Loop-closure detection by LiDAR scan re-identification
Jukka Peltomäki,
Xingyang Ni,
Jussi Puura,
Joni-Kristian Kamarainen,
Heikki Juhani Huttunen
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; Loop-Closing Detection from LiDAR Scans Using Convolutional Neural Networks
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Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning
Hyunseung Chung,
Woo-Jeoung Nam,
Seong-Whan Lee
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 12:00 in
session PS T1.3

Auto-TLDR; Robust Remote Sensing Image Retrieval Using Group Convolution with Attention Mechanism and Metric Learning
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Multi-Level Deep Learning Vehicle Re-Identification Using Ranked-Based Loss Functions
Eleni Kamenou,
Jesus Martinez-Del-Rincon,
Paul Miller,
Patricia Devlin - Hill
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; Multi-Level Re-identification Network for Vehicle Re-Identification
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Do We Really Need Scene-Specific Pose Encoders?
Yoli Shavit,
Ron Ferens
Track 3: Computer Vision Robotics and Intelligent Systems
Thu 14 Jan 2021 at 16:00 in
session OS T3.4

Auto-TLDR; Pose Regression Using Deep Convolutional Networks for Visual Similarity
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Progressive Learning Algorithm for Efficient Person Re-Identification
Zhen Li,
Hanyang Shao,
Liang Niu,
Nian Xue
Track 5: Image and Signal Processing
Fri 15 Jan 2021 at 15:00 in
session PS T5.7

Auto-TLDR; Progressive Learning Algorithm for Large-Scale Person Re-Identification
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Attentive Part-Aware Networks for Partial Person Re-Identification
Lijuan Huo,
Chunfeng Song,
Zhengyi Liu,
Zhaoxiang Zhang
Track 2: Biometrics, Human Analysis and Behavior Understanding
Wed 13 Jan 2021 at 12:00 in
session PS T2.2

Auto-TLDR; Part-Aware Learning for Partial Person Re-identification
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Generalized Local Attention Pooling for Deep Metric Learning
Carlos Roig Mari,
David Varas,
Issey Masuda,
Juan Carlos Riveiro,
Elisenda Bou-Balust
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Thu 14 Jan 2021 at 12:00 in
session PS T1.9

Auto-TLDR; Generalized Local Attention Pooling for Deep Metric Learning
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Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning
Vladislav Sovrasov,
Dmitry Sidnev
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session OS T1.8

Auto-TLDR; Cross-Domain Generalization in Person Re-identification using Omni-Scale Network
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Adaptive L2 Regularization in Person Re-Identification
Xingyang Ni,
Liang Fang,
Heikki Juhani Huttunen
Track 5: Image and Signal Processing
Fri 15 Jan 2021 at 16:00 in
session PS T5.8

Auto-TLDR; AdaptiveReID: Adaptive L2 Regularization for Person Re-identification
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Rethinking ReID:Multi-Feature Fusion Person Re-Identification Based on Orientation Constraints
Mingjing Ai,
Guozhi Shan,
Bo Liu,
Tianyang Liu
Track 2: Biometrics, Human Analysis and Behavior Understanding
Wed 13 Jan 2021 at 12:00 in
session PS T2.2

Auto-TLDR; Person Re-identification with Orientation Constrained Network
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RISEdb: A Novel Indoor Localization Dataset
Carlos Sanchez Belenguer,
Erik Wolfart,
Álvaro Casado Coscollá,
Vitor Sequeira
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; Indoor Localization Using LiDAR SLAM and Smartphones: A Benchmarking Dataset
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Deep Top-Rank Counter Metric for Person Re-Identification
Chen Chen,
Hao Dou,
Xiyuan Hu,
Silong Peng
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session PS T1.14

Auto-TLDR; Deep Top-Rank Counter Metric for Person Re-identification
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Top-DB-Net: Top DropBlock for Activation Enhancement in Person Re-Identification
Rodolfo Quispe,
Helio Pedrini
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session PS T1.14

