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12/23/2021
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Current state-of-the-art deep learning based face recognition (FR) model...
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11/25/2021
A Dense Tensor Accelerator with Data Exchange Mesh for DNN and Vision Workloads
We propose a dense tensor accelerator called VectorMesh, a scalable, mem...
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06/19/2021
Interactive Object Segmentation with Dynamic Click Transform
In the interactive segmentation, users initially click on the target obj...
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06/14/2021
Hard Samples Rectification for Unsupervised Cross-domain Person Re-identification
Person re-identification (re-ID) has received great success with the sup...
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05/22/2021
Video-based Person Re-identification without Bells and Whistles
Video-based person re-identification (Re-ID) aims at matching the video ...
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12/03/2020
How to Exploit the Transferability of Learned Image Compression to Conventional Codecs
Lossy image compression is often limited by the simplicity of the chosen...
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10/12/2020
Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification
Vehicle re-identification (re-ID) matches images of the same vehicle acr...
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10/05/2020
Joint Pruning Quantization for Extremely Sparse Neural Networks
We investigate pruning and quantization for deep neural networks. Our go...
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10/02/2020
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification
Person re-identification (re-ID) requires one to match images of the sam...
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09/18/2020
GrateTile: Efficient Sparse Tensor Tiling for CNN Processing
We propose GrateTile, an efficient, hardwarefriendly data storage scheme...
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08/26/2020
Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network
Vehicle re-identification (re-ID) focuses on matching images of the same...
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11/07/2019
MERIT: Tensor Transform for Memory-Efficient Vision Processing on Parallel Architectures
Computationally intensive deep neural networks (DNNs) are well-suited to...
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10/19/2019
Utilising Low Complexity CNNs to Lift Non-Local Redundancies in Video Coding
Digital media is ubiquitous and produced in ever-growing quantities. Thi...
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08/05/2019
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification
Video-based person re-identification (Re-ID) aims at matching video sequ...
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05/31/2019
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques
Most recent studies on deep learning based speech enhancement (SE) focus...
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01/12/2018
Speech Dereverberation Based on Integrated Deep and Ensemble Learning Algorithm
Reverberation, which is generally caused by sound reflections from walls...
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01/12/2018
Speech Dereverberation Based on Integrated Deep and Ensemble Learning
Reverberation, which is generally caused by sound reflections from walls...
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05/30/2017
A Kernel Redundancy Removing Policy for Convolutional Neural Network
Deep Convolutional Neural Networks (CNN) have won a significant place in...
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02/01/2017
