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Found 40 papers, 12 papers with code
Pinco: Position-induced Consistent Adapter for Diffusion Transformer in Foreground-conditioned Inpainting
Foreground-conditioned inpainting aims to seamlessly fill the background region of an image by utilizing the provided foreground subject and a text description.
Radar-based Measurement of the Body Movements of Multiple Students in Classroom Environments
We demonstrate the feasibility of the radar-based measurement of body movements in scenarios involving multiple students using a pair of 79-GHz millimeter-wave radar systems with array antennas.
Underload: Defending against Latency Attacks for Object Detectors on Edge Devices
Object detection is a fundamental enabler for many real-time downstream applications such as autonomous driving, augmented reality and supply chain management.
LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarks
Relying on promising watermark recovery accuracies, Deepfake detection is accomplished by assessing the consistency between the content-matched landmark perceptual watermark and the robustly recovered watermark of the suspect image.
Revisiting Video Quality Assessment from the Perspective of Generalization
We begin by analyzing the weight loss landscape of VQA models, identifying a strong correlation between this landscape and the generalization gaps.
Advancing Video Quality Assessment for AIGC
In recent years, AI generative models have made remarkable progress across various domains, including text generation, image generation, and video generation.
MFCLIP: Multi-modal Fine-grained CLIP for Generalizable Diffusion Face Forgery Detection
To address the limitations, we aim to leverage the cutting-edge foundation model, contrastive language-image pre-training (CLIP), to achieve generalizable diffusion face forgery detection (DFFD).
Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
Specifically, STCCR addresses the above challenges by employing self-supervision from "spatial topic" and "temporal intention" views, facilitating effective fusion of spatial and temporal information at the semantic level.
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
Snapshot Reinforcement Learning: Leveraging Prior Trajectories for Efficiency
Deep reinforcement learning (DRL) algorithms require substantial samples and computational resources to achieve higher performance, which restricts their practical application and poses challenges for further development.
GenFace: A Large-Scale Fine-Grained Face Forgery Benchmark and Cross Appearance-Edge Learning
In this paper, we propose a large-scale, diverse, and fine-grained high-fidelity dataset, namely GenFace, to facilitate the advancement of deepfake detection, which contains a large number of forgery faces generated by advanced generators such as the diffusion-based model and more detailed labels about the manipulation approaches and adopted generators.
Diffusion Facial Forgery Detection
In particular, this dataset leverages 30, 000 carefully collected textual and visual prompts, ensuring the synthesis of images with both high fidelity and semantic consistency.
Robust Identity Perceptual Watermark Against Deepfake Face Swapping
Falsification and source tracing are accomplished by justifying the consistency between the content-matched identity perceptual watermark and the recovered robust watermark from the image.
CTP-Net: Character Texture Perception Network for Document Image Forgery Localization
We design a Character Texture Stream (CTS) based on optical character recognition to capture features of text areas that are essential components of a document image.
Towards Generalizable Deepfake Detection by Primary Region Regularization
The existing deepfake detection methods have reached a bottleneck in generalizing to unseen forgeries and manipulation approaches.
A Similarity Alignment Model for Video Copy Segment Matching
We propose a Similarity Alignment Model(SAM) for video copy segment matching.
A Dual-level Detection Method for Video Copy Detection
With the development of multimedia technology, Video Copy Detection has been a crucial problem for social media platforms.
XAIR: A Framework of Explainable AI in Augmented Reality
The framework was based on a multi-disciplinary literature review of XAI and HCI research, a large-scale survey probing 500+ end-users' preferences for AR-based explanations, and three workshops with 12 experts collecting their insights about XAI design in AR.
Recursive deep learning framework for forecasting the decadal world economic outlook
Due to the diversity and complexity of the world economy, a wide range of models have been used, but there are challenges in making decadal GDP forecasts given unexpected changes such as emergence of catastrophic world events including pandemics and wars.
Metalearning generalizable dynamics from trajectories
We present the interpretable meta neural ordinary differential equation (iMODE) method to rapidly learn generalizable (i. e., not parameter-specific) dynamics from trajectories of multiple dynamical systems that vary in their physical parameters.
