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08/14/2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning
Multimodal contrastive learning aims to train a general-purpose feature ...
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07/23/2023
Downstream-agnostic Adversarial Examples
Self-supervised learning usually uses a large amount of unlabeled data t...
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07/21/2023
Affective Affordance of Message Balloon Animations: An Early Exploration of AniBalloons
We introduce the preliminary exploration of AniBalloons, a novel form of...
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08/08/2022
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration
For medical image analysis, segmentation models trained on one or severa...
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07/01/2022
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Due to its powerful feature learning capability and high efficiency, dee...
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06/07/2022
Neural Network Compression via Effective Filter Analysis and Hierarchical Pruning
Network compression is crucial to making the deep networks to be more ef...
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12/27/2021
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
Emoticons are indispensable in online communications. With users' growin...
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12/21/2021
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization
For medical image segmentation, imagine if a model was only trained usin...
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08/27/2021
Binocular Mutual Learning for Improving Few-shot Classification
Most of the few-shot learning methods learn to transfer knowledge from d...
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04/22/2021
So-ViT: Mind Visual Tokens for Vision Transformer
Recently the vision transformer (ViT) architecture, where the backbone p...
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02/03/2021
InfoColorizer: Interactive Recommendation of Color Palettes for Infographics
When designing infographics, general users usually struggle with getting...
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09/16/2019
TAAL: Tampering Attack on Any Key-based Logic Locked Circuits
Due to the globalization of semiconductor manufacturing and test process...
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11/19/2018
Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection
The existing still-static deep learning based saliency researches do not...
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09/21/2018
SG-FCN: A Motion and Memory-Based Deep Learning Model for Video Saliency Detection
Data-driven saliency detection has attracted strong interest as a result...
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12/03/2017