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03/14/2023
Adaptive Rotated Convolution for Rotated Object Detection
Rotated object detection aims to identify and locate objects in images w...
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05/03/2022
Cross Domain Object Detection by Target-Perceived Dual Branch Distillation
Cross domain object detection is a realistic and challenging task in the...
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04/17/2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
Domain adaptive object detection (DAOD) is a promising way to alleviate ...
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04/04/2022
Unsupervised Learning of Accurate Siamese Tracking
Unsupervised learning has been popular in various computer vision tasks,...
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03/15/2022
ActFormer: A GAN Transformer Framework towards General Action-Conditioned 3D Human Motion Generation
We present a GAN Transformer framework for general action-conditioned 3D...
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03/10/2022
Backbone is All Your Need: A Simplified Architecture for Visual Object Tracking
Exploiting a general-purpose neural architecture to replace hand-wired d...
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12/07/2021
Regularity Learning via Explicit Distribution Modeling for Skeletal Video Anomaly Detection
Anomaly detection in surveillance videos is challenging and important fo...
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07/27/2021
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021
This technical report presents an overview of our solution used in the s...
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06/02/2021
TSI: Temporal Saliency Integration for Video Action Recognition
Efficient spatiotemporal modeling is an important yet challenging proble...
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03/24/2021
Temporal Context Aggregation Network for Temporal Action Proposal Refinement
Temporal action proposal generation aims to estimate temporal intervals ...
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03/18/2021
Real-Time Visual Object Tracking via Few-Shot Learning
Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot...
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03/18/2021
Higher Performance Visual Tracking with Dual-Modal Localization
Visual Object Tracking (VOT) has synchronous needs for both robustness a...
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03/06/2021
Learning Statistical Texture for Semantic Segmentation
Existing semantic segmentation works mainly focus on learning the contex...
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12/08/2020
Context-Aware Graph Convolution Network for Target Re-identification
Most existing re-identification methods focus on learning robust and dis...
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09/22/2020
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure
Multi-Object Tracking (MOT) is a popular topic in computer vision. Howev...
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09/15/2020
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Recent years have witnessed the significant progress of action recogniti...
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09/15/2020
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Generating human action proposals in untrimmed videos is an important ye...
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07/19/2020
Class-wise Dynamic Graph Convolution for Semantic Segmentation
Recent works have made great progress in semantic segmentation by exploi...
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05/23/2020
Hierarchical Feature Embedding for Attribute Recognition
Attribute recognition is a crucial but challenging task due to viewpoint...
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08/07/2019
STM: SpatioTemporal and Motion Encoding for Action Recognition
Spatiotemporal and motion features are two complementary and crucial inf...
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01/21/2019