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07/18/2023
Soft-IntroVAE for Continuous Latent space Image Super-Resolution
Continuous image super-resolution (SR) recently receives a lot of attent...
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07/18/2023
Arbitrary point cloud upsampling via Dual Back-Projection Network
Point clouds acquired from 3D sensors are usually sparse and noisy. Poin...
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03/08/2023
RAF: Holistic Compilation for Deep Learning Model Training
As deep learning is pervasive in modern applications, many deep learning...
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06/11/2022
DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting
Time-series forecasting plays an important role in many real-world scena...
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09/18/2021
Complex Temporal Question Answering on Knowledge Graphs
Question answering over knowledge graphs (KG-QA) is a vital topic in IR....
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03/29/2021
Learning Domain Invariant Representations for Generalizable Person Re-Identification
Generalizable person Re-Identification (ReID) has attracted growing atte...
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01/20/2021
Focal and Efficient IOU Loss for Accurate Bounding Box Regression
In object detection, bounding box regression (BBR) is a crucial step tha...
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08/09/2019
TEQUILA: Temporal Question Answering over Knowledge Bases
Question answering over knowledge bases (KB-QA) poses challenges in hand...
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10/18/2018
Data Motif-based Proxy Benchmarks for Big Data and AI Workloads
For the architecture community, reasonable simulation time is a strong r...
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09/20/2018
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
Winograd-based convolution has quickly gained traction as a preferred ap...
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02/01/2018
Big Data Dwarfs: Towards Fully Understanding Big Data Analytics Workloads
Though the big data benchmark suites like BigDataBench and CloudSuite ha...
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11/09/2017