research
∙
03/22/2023
Text with Knowledge Graph Augmented Transformer for Video Captioning
Video captioning aims to describe the content of videos using natural la...
share
research
∙
03/06/2023
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate stro...
research
∙
07/07/2022
Dual-Stream Transformer for Generic Event Boundary Captioning
This paper describes our champion solution for the CVPR2022 Generic Even...
research
∙
06/25/2022
SC-Transformer++: Structured Context Transformer for Generic Event Boundary Detection
This report presents the algorithm used in the submission of Generic Eve...
research
∙
06/07/2022
Structured Context Transformer for Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) aims to detect moments where hum...
research
∙
03/29/2022
End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection
Generic event boundary detection aims to localize the generic, taxonomy-...
research
∙
08/16/2021
Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark
Automatic security inspection using computer vision technology is a chal...
research
∙
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...
research
∙
07/01/2021
Generic Event Boundary Detection Challenge at CVPR 2021 Technical Report: Cascaded Temporal Attention Network (CASTANET)
This report presents the approach used in the submission of Generic Even...
research
∙
05/06/2021
Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
To promote the developments of object detection, tracking and counting a...
research
∙
05/27/2020
Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering
Pig counting is a crucial task for large-scale pig farming, which is usu...
research
∙
03/29/2020
Spatial Attention Pyramid Network for Unsupervised Domain Adaptation
Unsupervised domain adaptation is critical in various computer vision ta...
research
∙
03/18/2020
Rethinking Object Detection in Retail Stores
The convention standard for object detection uses a bounding box to repr...
research
∙
03/16/2020
Multi-Drone based Single Object Tracking with Agent Sharing Network
Drone equipped with cameras can dynamically track the target in the air ...
research
∙
01/16/2020
Vision Meets Drones: Past, Present and Future
Drones, or general UAVs, equipped with cameras have been fast deployed w...
research
∙
12/20/2019
Learning Semantic Neural Tree for Human Parsing
The majority of existing human parsing methods formulate the task as sem...
research
∙
12/11/2019
SiamMan: Siamese Motion-aware Network for Visual Tracking
In this paper, we present a novel siamese motion-aware network (SiamMan)...
research
∙
12/04/2019
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
This paper proposes a space-time multi-scale attention network (STANet) ...
research
∙
09/25/2019
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization
Fine-grained visual categorization (FGVC) is an important but challengin...
research
∙
09/25/2019
Guided Attention Network for Object Detection and Counting on Drones
Object detection and counting are related but challenging problems, espe...
research
∙
08/06/2019
Multi-view Deep Subspace Clustering Networks
Multi-view subspace clustering aims to discover the inherent structure b...
research
∙
07/29/2019
ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition
The ChaLearn large-scale gesture recognition challenge has been run twic...
research
∙
04/10/2019
Data Priming Network for Automatic Check-Out
Automatic Check-Out (ACO) receives increased interests in recent years. ...
research
∙
04/04/2019
Spatiotemporal CNN for Video Object Segmentation
In this paper, we present a unified, end-to-end trainable spatiotemporal...
research
∙
12/10/2018
Learning Non-Uniform Hypergraph for Multi-Object Tracking
The majority of Multi-Object Tracking (MOT) algorithms based on the trac...
research
∙
11/06/2018
Evolvement Constrained Adversarial Learning for Video Style Transfer
Video style transfer is a useful component for applications such as augm...
research
∙
10/19/2018
ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch
Current state-of-the-art object objectors are fine-tuned from the off-th...
research
∙
07/23/2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
Pedestrian detection in crowded scenes is a challenging problem since th...
research
∙
04/20/2018
Vision Meets Drones: A Challenge
In this paper we present a large-scale visual object detection and track...
research
∙
11/18/2017
Single-Shot Refinement Neural Network for Object Detection
For object detection, the two-stage approach (e.g., Faster R-CNN) has be...
research
∙
06/13/2017
Contrast Enhancement Estimation for Digital Image Forensics
Inconsistency in contrast enhancement can be used to expose image forger...
research
∙
03/18/2016
Geometric Hypergraph Learning for Visual Tracking
Graph based representation is widely used in visual tracking field by fi...
research
∙
11/13/2015
