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08/27/2023
AIGC for Various Data Modalities: A Survey
AI-generated content (AIGC) methods aim to produce text, images, videos,...
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08/25/2023
Distribution-Aligned Diffusion for Human Mesh Recovery
Recovering a 3D human mesh from a single RGB image is a challenging task...
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04/27/2023
A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
Recently, deep learning based approaches have shown promising results in...
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04/09/2023
Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
Learning with large-scale unlabeled data has become a powerful tool for ...
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04/01/2023
Progressive Channel-Shrinking Network
Currently, salience-based channel pruning makes continuous breakthroughs...
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04/01/2023
GradMDM: Adversarial Attack on Dynamic Networks
Dynamic neural networks can greatly reduce computation redundancy withou...
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11/30/2022
DiffPose: Toward More Reliable 3D Pose Estimation
Monocular 3D human pose estimation is quite challenging due to the inher...
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09/03/2022
Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
The goal of fine-grained action recognition is to successfully discrimin...
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07/25/2022
IGFormer: Interaction Graph Transformer for Skeleton-based Human Interaction Recognition
Human interaction recognition is very important in many applications. On...
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07/20/2022
ERA: Expert Retrieval and Assembly for Early Action Prediction
Early action prediction aims to successfully predict the class label of ...
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09/23/2021
Recent Advances of Continual Learning in Computer Vision: An Overview
In contrast to batch learning where all training data is available at on...
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08/18/2021
The Multi-Modal Video Reasoning and Analyzing Competition
In this paper, we introduce the Multi-Modal Video Reasoning and Analyzin...
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08/04/2021
Multi-Branch with Attention Network for Hand-Based Person Recognition
In this paper, we propose a novel hand-based person recognition method f...
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01/13/2021
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning
In cases of serious crime, including sexual abuse, often the only availa...
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12/28/2020
Screening COVID-19 Based on CT/CXR Images Building a Publicly Available CT-scan Dataset of COVID-19
The rapid outbreak of COVID-19 threatens humans life all around the worl...
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12/22/2020
Human Action Recognition from Various Data Modalities: A Review
Human Action Recognition (HAR), aiming to understand human behaviors and...
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10/31/2020
DL-Reg: A Deep Learning Regularization Technique using Linear Regression
Regularization plays a vital role in the context of deep learning by pre...
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02/02/2016
Learning a Deep Model for Human Action Recognition from Novel Viewpoints
Recognizing human actions from unknown and unseen (novel) views is a cha...
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09/24/2014
Histogram of Oriented Principal Components for Cross-View Action Recognition
Existing techniques for 3D action recognition are sensitive to viewpoint...
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08/17/2014
Action Classification with Locality-constrained Linear Coding
We propose an action classification algorithm which uses Locality-constr...
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08/17/2014