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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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04/22/2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations
Adversarial attacks aim to disturb the functionality of a target system ...
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04/06/2023
RoSteALS: Robust Steganography using Autoencoder Latent Space
Data hiding such as steganography and invisible watermarking has importa...
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03/29/2023
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
Existing instance segmentation models learn task-specific information us...
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03/17/2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Text-to-image (T2I) models based on diffusion processes have achieved re...
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03/16/2023
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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02/01/2023
Learning Prototype Classifiers for Long-Tailed Recognition
The problem of long-tailed recognition (LTR) has received attention in r...
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01/06/2023
Model-Agnostic Hierarchical Attention for 3D Object Detection
Transformers as versatile network architectures have recently seen great...
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12/17/2022
Unsupervised Dense Retrieval Deserves Better Positive Pairs: Scalable Augmentation with Query Extraction and Generation
Dense retrievers have made significant strides in obtaining state-of-the...
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10/10/2022
SimSCOOD: Systematic Analysis of Out-of-Distribution Behavior of Source Code Models
While large code datasets have become available in recent years, acquiri...
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08/05/2022
Keys to Better Image Inpainting: Structure and Texture Go Hand in Hand
Deep image inpainting has made impressive progress with recent advances ...
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07/12/2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
As a long-term threat to the privacy of training data, membership infere...
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07/05/2022
RepMix: Representation Mixing for Robust Attribution of Synthesized Images
Rapid advances in Generative Adversarial Networks (GANs) raise new chall...
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05/29/2021
Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
The rapid advances in deep generative models over the past years have le...
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03/28/2021
KNN, An Underestimated Model for Regional Rainfall Forecasting
Regional rainfall forecasting is an important issue in hydrology and met...
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01/26/2021
Deep Video Inpainting Detection
This paper studies video inpainting detection, which localizes an inpain...
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12/16/2020
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Over the past six years, deep generative models have achieved a qualitat...
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11/28/2020
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs
While Generative Adversarial Networks (GANs) show increasing performance...
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07/16/2020
Artificial GAN Fingerprints: Rooting Deepfake Attribution in Training Data
Photorealistic image generation is progressing rapidly and has reached a...
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04/07/2020
Long-Tailed Recognition Using Class-Balanced Experts
Classic deep learning methods achieve impressive results in image recogn...
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04/07/2020
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Generative Adversarial Networks (GANs) have brought about rapid progress...
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01/26/2020
AI-Powered GUI Attack and Its Defensive Methods
Since the first Graphical User Interface (GUI) prototype was invented in...
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09/09/2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs
In recent years, the success of deep learning has carried over from disc...
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01/11/2019
Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture
This paper addresses the problem of interpolating visual textures. We fo...
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11/20/2018
Attributing Fake Images to GANs: Analyzing Fingerprints in Generated Images
Research in computer graphics has been in pursuit of realistic image gen...
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11/20/2018
Learning GAN fingerprints towards Image Attribution
Recent advances in Generative Adversarial Networks (GANs) have shown inc...
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11/22/2017
Three-Stream Convolutional Networks for Video-based Person Re-Identification
This paper aims to develop a new architecture that can make full use of ...
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10/08/2017
Reconstruction of Hidden Representation for Robust Feature Extraction
This paper aims to develop a new and robust approach to feature represen...
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12/06/2016