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03/24/2023
GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning
Image-based Virtual Try-ON aims to transfer an in-shop garment onto a sp...
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01/31/2023
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning
Multi-task learning (MTL) aims at solving multiple related tasks simulta...
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07/27/2022
PASTA-GAN++: A Versatile Framework for High-Resolution Unpaired Virtual Try-on
Image-based virtual try-on is one of the most promising applications of ...
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07/19/2022
SphereFed: Hyperspherical Federated Learning
Federated Learning aims at training a global model from multiple decentr...
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07/01/2022
DRESS: Dynamic REal-time Sparse Subnets
The limited and dynamically varied resources on edge devices motivate us...
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04/10/2022
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems
We design deep neural networks (DNNs) and corresponding networks' splitt...
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03/29/2022
Dressing in the Wild by Watching Dance Videos
While significant progress has been made in garment transfer, one of the...
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09/18/2021
Fast query-by-example speech search using separable model
Traditional Query-by-Example (QbE) speech search approaches usually use ...
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07/13/2021
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Understanding the behavior and vulnerability of pre-trained deep neural ...
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06/13/2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Spiking Neural Network (SNN) has been recognized as one of the next gene...
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04/23/2021
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy
Detecting out-of-distribution (OOD) and adversarial samples is essential...
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03/17/2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Network quantization has rapidly become one of the most widely used meth...
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01/29/2020
ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs
A number of cross-lingual transfer learning approaches based on neural n...
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12/18/2019
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation
Recently, recommender systems have been able to emit substantially impro...
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12/04/2019
RTN: Reparameterized Ternary Network
To deploy deep neural networks on resource-limited devices, quantization...
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10/09/2019
Design, Modelling and Validation of a Novel Extra Slender Continuum Robot for In-situ Inspection and Repair in Aeroengine
In-situ aeroengine maintenance works are highly beneficial as it can sig...
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09/28/2019
Additive Powers-of-Two Quantization: A Non-uniform Discretization for Neural Networks
We proposed Additive Powers-of-Two (APoT) quantization, an efficient non...
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05/01/2019
Full-stack Optimization for Accelerating CNNs with FPGA Validation
We present a full-stack optimization framework for accelerating inferenc...
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12/11/2018
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
To reduce memory footprint and run-time latency, techniques such as neur...
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11/24/2018
What and Where: A Context-based Recommendation System for Object Insertion
In this work, we propose a novel topic consisting of two dual tasks: 1) ...
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06/20/2018
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
Binary neural networks (BNN) have been studied extensively since they ru...
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03/28/2018
Pose2Seg: Human Instance Segmentation Without Detection
The general method of image instance segmentation is to perform the obje...
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05/22/2017