CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection
Shengnan Hu,
Yang Zhang,
Sumit Laha,
Ankit Sharma,
Hassan Foroosh
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; Contextual camouflage attack for object detection
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AdvHat: Real-World Adversarial Attack on ArcFace Face ID System
Stepan Komkov,
Aleksandr Petiushko
Track 2: Biometrics, Human Analysis and Behavior Understanding
Wed 13 Jan 2021 at 12:00 in
session PS T2.2

Auto-TLDR; Adversarial Sticker Attack on ArcFace in Shooting Conditions
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Transferable Adversarial Attacks for Deep Scene Text Detection
Shudeng Wu,
Tao Dai,
Guanghao Meng,
Bin Chen,
Jian Lu,
Shutao Xia
Track 4: Document and Media Analysis
Fri 15 Jan 2021 at 13:00 in
session OS T 4.2

Auto-TLDR; Robustness of DNN-based STD methods against Adversarial Attacks
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SyNet: An Ensemble Network for Object Detection in UAV Images
Berat Mert Albaba,
Sedat Ozer
Track 3: Computer Vision Robotics and Intelligent Systems
Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; SyNet: Combining Multi-Stage and Single-Stage Object Detection for Aerial Images
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Optimal Transport As a Defense against Adversarial Attacks
Quentin Bouniot,
Romaric Audigier,
Angélique Loesch
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 16:30 in
session PS T1.7

Auto-TLDR; Sinkhorn Adversarial Training with Optimal Transport Theory
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MFPP: Morphological Fragmental Perturbation Pyramid for Black-Box Model Explanations
Qing Yang,
Xia Zhu,
Jong-Kae Fwu,
Yun Ye,
Ganmei You,
Yuan Zhu
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Tue 12 Jan 2021 at 15:00 in
session PS T1.1

Auto-TLDR; Morphological Fragmental Perturbation Pyramid for Explainable Deep Neural Network
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Forground-Guided Vehicle Perception Framework
Kun Tian,
Tong Zhou,
Shiming Xiang,
Chunhong Pan
Track 3: Computer Vision Robotics and Intelligent Systems
Fri 15 Jan 2021 at 15:00 in
session PS T3.10

Auto-TLDR; A foreground segmentation branch for vehicle detection
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Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Faisal Alamri,
Sinan Kalkan,
Nicolas Pugeault
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; Context Module for Robust Object Detection with Transformer-Encoder Detector Module
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Cost-Effective Adversarial Attacks against Scene Text Recognition
Mingkun Yang,
Haitian Zheng,
Xiang Bai,
Jiebo Luo
Track 4: Document and Media Analysis
Thu 14 Jan 2021 at 12:00 in
session PS T4.3

Auto-TLDR; Adversarial Attacks on Scene Text Recognition
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Object Detection on Monocular Images with Two-Dimensional Canonical Correlation Analysis
Zifan Yu,
Suya You
Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.2

Auto-TLDR; Multi-Task Object Detection from Monocular Images Using Multimodal RGB and Depth Data
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F-Mixup: Attack CNNs from Fourier Perspective
Xiu-Chuan Li,
Xu-Yao Zhang,
Fei Yin,
Cheng-Lin Liu
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session PS T1.13

Auto-TLDR; F-Mixup: A novel black-box attack in frequency domain for deep neural networks
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Adversarially Training for Audio Classifiers
Raymel Alfonso Sallo,
Mohammad Esmaeilpour,
Patrick Cardinal
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 16:30 in
session PS T1.8

Auto-TLDR; Adversarially Training for Robust Neural Networks against Adversarial Attacks
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Task-based Focal Loss for Adversarially Robust Meta-Learning
Yufan Hou,
Lixin Zou,
Weidong Liu
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session PS T1.14

Auto-TLDR; Task-based Adversarial Focal Loss for Few-shot Meta-Learner
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Zoom-CAM: Generating Fine-Grained Pixel Annotations from Image Labels
Xiangwei Shi,
Seyran Khademi,
Yunqiang Li,
Jan Van Gemert
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 16:00 in
session PS T1.16

Auto-TLDR; Zoom-CAM for Weakly Supervised Object Localization and Segmentation
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Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers
Yi Xiang Marcus Tan,
Yuval Elovici,
Alexander Binder
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Tue 12 Jan 2021 at 14:00 in
session OS T1.1

