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04/16/2023
EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation
Estimating the depths of equirectangular (360) images (EIs) is challengi...
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09/22/2021
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised Learning
Due to difficulties in acquiring ground truth depth of equirectangular (...
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06/15/2021
ShortcutFusion: From Tensorflow to FPGA-based accelerator with reuse-aware memory allocation for shortcut data
Residual block is a very common component in recent state-of-the art CNN...
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03/30/2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active learning aims to reduce labeling costs by selecting only the most...
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02/15/2021
GradPIM: A Practical Processing-in-DRAM Architecture for Gradient Descent
In this paper, we present GradPIM, a processing-in-memory architecture w...
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11/01/2020
Mitigating Write Disturbance Errors of Phase-Change Memory as In-Module Approach
With the growing demand for technology scaling and storage capacity in s...
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09/03/2020
Layer-specific Optimization for Mixed Data Flow with Mixed Precision in FPGA Design for CNN-based Object Detectors
Convolutional neural networks (CNNs) require both intensive computation ...
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04/09/2019
