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Found 12 papers, 1 papers with code
EmoSpeaker: One-shot Fine-grained Emotion-Controlled Talking Face Generation
Additionally, we propose an emotion intensity control method using a fine-grained emotion matrix.
PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration
We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation.
M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking
3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving.
EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting
Based on cross-attention module, we further build a semantic and contour detector (SCD) to accurately capture both of the low-frequency semantic and high-frequency contour features.
One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration
In this paper, we propose an effective inlier estimation method for unsupervised point cloud registration by capturing geometric structure consistency between the source point cloud and its corresponding reference point cloud copy.
Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition
To highlight the predictive information, we further integrate a memory network.
Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration
However, most evolving registration methods cannot tackle the local optimum well and they have rarely investigated the success ratio, which implies the probability of not falling into local optima and is closely related to the practicality of the algorithm.
Multi-view Point Cloud Registration based on Evolutionary Multitasking with Bi-Channel Knowledge Sharing Mechanism
The modeling of multi-view point cloud registration as multi-task optimization are twofold.
Scene Graph Generation: A Comprehensive Survey
In this paper, we provide a comprehensive survey of recent achievements in this field brought about by deep learning techniques.
CA-PMG: Channel attention and progressive multi-granularity training network for fine-grained visual classification
For each feature map, the channel attention module is proposed to explore channel-wise correlation.
Fine-Grained Image Classification
Fine-Grained Visual Recognition
Cr-net: A deep classification-regression network for multimodal apparent personality analysis
First impressions strongly influence social interactions, having a high impact in the personal and professional life.
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting more than $200$ teams round the world.
