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08/01/2023
VideoPro: A Visual Analytics Approach for Interactive Video Programming
Constructing supervised machine learning models for real-world video ana...
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07/01/2023
Variation-aware Vision Transformer Quantization
Despite the remarkable performance of Vision Transformers (ViTs) in vari...
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06/12/2023
Efficient Quantization-aware Training with Adaptive Coreset Selection
The expanding model size and computation of deep neural networks (DNNs) ...
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05/04/2022
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation
The purpose of federated learning is to enable multiple clients to joint...
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01/25/2021
Transferable Interactiveness Knowledge for Human-Object Interaction Detection
Human-Object Interaction (HOI) detection is an important problem to unde...
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04/02/2020
PaStaNet: Toward Human Activity Knowledge Engine
Existing image-based activity understanding methods mainly adopt direct ...
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11/18/2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations
Deep neural networks have achieved state-of-the-art performance on vario...
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04/13/2019
HAKE: Human Activity Knowledge Engine
Human activity understanding is crucial for building automatic intellige...
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11/20/2018