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09/05/2023
Diffusion-based 3D Object Detection with Random Boxes
3D object detection is an essential task for achieving autonomous drivin...
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07/06/2023
CityTrack: Improving City-Scale Multi-Camera Multi-Target Tracking by Location-Aware Tracking and Box-Grained Matching
Multi-Camera Multi-Target Tracking (MCMT) is a computer vision technique...
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06/19/2023
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection
Monocular 3D object detection aims to locate objects in different scenes...
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06/04/2023
SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model
With the development of large language models, many remarkable linguisti...
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05/12/2023
Multi-Modal 3D Object Detection by Box Matching
Multi-modal 3D object detection has received growing attention as the in...
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04/10/2023
SOOD: Towards Semi-Supervised Oriented Object Detection
Semi-Supervised Object Detection (SSOD), aiming to explore unlabeled dat...
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04/09/2023
CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
Supervised crowd counting relies heavily on costly manual labeling, whic...
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10/11/2022
Repainting and Imitating Learning for Lane Detection
Current lane detection methods are struggling with the invisibility lane...
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07/12/2022
Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network
3D object detection task from lidar or camera sensors is essential for a...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/03/2021
SGM3D: Stereo Guided Monocular 3D Object Detection
Monocular 3D object detection is a critical yet challenging task for aut...
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09/18/2021
Self-Adaptive Partial Domain Adaptation
Partial Domain adaptation (PDA) aims to solve a more practical cross-dom...
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04/22/2021
Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting
Crowd counting has drawn much attention due to its importance in safety-...
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03/07/2020
Crowd Counting via Hierarchical Scale Recalibration Network
The task of crowd counting is extremely challenging due to complicated d...
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08/12/2019
Enhanced 3D convolutional networks for crowd counting
Recently, convolutional neural networks (CNNs) are the leading defacto m...
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08/07/2019
