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09/19/2023
Decoupling the Curve Modeling and Pavement Regression for Lane Detection
The curve-based lane representation is a popular approach in many lane d...
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09/08/2023
Language Prompt for Autonomous Driving
A new trend in the computer vision community is to capture objects of in...
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08/10/2023
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network
Monocular depth estimation is known as an ill-posed task in which object...
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07/18/2023
OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation
Referring video object segmentation (RVOS) aims at segmenting an object ...
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06/06/2023
TextFormer: A Query-based End-to-End Text Spotter with Mixed Supervision
End-to-end text spotting is a vital computer vision task that aims to in...
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05/25/2023
Language-Guided 3D Object Detection in Point Cloud for Autonomous Driving
This paper addresses the problem of 3D referring expression comprehensio...
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03/15/2023
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency
Monocular 3D object detection has become a mainstream approach in automa...
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03/06/2023
Referring Multi-Object Tracking
Existing referring understanding tasks tend to involve the detection of ...
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02/08/2023
Generalized Few-Shot 3D Object Detection of LiDAR Point Cloud for Autonomous Driving
Recent years have witnessed huge successes in 3D object detection to rec...
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02/02/2023
Adaptive Siamese Tracking with a Compact Latent Network
In this paper, we provide an intuitive viewing to simplify the Siamese-b...
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12/06/2022
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection is an indispensable task in advanced aut...
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09/27/2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning
The pioneering method for unsupervised meta-learning, CACTUs, is a clust...
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07/26/2022
Graph Neural Network and Spatiotemporal Transformer Attention for 3D Video Object Detection from Point Clouds
Previous works for LiDAR-based 3D object detection mainly focus on the s...
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07/26/2022
Semi-supervised 3D Object Detection with Proficient Teachers
Dominated point cloud-based 3D object detectors in autonomous driving sc...
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07/26/2022
ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection
Existing approaches for unsupervised point cloud pre-training are constr...
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03/30/2022
Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation
Since the rise of vision-language navigation (VLN), great progress has b...
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03/21/2022
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation
Sparsely annotated semantic segmentation (SASS) aims to train a segmenta...
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02/10/2022
Consistency and Diversity induced Human Motion Segmentation
Subspace clustering is a classical technique that has been widely used f...
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12/14/2021
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
Answering semantically-complicated questions according to an image is ch...
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08/06/2021
Full-Duplex Strategy for Video Object Segmentation
Appearance and motion are two important sources of information in video ...
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03/30/2021
Face Forensics in the Wild
On existing public benchmarks, face forgery detection techniques have ac...
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03/05/2021
Structured Scene Memory for Vision-Language Navigation
Recently, numerous algorithms have been developed to tackle the problem ...
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12/04/2020
Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
In recent years, Siamese-based trackers have achieved promising performa...
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08/26/2020
Siamese Network for RGB-D Salient Object Detection and Beyond
Existing RGB-D salient object detection (SOD) models usually treat RGB a...
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08/01/2020
RGB-D Salient Object Detection: A Survey
Salient object detection (SOD), which simulates the human visual percept...
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07/23/2020
Weakly Supervised 3D Object Detection from Lidar Point Cloud
It is laborious to manually label point cloud data for training high-qua...
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07/18/2020
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-Identification
Visible-infrared person re-identification (VI-ReID) is a challenging cro...
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07/15/2020
Active Visual Information Gathering for Vision-Language Navigation
Vision-language navigation (VLN) is the task of entailing an agent to ca...
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07/14/2020
Video Object Segmentation with Episodic Graph Memory Networks
How to make a segmentation model to efficiently adapt to a specific vide...
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05/12/2020
Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis
Retinal fundus images are widely used for clinical screening and diagnos...
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04/22/2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causi...
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04/17/2020
Self-Learning with Rectification Strategy for Human Parsing
In this paper, we solve the sample shortage problem in the human parsing...
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04/03/2020
LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention
Existing LiDAR-based 3D object detectors usually focus on the single-fra...
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03/25/2020
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
Current popular online multi-object tracking (MOT) solutions apply singl...
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03/10/2020
Learning Video Object Segmentation from Unlabeled Videos
We propose a new method for video object segmentation (VOS) that address...
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03/10/2020
Hierarchical Human Parsing with Typed Part-Relation Reasoning
Human parsing is for pixel-wise human semantic understanding. As human b...
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03/09/2020
Cascaded Human-Object Interaction Recognition
Rapid progress has been witnessed for human-object interaction (HOI) rec...
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02/26/2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
Graph convolutional neural networks (GCNs) have recently demonstrated pr...
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02/11/2020
Hi-Net: Hybrid-fusion Network for Multi-modal MR Image Synthesis
Magnetic resonance imaging (MRI) is a widely used neuroimaging technique...
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01/19/2020
Human-Aware Motion Deblurring
This paper proposes a human-aware deblurring model that disentangles the...
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01/19/2020
See More, Know More: Unsupervised Video Object Segmentation with Co-Attention Siamese Networks
We introduce a novel network, called CO-attention Siamese Network (COSNe...
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01/19/2020
Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks
This work proposes a novel attentive graph neural network (AGNN) for zer...
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01/19/2020
Learning Compositional Neural Information Fusion for Human Parsing
This work proposes to combine neural networks with the compositional hie...
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01/18/2020
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection
Due to the advantages of real-time detection and improved performance, s...
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01/13/2020
Deep Learning for Person Re-identification: A Survey and Outlook
Person re-identification (Re-ID) aims at retrieving a person of interest...
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07/25/2019
ET-Net: A Generic Edge-aTtention Guidance Network for Medical Image Segmentation
Segmentation is a fundamental task in medical image analysis. However, m...
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07/24/2019
Teacher-Students Knowledge Distillation for Siamese Trackers
With the development of Siamese network based trackers, a variety of tec...
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07/10/2019
Evaluation of Retinal Image Quality Assessment Networks in Different Color-spaces
Retinal image quality assessment (RIQA) is essential for controlling the...
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06/20/2019
Human vs Machine Attention in Neural Networks: A Comparative Study
Recent years have witnessed a surge in the popularity of attention mecha...
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06/06/2019