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09/12/2023
SGFeat: Salient Geometric Feature for Point Cloud Registration
Point Cloud Registration (PCR) is a critical and challenging task in com...
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08/24/2023
Implicit Obstacle Map-driven Indoor Navigation Model for Robust Obstacle Avoidance
Robust obstacle avoidance is one of the critical steps for successful go...
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06/06/2023
DFormer: Diffusion-guided Transformer for Universal Image Segmentation
This paper introduces an approach, named DFormer, for universal image se...
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05/04/2023
Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
3D scene flow estimation aims to estimate point-wise motions between two...
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04/24/2023
Transformer-based stereo-aware 3D object detection from binocular images
Vision Transformers have shown promising progress in various object dete...
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04/13/2023
Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
Self-supervised learning (SSL) has made remarkable progress in visual re...
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04/12/2023
Hard Patches Mining for Masked Image Modeling
Masked image modeling (MIM) has attracted much research attention due to...
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04/04/2023
Robust Outlier Rejection for 3D Registration with Variational Bayes
Learning-based outlier (mismatched correspondence) rejection for robust ...
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03/21/2023
LEAPS: End-to-End One-Step Person Search With Learnable Proposals
We propose an end-to-end one-step person search approach with learnable ...
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02/12/2023
Large-scale Point Cloud Registration Based on Graph Matching Optimization
Point Clouds Registration is a fundamental and challenging problem in 3D...
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12/13/2022
Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning
In contrastive self-supervised learning, the common way to learn discrim...
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10/11/2022
Learning Inter-Superpoint Affinity for Weakly Supervised 3D Instance Segmentation
Due to the few annotated labels of 3D point clouds, how to learn discrim...
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09/14/2022
Point Cloud Registration-Driven Robust Feature Matching for 3D Siamese Object Tracking
Learning robust feature matching between the template and search area is...
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08/09/2022
Unsupervised Domain Adaptation for Point Cloud Semantic Segmentation via Graph Matching
Unsupervised domain adaptation for point cloud semantic segmentation has...
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07/25/2022
Generative Subgraph Contrast for Self-Supervised Graph Representation Learning
Contrastive learning has shown great promise in the field of graph repre...
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07/25/2022
3D Siamese Transformer Network for Single Object Tracking on Point Clouds
Siamese network based trackers formulate 3D single object tracking as cr...
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07/25/2022
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation
Existing self-supervised monocular depth estimation methods can get rid ...
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04/30/2022
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras
Cross-spectrum depth estimation aims to provide a depth map in all illum...
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04/07/2022
PSTR: End-to-End One-Step Person Search With Transformers
We propose a novel one-step transformer-based person search framework, P...
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03/22/2022
Action Candidate Driven Clipped Double Q-learning for Discrete and Continuous Action Tasks
Double Q-learning is a popular reinforcement learning algorithm in Marko...
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03/14/2022
The Design and Implementation of a Broadly Applicable Algorithm for Optimizing Intra-Day Surgical Scheduling
Surgical scheduling optimization is an active area of research. However,...
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02/24/2022
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval
Sketch-based 3D shape retrieval is a challenging task due to the large d...
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02/23/2022
Reliable Inlier Evaluation for Unsupervised Point Cloud Registration
Unsupervised point cloud registration algorithm usually suffers from the...
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11/08/2021
3D Siamese Voxel-to-BEV Tracker for Sparse Point Clouds
3D object tracking in point clouds is still a challenging problem due to...
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09/14/2021
Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration
In this paper, by modeling the point cloud registration task as a Markov...
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09/07/2021
A new neighborhood structure for job shop scheduling problems
Job shop scheduling problem (JSP) is a widely studied NP-complete combin...
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09/03/2021
UnDeepLIO: Unsupervised Deep Lidar-Inertial Odometry
Extensive research efforts have been dedicated to deep learning based od...
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08/05/2021
Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration
Point cloud registration is a fundamental problem in 3D computer vision....
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08/01/2021
SSPU-Net: Self-Supervised Point Cloud Upsampling via Differentiable Rendering
Point clouds obtained from 3D sensors are usually sparse. Existing metho...
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05/03/2021
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks
Double Q-learning is a popular reinforcement learning algorithm in Marko...
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04/16/2021
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network
Point cloud semantic segmentation is a crucial task in 3D scene understa...
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03/29/2021
SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud
LiDAR-based 3D object detection pushes forward an immense influence on a...
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03/24/2021
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation
In recent years, how to strike a good trade-off between accuracy and inf...
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01/07/2021
Efficient 3D Point Cloud Feature Learning for Large-Scale Place Recognition
Point cloud based retrieval for place recognition is still a challenging...
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11/18/2020
TJU-DHD: A Diverse High-Resolution Dataset for Object Detection
Vehicles, pedestrians, and riders are the most important and interesting...
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10/01/2020
From Handcrafted to Deep Features for Pedestrian Detection: A Survey
Pedestrian detection is an important but challenging problem in computer...
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07/30/2020
Cascaded Non-local Neural Network for Point Cloud Semantic Segmentation
In this paper, we propose a cascaded non-local neural network for point ...
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07/10/2020
Progressive Point Cloud Deconvolution Generation Network
In this paper, we propose an effective point cloud generation method, wh...
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01/25/2020
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
Detecting pedestrians, especially under heavy occlusions, is a challengi...
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11/26/2019
A Two-stream End-to-End Deep Learning Network for Recognizing Atypical Visual Attention in Autism Spectrum Disorder
Eye movements have been widely investigated to study the atypical visual...
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10/14/2019
Mask-Guided Attention Network for Occluded Pedestrian Detection
Pedestrian detection relying on deep convolution neural networks has mad...
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12/21/2018
Pan-Cancer Epigenetic Biomarker Selection from Blood Samples Using SAS
A key focus in current cancer research is the discovery of cancer biomar...
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12/20/2018