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08/30/2023
Topology-aware MLP for Skeleton-based Action Recognition
Graph convolution networks (GCNs) have achieved remarkable performance i...
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06/21/2023
Evaluating Adversarial Robustness of Convolution-based Human Motion Prediction
Human motion prediction has achieved a brilliant performance with the he...
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05/21/2023
Target-Aware Spatio-Temporal Reasoning via Answering Questions in Dynamics Audio-Visual Scenarios
Audio-visual question answering (AVQA) is a challenging task that requir...
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04/18/2023
MLP-AIR: An Efficient MLP-Based Method for Actor Interaction Relation Learning in Group Activity Recognition
The task of Group Activity Recognition (GAR) aims to predict the activit...
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04/17/2023
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection
In the perception task of autonomous driving, multi-modal methods have b...
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03/27/2023
Global Relation Modeling and Refinement for Bottom-Up Human Pose Estimation
In this paper, we concern on the bottom-up paradigm in multi-person pose...
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03/13/2023
An Improved Baseline Framework for Pose Estimation Challenge at ECCV 2022 Visual Perception for Navigation in Human Environments Workshop
This technical report describes our first-place solution to the pose est...
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02/21/2023
Instance-incremental Scene Graph Generation from Real-world Point Clouds via Normalizing Flows
This work introduces a new task of instance-incremental scene graph gene...
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12/31/2022
An end-to-end multi-scale network for action prediction in videos
In this paper, we develop an efficient multi-scale network to predict ac...
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10/11/2022
Leveraging the Video-level Semantic Consistency of Event for Audio-visual Event Localization
Audio-visual event localization has attracted much attention in recent y...
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07/22/2022
Learning Human Kinematics by Modeling Temporal Correlations between Joints for Video-based Human Pose Estimation
Estimating human poses from videos is critical in human-computer interac...
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05/09/2022
HierAttn: Effectively Learn Representations from Stage Attention and Branch Attention for Skin Lesions Diagnosis
Accurate and unbiased examinations of skin lesions are critical for earl...
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05/08/2022
Past and Future Motion Guided Network for Audio Visual Event Localization
In recent years, audio-visual event localization has attracted much atte...
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04/04/2022
Learning Dynamic Correlations in Spatiotemporal Graphs for Motion Prediction
Human motion prediction is a challenge task due to the dynamic spatiotem...
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01/23/2022
ASCNet: Action Semantic Consistent Learning of Arbitrary Progress Levels for Early Action Prediction
Early action prediction aims to recognize human actions from only a part...
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11/20/2021
Real-World Semantic Grasping Detection
Reducing the scope of grasping detection according to the semantic infor...
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07/15/2021
Amodal segmentation just like doing a jigsaw
Amodal segmentation is a new direction of instance segmentation while co...
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07/08/2021
Relation-Based Associative Joint Location for Human Pose Estimation in Videos
Video-based human pose estimation (HPE) is a vital yet challenging task....
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07/08/2021
Uncertainty-aware Human Motion Prediction
Human motion prediction is essential for tasks such as human motion anal...
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05/20/2021
An Attractor-Guided Neural Networks for Skeleton-Based Human Motion Prediction
Joint relation modeling is a curial component in human motion prediction...
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04/11/2021
Temporal Consistency Two-Stream CNN for Human Motion Prediction
Fusion is critical for a two-stream network. In this paper, we propose a...
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01/20/2021
Mask-GD Segmentation Based Robotic Grasp Detection
The reliability of grasp detection for target objects in complex scenes ...
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12/23/2020
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction
Human motion prediction is an essential part for human-robot collaborati...
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10/11/2020
SDMTL: Semi-Decoupled Multi-grained Trajectory Learning for 3D human motion prediction
Predicting future human motion is critical for intelligent robots to int...
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05/25/2020
AGVNet: Attention Guided Velocity Learning for 3D Human Motion Prediction
Human motion prediction plays a vital role in human-robot interaction wi...
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03/15/2020
Energy-based Periodicity Mining with Deep Features for Action Repetition Counting in Unconstrained Videos
Action repetition counting is to estimate the occurrence times of the re...
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10/15/2019
Trajectorylet-Net: a novel framework for pose prediction based on trajectorylet descriptors
Pose prediction is an increasingly interesting topic in computer vision ...
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09/04/2019
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction
Pose prediction is to predict future poses given a window of previous po...
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08/29/2019