.LG2024

einspace: Searching for Neural Architectures from Fundamental Operations

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang +5

Neural architecture search (NAS) finds high performing networks for a given task. Yet the results of NAS are fairly prosaic; they did not e.g. create a shift from convolutional str…

cs.CV2024

EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali +3

We present EgoPoseFormer, a simple yet effective transformer-based model for stereo egocentric human pose estimation. The main challenge in egocentric pose estimation is overcoming…

cs.CV2024★ 27 cited

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition

Chenhongyi Yang, Zehui Chen, Miguel Espinosa +4

We present PlainMamba: a simple non-hierarchical state space model (SSM) designed for general visual recognition. The recent Mamba model has shown how SSMs can be highly competitiv…

cs.CV2024

WidthFormer: Toward Efficient Transformer-based BEV View Transformation

Chenhongyi Yang, Tianwei Lin, Lichao Huang +1

We present WidthFormer, a novel transformer-based module to compute Bird's-Eye-View (BEV) representations from multi-view cameras for real-time autonomous-driving applications. Wid…