Auto-TLDR; Top-DB-Net for Person Re-Identification using Top DropBlock
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Learning Embeddings for Image Clustering: An Empirical Study of Triplet Loss Approaches
Kalun Ho,
Janis Keuper,
Franz-Josef Pfreundt,
Margret Keuper
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 15:00 in
session PS T3.1

Auto-TLDR; Clustering Objectives for K-means and Correlation Clustering Using Triplet Loss
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Not 3D Re-ID: Simple Single Stream 2D Convolution for Robust Video Re-Identification
Toby Breckon,
Aishah Alsehaim
Track 2: Biometrics, Human Analysis and Behavior Understanding
Thu 14 Jan 2021 at 12:00 in
session PS T2.4

Auto-TLDR; ResNet50-IBN for Video-based Person Re-Identification using Single Stream 2D Convolution Network
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Extending Single Beam Lidar to Full Resolution by Fusing with Single Image Depth Estimation
Yawen Lu,
Yuxing Wang,
Devarth Parikh,
Guoyu Lu
Track 5: Image and Signal Processing
Thu 14 Jan 2021 at 14:00 in
session OS T5.4

Auto-TLDR; Self-supervised LIDAR for Low-Cost Depth Estimation
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Self and Channel Attention Network for Person Re-Identification
Asad Munir,
Niki Martinel,
Christian Micheloni
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; SCAN: Self and Channel Attention Network for Person Re-identification
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3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
Soha Sadat Mahdi,
Nele Nauwelaers,
Philip Joris,
Giorgos Bouritsas,
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Susan Walsh,
Mark Shriver,
Michael Bronstein,
Peter Claes
Track 2: Biometrics, Human Analysis and Behavior Understanding
Thu 14 Jan 2021 at 14:00 in
session OS T2.2

Auto-TLDR; Multi-biometric Fusion for Biometric Verification using 3D Facial Mesures
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SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition
Raphael Memmesheimer,
Nick Theisen,
Dietrich Paulus
Track 3: Computer Vision Robotics and Intelligent Systems
Thu 14 Jan 2021 at 16:00 in
session OS T3.4

Auto-TLDR; One-Shot Action Recognition using Metric Learning
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One-Shot Representational Learning for Joint Biometric and Device Authentication
Sudipta Banerjee,
Arun Ross
Track 2: Biometrics, Human Analysis and Behavior Understanding
Tue 12 Jan 2021 at 17:00 in
session PS T2.1

Auto-TLDR; Joint Biometric and Device Recognition from a Single Biometric Image
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Visual Localization for Autonomous Driving: Mapping the Accurate Location in the City Maze
Dongfang Liu,
Yiming Cui,
Xiaolei Guo,
Wei Ding,
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Yingjie Chen
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.2

Auto-TLDR; Feature Voting for Robust Visual Localization in Urban Settings
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Attention-Based Deep Metric Learning for Near-Duplicate Video Retrieval
Kuan-Hsun Wang,
Chia Chun Cheng,
Yi-Ling Chen,
Yale Song,
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Tue 12 Jan 2021 at 14:00 in
session OS T3.1

Auto-TLDR; Attention-based Deep Metric Learning for Near-duplicate Video Retrieval
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Benchmarking Cameras for OpenVSLAM Indoors
Kevin Chappellet,
Guillaume Caron,
Fumio Kanehiro,
Ken Sakurada,
Abderrahmane Kheddar
Track 3: Computer Vision Robotics and Intelligent Systems
Fri 15 Jan 2021 at 15:00 in
session PS T3.10

Auto-TLDR; OpenVSLAM: Benchmarking Camera Types for Visual Simultaneous Localization and Mapping
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NetCalib: A Novel Approach for LiDAR-Camera Auto-Calibration Based on Deep Learning
Shan Wu,
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Tue 12 Jan 2021 at 17:00 in
session PS T3.2

