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08/19/2023
Recap: Detecting Deepfake Video with Unpredictable Tampered Traces via Recovering Faces and Mapping Recovered Faces
The exploitation of Deepfake techniques for malicious intentions has dri...
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06/23/2023
WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
The examination of blood samples at a microscopic level plays a fundamen...
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03/03/2023
Benchmarking White Blood Cell Classification Under Domain Shift
Recognizing the types of white blood cells (WBCs) in microscopic images ...
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03/03/2023
Mover: Mask and Recovery based Facial Part Consistency Aware Method for Deepfake Video Detection
Deepfake techniques have been widely used for malicious purposes, prompt...
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08/15/2022
Action Recognition based on Cross-Situational Action-object Statistics
Machine learning models of visual action recognition are typically train...
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05/31/2022
Novel View Synthesis for High-fidelity Headshot Scenes
Rendering scenes with a high-quality human face from arbitrary viewpoint...
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04/22/2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition
One-shot fine-grained visual recognition often suffers from the problem ...
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10/04/2021
How You Move Your Head Tells What You Do: Self-supervised Video Representation Learning with Egocentric Cameras and IMU Sensors
Understanding users' activities from head-mounted cameras is a fundament...
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06/12/2021
Reverse-engineer the Distributional Structure of Infant Egocentric Views for Training Generalizable Image Classifiers
We analyze egocentric views of attended objects from infants. This paper...
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11/17/2020
Whose hand is this? Person Identification from Egocentric Hand Gestures
Recognizing people by faces and other biometrics has been extensively st...
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06/04/2020
A Computational Model of Early Word Learning from the Infant's Point of View
Human infants have the remarkable ability to learn the associations betw...
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11/17/2019
Meta-Reinforced Synthetic Data for One-Shot Fine-Grained Visual Recognition
One-shot fine-grained visual recognition often suffers from the problem ...
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06/04/2019
Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study
Inspired by the remarkable ability of the infant visual learning system,...
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09/07/2018
edge2vec: Learning Node Representation Using Edge Semantics
Representation learning for networks provides a new way to mine graphs. ...
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06/01/2018
APNet: Semantic Segmentation for Pelvic MR Image
One of the time-consuming routine work for a radiologist is to discern a...
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11/16/2017
Superpixel clustering with deep features for unsupervised road segmentation
Vision-based autonomous driving requires classifying each pixel as corre...
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06/20/2017
Using Artificial Tokens to Control Languages for Multilingual Image Caption Generation
Recent work in computer vision has yielded impressive results in automat...
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03/15/2017