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07/11/2023
Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators
Federated learning has become a popular method to learn from decentraliz...
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07/05/2023
Multimodal Imbalance-Aware Gradient Modulation for Weakly-supervised Audio-Visual Video Parsing
Weakly-supervised audio-visual video parsing (WS-AVVP) aims to localize ...
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05/22/2022
Learning Muti-expert Distribution Calibration for Long-tailed Video Classification
Most existing state-of-the-art video classification methods assume the t...
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04/04/2022
Learning Commonsense-aware Moment-Text Alignment for Fast Video Temporal Grounding
Grounding temporal video segments described in natural language queries ...
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03/31/2022
Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
We target at the task of weakly-supervised action localization (WSAL), w...
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03/23/2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting
Pedestrian counting is a fundamental tool for understanding pedestrian p...
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12/01/2021
Weakly-Supervised Video Object Grounding via Causal Intervention
We target at the task of weakly-supervised video object grounding (WSVOG...
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10/28/2021
Audio-visual Representation Learning for Anomaly Events Detection in Crowds
In recent years, anomaly events detection in crowd scenes attracts many ...
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08/02/2021
Congested Crowd Instance Localization with Dilated Convolutional Swin Transformer
Crowd localization is a new computer vision task, evolved from crowd cou...
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07/19/2021
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer...
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03/23/2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph
Health management is getting increasing attention all over the world. Ho...
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10/12/2020
Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning
Unlabeled data learning has attracted considerable attention recently. H...
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09/29/2020
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View
Drones shooting can be applied in dynamic traffic monitoring, object det...
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05/14/2020
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions
Visual crowd counting has been recently studied as a way to enable peopl...
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04/05/2020
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting
Cross-domain crowd counting (CDCC) is a hot topic due to its importance ...
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03/28/2020
CNN-based Density Estimation and Crowd Counting: A Survey
Accurately estimating the number of objects in a single image is a chall...
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02/20/2020
Focus on Semantic Consistency for Cross-domain Crowd Understanding
For pixel-level crowd understanding, it is time-consuming and laborious ...
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01/10/2020
NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting
In the last decade, crowd counting attracts much attention of researcher...
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12/08/2019
Domain-adaptive Crowd Counting via Inter-domain Features Segregation and Gaussian-prior Reconstruction
Recently, crowd counting using supervised learning achieves a remarkable...
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12/08/2019
Feature-aware Adaptation and Structured Density Alignment for Crowd Counting in Video Surveillance
With the development of deep neural networks, the performance of crowd c...
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08/10/2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Recently, crowd counting is a hot topic in crowd analysis. Many CNN-base...
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07/05/2019
C^3 Framework: An Open-source PyTorch Code for Crowd Counting
This technical report attempts to provide efficient and solid kits addre...
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05/24/2019
PCC Net: Perspective Crowd Counting via Spatial Convolutional Network
Crowd counting from a single image is a challenging task due to high app...
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05/05/2019
Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection
Road detection from the perspective of moving vehicles is a challenging ...
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05/05/2019
A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling
Street scene understanding is an essential task for autonomous driving. ...
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04/19/2019
Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes
Semantic segmentation, a pixel-level vision task, is developed rapidly b...
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03/08/2019
