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Found 26 papers, 9 papers with code
GPAvatar: Generalizable and Precise Head Avatar from Image(s)
Head avatar reconstruction, crucial for applications in virtual reality, online meetings, gaming, and film industries, has garnered substantial attention within the computer vision community.
DiffSHEG: A Diffusion-Based Approach for Real-Time Speech-driven Holistic 3D Expression and Gesture Generation
We propose DiffSHEG, a Diffusion-based approach for Speech-driven Holistic 3D Expression and Gesture generation with arbitrary length.
A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing
This paper presents a video inversion approach for zero-shot video editing, which aims to model the input video with low-rank representation during the inversion process.
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning
Over the past few years, graph neural networks (GNNs) have become powerful and practical tools for learning on (static) graph-structure data.
Visibility Enhancement for Low-light Hazy Scenarios
The simulation is designed for generating the dataset with ground-truths by the proposed low-light hazy imaging model.
MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions
Audio-driven portrait animation aims to synthesize portrait videos that are conditioned by given audio.
Audio-Driven 3D Facial Animation from In-the-Wild Videos
Consequently, their generalization capability remains limited.
Accurate 3D Face Reconstruction with Facial Component Tokens
However, the current deep learning-based methods face significant challenges in achieving accurate reconstruction with disentangled facial parameters and ensuring temporal stability in single-frame methods for 3D face tracking on video data.
Jitter Does Matter: Adapting Gaze Estimation to New Domains
We evaluate the proposed method on four cross-domain gaze estimation tasks, and experimental results demonstrate that it significantly reduces the gaze jitter and improves the gaze estimation performance in target domains.
Discriminative feature encoding for intrinsic image decomposition
Intrinsic image decomposition is an important and long-standing computer vision problem.
Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables
The goal of single-step retrosynthesis is to identify the possible reactants that lead to the synthesis of the target product in one reaction.
GazeOnce: Real-Time Multi-Person Gaze Estimation
In this paper, we propose the first one-stage end-to-end gaze estimation method, GazeOnce, which is capable of simultaneously predicting gaze directions for multiple faces (>10) in an image.
Generalizing Gaze Estimation With Rotation Consistency
Consequently, we propose the Rotation-enhanced Unsupervised Domain Adaptation (RUDA) for gaze estimation.
Cloud Sphere: A 3D Shape Representation via Progressive Deformation
In the area of 3D shape analysis, the geometric properties of a shape have long been studied.
Separating Content and Style for Unsupervised Image-to-Image Translation
Unsupervised image-to-image translation aims to learn the mapping between two visual domains with unpaired samples.
Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation
Deep neural networks have significantly improved appearance-based gaze estimation accuracy.
Vulnerability of Appearance-based Gaze Estimation
However, many deep learning-based methods suffer from the vulnerability property, i. e., perturbing the raw image using noise confuses the gaze estimation models.
Unsupervised Two-Stage Anomaly Detection
Anomaly detection from a single image is challenging since anomaly data is always rare and can be with highly unpredictable types.
Ranked #19 on
Anomaly Detection
on One-class CIFAR-10
Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets
Meanwhile, we also propose Adaptive Group Normalization to recalibrate eye features with the guidance of facial feature.
Improving Knowledge Tracing via Pre-training Question Embeddings
Knowledge tracing (KT) defines the task of predicting whether students can correctly answer questions based on their historical response.
Ranked #3 on
Knowledge Tracing
on EdNet
GIKT: A Graph-based Interaction Model for Knowledge Tracing
With the rapid development in online education, knowledge tracing (KT) has become a fundamental problem which traces students' knowledge status and predicts their performance on new questions.
Ranked #7 on
Knowledge Tracing
on EdNet
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
A backdoor attack installs a backdoor into the victim model by injecting a backdoor pattern into a small proportion of the training data.
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Intrinsic image decomposition, which is an essential task in computer vision, aims to infer the reflectance and shading of the scene.
Semantic Guided Single Image Reflection Removal
Reflection is common in images capturing scenes behind a glass window, which is not only a disturbance visually but also influence the performance of other computer vision algorithms.
Separate In Latent Space: Unsupervised Single Image Layer Separation
Many real world vision tasks, such as reflection removal from a transparent surface and intrinsic image decomposition, can be modeled as single image layer separation.
What I See Is What You See: Joint Attention Learning for First and Third Person Video Co-analysis
However, techniques for analyzing the first-person video can be fundamentally different from those for the third-person video, and it is even more difficult to explore the shared information from both viewpoints.
