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08/03/2023
Contrastive Multi-FaceForensics: An End-to-end Bi-grained Contrastive Learning Approach for Multi-face Forgery Detection
DeepFakes have raised serious societal concerns, leading to a great surg...
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07/27/2023
FakeTracer: Proactively Defending Against Face-swap DeepFakes via Implanting Traces in Training
Face-swap DeepFake is an emerging AI-based face forgery technique that c...
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05/07/2022
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks
Convolutional neural networks are prevailing in deep learning tasks. How...
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04/18/2022
CenterNet++ for Object Detection
There are two mainstreams for object detection: top-down and bottom-up. ...
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04/11/2021
Location-Sensitive Visual Recognition with Cross-IOU Loss
Object detection, instance segmentation, and pose estimation are popular...
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03/02/2021
DeepFake-o-meter: An Open Platform for DeepFake Detection
In recent years, the advent of deep learning-based techniques and the si...
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02/01/2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction
The recent development of Deep Neural Networks (DNN) has significantly i...
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10/31/2020
LandmarkGAN: Synthesizing Faces from Landmarks
Face synthesis is an important problem in computer vision with many appl...
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07/27/2020
Corner Proposal Network for Anchor-free, Two-stage Object Detection
The goal of object detection is to determine the class and location of o...
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09/27/2019
Celeb-DF: A New Dataset for DeepFake Forensics
AI-synthesized face swapping videos, commonly known as the DeepFakes, ha...
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04/17/2019
CenterNet: Keypoint Triplets for Object Detection
In object detection, keypoint-based approaches often suffer a large numb...
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04/17/2019
CenterNet: Object Detection with Keypoint Triplets
In object detection, keypoint-based approaches often suffer a large numb...
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03/30/2019
Exposing GAN-synthesized Faces Using Landmark Locations
Generative adversary networks (GANs) have recently led to highly realist...
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01/26/2019
See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Classification
Data augmentation is usually adopted to increase the amount of training ...
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08/06/2018
Weakly Supervised Local Attention Network for Fine-Grained Visual Classification
In the fine-grained visual classification task, objects usually share si...
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08/05/2018
Multi-Scale Supervised Network for Human Pose Estimation
Human pose estimation is an important topic in computer vision with many...
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03/27/2018
Multi-Scale Structure-Aware Network for Human Pose Estimation
We develop a robust multi-scale structure-aware neural network for human...
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03/18/2018
Facial Landmarks Detection by Self-Iterative Regression based Landmarks-Attention Network
Cascaded Regression (CR) based methods have been proposed to solve facia...
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06/13/2017
Contrast Enhancement Estimation for Digital Image Forensics
Inconsistency in contrast enhancement can be used to expose image forger...
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03/18/2016
Geometric Hypergraph Learning for Visual Tracking
Graph based representation is widely used in visual tracking field by fi...
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11/13/2015