Auto-TLDR; Automatic Calibration of LiDAR and Cameras using Deep Neural Network
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Multi-Label Contrastive Focal Loss for Pedestrian Attribute Recognition
Xiaoqiang Zheng,
Zhenxia Yu,
Lin Chen,
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Fri 15 Jan 2021 at 15:00 in
session PS T2.5

Auto-TLDR; Multi-label Contrastive Focal Loss for Pedestrian Attribute Recognition
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Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
Bing Zha,
Alper Yilmaz
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 16:30 in
session PS T1.8

Auto-TLDR; Exploiting Motion Trajectories for Geolocalization of Object on Topological Map using Recurrent Neural Network
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Deep Next-Best-View Planner for Cross-Season Visual Route Classification
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Kanji Tanaka
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Thu 14 Jan 2021 at 14:00 in
session PS T3.8

Auto-TLDR; Active Visual Place Recognition using Deep Convolutional Neural Network
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A Fine-Grained Dataset and Its Efficient Semantic Segmentation for Unstructured Driving Scenarios
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Wed 13 Jan 2021 at 16:30 in
session PS T3.5

Auto-TLDR; TAS500: A Semantic Segmentation Dataset for Autonomous Driving in Unstructured Environments
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Equation Attention Relationship Network (EARN) : A Geometric Deep Metric Framework for Learning Similar Math Expression Embedding
Saleem Ahmed,
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Tue 12 Jan 2021 at 17:00 in
session PS T4.1

Auto-TLDR; Representational Learning for Similarity Based Retrieval of Mathematical Expressions
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Localization of Unmanned Aerial Vehicles in Corridor Environments Using Deep Learning
Ram Padhy,
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Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; A monocular vision assisted localization algorithm for indoor corridor environments
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Weight Estimation from an RGB-D Camera in Top-View Configuration
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Marina Paolanti,
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Tue 12 Jan 2021 at 15:00 in
session PS T1.2

Auto-TLDR; Top-View Weight Estimation using Deep Neural Networks
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Nonlinear Ranking Loss on Riemannian Potato Embedding
Byung Hyung Kim,
Yoonje Suh,
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Wed 13 Jan 2021 at 14:00 in
session PS T1.6

Auto-TLDR; Riemannian Potato for Rank-based Metric Learning
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Generic Merging of Structure from Motion Maps with a Low Memory Footprint
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David Gillsjö,
Patrik Persson,
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Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; A Low-Memory Footprint Representation for Robust Map Merge
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William Prew,
Toby Breckon,
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Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; Improving grasping performance from monocularcolour images in an end-to-end CNN architecture with multi-task learning
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Yolo+FPN: 2D and 3D Fused Object Detection with an RGB-D Camera
Ya Wang
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Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; Yolo+FPN: Combining 2D and 3D Object Detection for Real-Time Object Detection
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Supporting Skin Lesion Diagnosis with Content-Based Image Retrieval
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Wed 13 Jan 2021 at 16:30 in
session PS T3.5

Auto-TLDR; Skin Images Retrieval Using Convolutional Neural Networks for Skin Lesion Classification and Segmentation
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Vehicle Lane Merge Visual Benchmark
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Thu 14 Jan 2021 at 12:00 in
session PS T1.9

Auto-TLDR; A Benchmark for Automated Cooperative Maneuvering Using Multi-view Video Streams and Ground Truth Vehicle Description
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SSDL: Self-Supervised Domain Learning for Improved Face Recognition
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Fri 15 Jan 2021 at 15:00 in
session PS T2.5

Auto-TLDR; Self-supervised Domain Learning for Face Recognition in unconstrained environments
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Fri 15 Jan 2021 at 15:00 in
session PS T2.5

