2022 IROS 내 맘대로 Paper List - 1탄

 

Num	Figure	Paper​	Author
1		Multi-Source Domain Alignment for Domain Invariant Segmentation in Unknown Targets	Pranjay Shyam(KAIST)
		Unsupervised Domain Adaptation, Domain Generalization, Contrastive Learning
2		Depth360: Self-supervised Learning for Monocular Depth Estimation using Learnable camera Distortion Model	Noriaki Hirose(Toyota central R&D Labs)
		Point Cloud, Classification, Generation, Clustering, Particle Tracking
3		Fast Detection of Moving Traffic Participants in LiDAR Point Clouds by using Particles augmented with Free Space Information	Andress Reich(Institute for Autonomous System Technology, Universität der Bundeswehr München, Neubiberg, Germany)
4		RPG: Learning Recursive Point Cloud Generation	Wei-Jan Ko(National Chiao Tung University)
		Novel point cloud generator, Recursive, Reconstruction
5		Fully Convolutional Transformer wiht Local-Global Attention	Sihaeng Lee, Eojindl Yi(Vision Lab of LG AI Research)
		Transformers and ViT, depth estimation
6		DeepFusion: A Robust and Modulsar 3D Object Detector for Lidars, Cameras and Radars	Florian Drews(Robert Bosch GmbH, Corporate Research, Germany)
		Lidar, Camera, Radar, 3D object detection, Multimodal
7		CVFNet:Real-time 3D Object Detection by Learning Cross View features	Jiaqi Gu(College of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, China)
		3D object detection, LiDAR, point cloud, Object Detector
8		Towards Two-view 6D Object Pose Estimation: A Comparative Study on Fusion Strategy	Jun Wu(Institue of Cyber-Systems and Control, Zhejiang University, Zhejiang, China)
		object pose estimation, RGB-based
9		Probabilistic Object Maps for Long-Term Robot Localization	Amanda Adkins(The University of Texas)
		SLAM, Localization, POM(Probabilistic Object Maps)
10		COMPASS: Contrastive Multimodal Pretraining for Autonomous systems	Shuang Ma(Microsoft redmond)
		Representation Learning, Multimodal, Autonomous system
11		Self-Supervised Feature Learning form Partial clouds via Pose Disentanglement	Meng-Shiun Tsai(National Chiao Tung University)
		Self-Supervised Learning, Point Cloud, Feature Disentanglement
12		NDD: A 3D Point cloud Descriptor Based on Normal Distribution for Loop Closure Detection	Ruihao Zhou(Guangdong University of technology, China)
		Loop Closure Detection, Global Descriptor, NDD(Normal Distribution Descriptor), 3D Point Cloud
13		Scale-aware direct monocular odometry	Carlos Campos(Instituto de Investigatión en Ingeniería de Aragón (I3A), Universidad de Zaragoza, Spain)
		Odometry, depth prediction
14		Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation	Nikhil Chavan-Dafle(Samsung AI Center, New York), Sergiy Popovych(Princeton University, Princeton)
		Simultaneous Reconstruction
15		Closed-Loop Next-Best-View Planning for Target-Driven Grasping	Michel Breyer(Autonomous Systems Lab, ETH Zurich, 8092 Zurich, Switzerland)
		Clutter, View Plaaner, Grasp Prediction
16		New Objects on the Road? No Problem, We'll Learn Them Too	Deepak Kumar Singh(CVIT - IIIT Hyderabad, India), Shyam Nandan Rai(Politecnico di Torino, Italy)
		Object Detection, Feture-Mix,
17		Conditional Patch-Based domain randomization: Improving Texture domain Randomization Using Natural Image Patches	Mohammad Ani(University of Birmingham, Birmingham, UK)
		Domain Randomized Texture
18		Sim2Real Instance Level Style Transfer for 6D Pose Estimation	Takuya Ikeda(Woven Planet Holdings)
		Sim2Real. Style Transfer
19		Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds	Aakash Kumar(Center for Research in Computer Vision, University of Central Florida, USA)
		Multiple Object Tracking, 3D point clouds, LiDAR
20		Hierarchical Road Topology Learning for Urban Mapless Driving	Li Zhang(Mercedes-Benz Research and Development North America)

IROS 학회에 올라온 논문이 1200편임,, 그중에 200개 논문 제목 보고 그 중에 재밌을 거 같은 거 골라봄

개인적으로 로보틱스 보다는 컴퓨터비전에 더 중점을 둔 분야를 좋아하기 때문에 그런 논문이 더 많은 것 같다.

이번 주말에 다 뒤져보는 걸 목표로,,,

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