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09/11/2023
An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
Nowadays, the versatile capabilities of Pre-trained Large Language Model...
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07/26/2023
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Transformer-based pretrained language models (PLMs) have achieved great ...
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06/21/2023
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Deep Neural Networks (DNNs) have significantly improved the accuracy of ...
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02/05/2023
See You Soon: Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
Reconstructing interacting hands from a single RGB image is a very chall...
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07/29/2022
Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
Temporal grounding aims to locate a target video moment that semanticall...
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06/17/2022
PICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices
Recent researches in artificial intelligence have proposed versatile con...
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07/19/2020
AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation
In this paper, we propose an adaptive weighting regression (AWR) method ...
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03/30/2020
Measuring Generalisation to Unseen Viewpoints, Articulations, Shapes and Objects for 3D Hand Pose Estimation under Hand-Object Interaction
In this work, we study how well different type of approaches generalise ...
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05/28/2019