Auto-TLDR; DAIL: Dataset-Aware and Invariant Learning for Face Recognition
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Qing Xie,
Yanchun Ma,
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Fri 15 Jan 2021 at 15:00 in
session PS T1.13

Auto-TLDR; CE2L: A Novel Network for Cross-Modality Re-identification with Feature Alignment
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On Identification and Retrieval of Near-Duplicate Biological Images: A New Dataset and Protocol
Thomas E. Koker,
Sai Spandana Chintapalli,
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Marcelo Cicconet,
Mary C. Walsh
Track 4: Document and Media Analysis
Tue 12 Jan 2021 at 17:00 in
session PS T4.1

Auto-TLDR; BINDER: Bio-Image Near-Duplicate Examples Repository for Image Identification and Retrieval
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Pose Variation Adaptation for Person Re-Identification
Lei Zhang,
Na Jiang,
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Yue Xu,
Zhong Zhou,
Wei Wu
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Thu 14 Jan 2021 at 12:00 in
session PS T3.7

Auto-TLDR; Pose Transfer Generative Adversarial Network for Person Re-identification
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A Systematic Investigation on Deep Architectures for Automatic Skin Lesions Classification
Pierluigi Carcagni,
Marco Leo,
Andrea Cuna,
Giuseppe Celeste,
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Track 5: Image and Signal Processing
Wed 13 Jan 2021 at 16:30 in
session PS T5.4

Auto-TLDR; RegNet: Deep Investigation of Convolutional Neural Networks for Automatic Classification of Skin Lesions
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How Important Are Faces for Person Re-Identification?
Julia Dietlmeier,
Joseph Antony,
Kevin Mcguinness,
Noel E O'Connor
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 16:00 in
session PS T1.15

Auto-TLDR; Anonymization of Person Re-identification Datasets with Face Detection and Blurring
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Enhancing Deep Semantic Segmentation of RGB-D Data with Entangled Forests
Matteo Terreran,
Elia Bonetto,
Stefano Ghidoni
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; FuseNet: A Lighter Deep Learning Model for Semantic Segmentation
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Can Zhang,
Hong Liu,
Wei Guo,
Mang Ye
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Wed 13 Jan 2021 at 12:00 in
session PS T5.3

Auto-TLDR; Multi-Scale Part-Aware Cascading for RGB-Infrared Person Re-identification
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HPERL: 3D Human Pose Estimastion from RGB and LiDAR
Michael Fürst,
Shriya T.P. Gupta,
René Schuster,
Oliver Wasenmüler,
Didier Stricker
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; 3D Human Pose Estimation Using RGB and LiDAR Using Weakly-Supervised Approach
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Object-Oriented Map Exploration and Construction Based on Auxiliary Task Aided DRL
Junzhe Xu,
Jianhua Zhang,
Shengyong Chen,
Honghai Liu
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Wed 13 Jan 2021 at 12:00 in
session PS T1.4

Auto-TLDR; Auxiliary Task Aided Deep Reinforcement Learning for Environment Exploration by Autonomous Robots
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Multiple Future Prediction Leveraging Synthetic Trajectories
Lorenzo Berlincioni,
Federico Becattini,
Lorenzo Seidenari,
Alberto Del Bimbo
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Thu 14 Jan 2021 at 14:00 in
session PS T1.11

Auto-TLDR; Synthetic Trajectory Prediction using Markov Chains
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Attention Based Coupled Framework for Road and Pothole Segmentation
Shaik Masihullah,
Ritu Garg,
Prerana Mukherjee,
Anupama Ray
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Tue 12 Jan 2021 at 17:00 in
session PS T3.2

Auto-TLDR; Few Shot Learning for Road and Pothole Segmentation on KITTI and IDD
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Polarimetric Image Augmentation
Marc Blanchon,
Fabrice Meriaudeau,
Olivier Morel,
Ralph Seulin,
Desire Sidibe
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; Polarimetric Augmentation for Deep Learning in Robotics Applications
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