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08/15/2023
LogPrompt: Prompt Engineering Towards Zero-Shot and Interpretable Log Analysis
Automated log analysis is crucial in modern software-intensive systems f...
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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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02/02/2023
Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning
3D hand pose estimation has made significant progress in recent years. H...
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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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02/01/2022
Approximation of Images via Generalized Higher Order Singular Value Decomposition over Finite-dimensional Commutative Semisimple Algebra
Low-rank approximation of images via singular value decomposition is wel...
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07/06/2021
CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference
A compact, accurate, and bitwidth-programmable in-memory computing (IMC)...
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11/05/2020
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction
Video anomaly detection is commonly used in many applications such as se...
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10/13/2020
High Area/Energy Efficiency RRAM CNN Accelerator with Kernel-Reordering Weight Mapping Scheme Based on Pattern Pruning
Resistive Random Access Memory (RRAM) is an emerging device for processi...
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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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05/28/2019
OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks
Channel pruning can significantly accelerate and compress deep neural ne...
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11/07/2016