Deepfake Detection: A Comprehensive Survey from the Reliability Perspective
In this survey, we provide a thorough review of the existing Deepfake detection studies from the reliability perspective.
Deep Convolutional Pooling Transformer for Deepfake Detection
Most existing deep learning methods mainly focus on local features and relations within the face image using convolutional neural networks as a backbone.
Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages
The boll weevil (Anthonomus grandis L.) is a serious pest that primarily feeds on cotton plants.
Computer Vision for Volunteer Cotton Detection in a Corn Field with UAS Remote Sensing Imagery and Spot Spray Applications
To control boll weevil (Anthonomus grandis L.) pest re-infestation in cotton fields, the current practices of volunteer cotton (VC) (Gossypium hirsutum L.) plant detection in fields of rotation crops like corn (Zea mays L.) and sorghum (Sorghum bicolor L.) involve manual field scouting at the edges of fields.
Detecting Volunteer Cotton Plants in a Corn Field with Deep Learning on UAV Remote-Sensing Imagery
The two-fold objectives of this paper were : (i) to determine whether YOLOv3 can be used for VC detection in a corn field using RGB (red, green, and blue) aerial images collected by UAS and (ii) to investigate the behavior of YOLOv3 on images at three different scales (320 x 320, S1; 416 x 416, S2; and 512 x 512, S3 pixels) based on average precision (AP), mean average precision (mAP) and F1-score at 95% confidence level.
PVT-COV19D: Pyramid Vision Transformer for COVID-19 Diagnosis
A large number of experiments on the COV19-CT-DB dataset demonstrate the effectiveness of the proposed method.
Diverse Imitation Learning via Self-Organizing Generative Models
Imitation learning is the task of replicating expert policy from demonstrations, without access to a reward function.
HIT-UAV: A high-altitude infrared thermal dataset for Unmanned Aerial Vehicle-based object detection
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs).
Which side are you on? Insider-Outsider classification in conspiracy-theoretic social media
In these, an outside group threatens the integrity of an inside group, leading to the emergence of sharply defined group identities: Insiders -- agents with whom the authors identify and Outsiders -- agents who threaten the insiders.
Voice-Face Homogeneity Tells Deepfake
To this end, a voice-face matching method is devised to measure the matching degree of these two.
Realized GARCH, CBOE VIX, and the Volatility Risk Premium
The volatility shock endows the exponentially affine SDF with a compensation for volatility risk.
Diverse Imitation Learning via Self-OrganizingGenerative Models
To address this problem, we introduce a novel generative model for behavior cloning, in a mode-separating manner.
An Underwater Image Semantic Segmentation Method Focusing on Boundaries and a Real Underwater Scene Semantic Segmentation Dataset
Based on this dataset, we propose a semi-supervised underwater semantic segmentation network focusing on the boundaries(US-Net: Underwater Segmentation Network).
RepSum: Unsupervised Dialogue Summarization based on Replacement Strategy
In the field of dialogue summarization, due to the lack of training data, it is often difficult for supervised summary generation methods to learn vital information from dialogue context with limited data.
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting
Legal judgment prediction(LJP) is an essential task for legal AI.
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction
Motivated by this observation, we propose a novel \emph{CVR} prediction method by Hierarchically Modeling both Micro and Macro behaviors ($HM^3$).
Liquidation, Leverage and Optimal Margin in Bitcoin Futures Markets
Using the generalized extreme value theory to characterize tail distributions, we address liquidation, leverage, and optimal margins for bitcoin long and short futures positions.
Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines
To explore this critical issue of scalability, this paper first presents a simulation framework to evaluate the feasibility of large-scale DNNs based on CIM architecture and analog NVM.
Masking Orchestration: Multi-task Pretraining for Multi-role Dialogue Representation Learning
Multi-role dialogue understanding comprises a wide range of diverse tasks such as question answering, act classification, dialogue summarization etc.
Store Location Selection via Mining Search Query Logs of Baidu Maps
In this paper, we propose a Demand Distribution Driven Store Placement (D3SP) framework for business store placement by mining search query data from Baidu Maps.
