research
∙
09/18/2023
Collaborative Three-Stream Transformers for Video Captioning
As the most critical components in a sentence, subject, predicate and ob...
share
research
∙
08/16/2023
Unsupervised Domain Adaptive Detection with Network Stability Analysis
Domain adaptive detection aims to improve the generality of a detector, ...
research
∙
08/15/2023
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
Multi-object tracking (MOT) is a fundamental problem in computer vision ...
research
∙
07/30/2023
Integrated Private Data Trading Systems for Data Marketplaces
In the digital age, data is a valuable commodity, and data marketplaces ...
research
∙
07/17/2023
Deficiency-Aware Masked Transformer for Video Inpainting
Recent video inpainting methods have made remarkable progress by utilizi...
research
∙
05/19/2023
MaGIC: Multi-modality Guided Image Completion
The vanilla image completion approaches are sensitive to the large missi...
research
∙
04/22/2023
Fairness in Ranking Supermartingales
Lexicographic Ranking SuperMartingale (LexRSM) is a generalization of Ra...
research
∙
04/22/2023
Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
Current arbitrary style transfer models are limited to either image or v...
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...
research
∙
03/14/2023
PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
Planar object tracking is a critical computer vision problem and has dra...
research
∙
03/13/2023
SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance Function
In this paper, we develop a new method, termed SDF-3DGAN, for 3D object ...
research
∙
02/16/2023
Learning Density-Based Correlated Equilibria for Markov Games
Correlated Equilibrium (CE) is a well-established solution concept that ...
research
∙
01/01/2023
Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
Domain adaptive detection aims to improve the generalization of detector...
research
∙
11/19/2022
PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
Automatic security inspection relying on computer vision technology is a...
research
∙
08/25/2022
High-Fidelity Image Inpainting with GAN Inversion
Image inpainting seeks a semantically consistent way to recover the corr...
research
∙
08/25/2022
Unbiased Multi-Modality Guidance for Image Inpainting
Image inpainting is an ill-posed problem to recover missing or damaged i...
research
∙
07/27/2022
AutoTransition: Learning to Recommend Video Transition Effects
Video transition effects are widely used in video editing to connect sho...
research
∙
07/07/2022
Dual-Stream Transformer for Generic Event Boundary Captioning
This paper describes our champion solution for the CVPR2022 Generic Even...
research
∙
06/07/2022
Structured Context Transformer for Generic Event Boundary Detection
Generic Event Boundary Detection (GEBD) aims to detect moments where hum...
research
∙
04/30/2022
AnimalTrack: A Large-scale Benchmark for Multi-Animal Tracking in the Wild
Multi-animal tracking (MAT), a multi-object tracking (MOT) problem, is c...
research
∙
03/31/2022
Multi-Granularity Alignment Domain Adaptation for Object Detection
Domain adaptive object detection is challenging due to distinctive data ...
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
∙
02/13/2022
Individual-Level Inverse Reinforcement Learning for Mean Field Games
The recent mean field game (MFG) formalism has enabled the application o...
research
∙
08/23/2021
Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection
Prohibited items detection in X-ray images often plays an important role...
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
∙
07/01/2021
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
∙
04/18/2020
Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module
Object detection has taken advantage of the advances in deep convolution...
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
∙
01/13/2020
Towards Interpretable and Robust Hand Detection via Pixel-wise Prediction
The lack of interpretability of existing CNN-based hand detection method...
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
∙
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
∙
09/10/2019
Computer Assisted Composition in Continuous Time
We address the problem of combining sequence models of symbolic music wi...
research
∙
06/11/2019
Scale Invariant Fully Convolutional Network: Detecting Hands Efficiently
Existing hand detection methods usually follow the pipeline of multiple ...
research
∙
04/10/2019