Auto-TLDR; Adaptive Stochastic Networks for Adversarial Attacks
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Tiny Object Detection in Aerial Images
Jinwang Wang,
Wen Yang,
Haowen Guo,
Ruixiang Zhang,
Gui-Song Xia
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Fri 15 Jan 2021 at 13:00 in
session OS T3.5

Auto-TLDR; Tiny Object Detection in Aerial Images Using Multiple Center Points Based Learning Network
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Detecting Objects with High Object Region Percentage
Fen Fang,
Qianli Xu,
Liyuan Li,
Ying Gu,
Joo-Hwee Lim
Track 3: Computer Vision Robotics and Intelligent Systems
Thu 14 Jan 2021 at 14:00 in
session PS T3.8

Auto-TLDR; Faster R-CNN for High-ORP Object Detection
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EAGLE: Large-Scale Vehicle Detection Dataset in Real-World Scenarios Using Aerial Imagery
Seyed Majid Azimi,
Reza Bahmanyar,
Corentin Henry,
Kurz Franz
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session OS T1.8

Auto-TLDR; EAGLE: A Large-Scale Dataset for Multi-class Vehicle Detection with Object Orientation Information in Airborne Imagery
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Defense Mechanism against Adversarial Attacks Using Density-Based Representation of Images
Yen-Ting Huang,
Wen-Hung Liao,
Chen-Wei Huang
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 12:00 in
session PS T1.3

Auto-TLDR; Adversarial Attacks Reduction Using Input Recharacterization
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Variational Inference with Latent Space Quantization for Adversarial Resilience
Vinay Kyatham,
Deepak Mishra,
Prathosh A.P.
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Thu 14 Jan 2021 at 12:00 in
session PS T1.9

Auto-TLDR; A Generalized Defense Mechanism for Adversarial Attacks on Data Manifolds
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Small Object Detection Leveraging on Simultaneous Super-Resolution
Hong Ji,
Zhi Gao,
Xiaodong Liu,
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Fri 15 Jan 2021 at 15:00 in
session PS T1.13

Auto-TLDR; Super-Resolution via Generative Adversarial Network for Small Object Detection
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Bidirectional Matrix Feature Pyramid Network for Object Detection
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Fri 15 Jan 2021 at 15:00 in
session PS T3.10

Auto-TLDR; BMFPN: Bidirectional Matrix Feature Pyramid Network for Object Detection
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Utilising Visual Attention Cues for Vehicle Detection and Tracking
Feiyan Hu,
Venkatesh Gurram Munirathnam,
Noel E O'Connor,
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Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; Visual Attention for Object Detection and Tracking in Driver-Assistance Systems
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FeatureNMS: Non-Maximum Suppression by Learning Feature Embeddings
Niels Ole Salscheider
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 16:30 in
session PS T3.5

Auto-TLDR; FeatureNMS: Non-Maximum Suppression for Multiple Object Detection
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Small Object Detection by Generative and Discriminative Learning
Yi Gu,
Jie Li,
Chentao Wu,
Weijia Jia,
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Wed 13 Jan 2021 at 12:00 in
session PS T3.4

Auto-TLDR; Generative and Discriminative Learning for Small Object Detection
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Future Urban Scenes Generation through Vehicles Synthesis
Alessandro Simoni,
Luca Bergamini,
Andrea Palazzi,
Simone Calderara,
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Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; Predicting the Future of an Urban Scene with a Novel View Synthesis Paradigm
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Beyond Cross-Entropy: Learning Highly Separable Feature Distributions for Robust and Accurate Classification
Arslan Ali,
Andrea Migliorati,
Tiziano Bianchi,
Enrico Magli
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Thu 14 Jan 2021 at 12:00 in
session PS T1.9

Auto-TLDR; Gaussian class-conditional simplex loss for adversarial robust multiclass classifiers
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Foreground-Focused Domain Adaption for Object Detection
Yuchen Yang,
Nilanjan Ray
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 15:00 in
session OS T1.8

Auto-TLDR; Unsupervised Domain Adaptation for Unsupervised Object Detection
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Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability
Mahmoud Hossam,
Le Trung,
He Zhao,
Dinh Phung
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 12:00 in
session PS T1.4

Auto-TLDR; Transfer2Attack: A Black-box Adversarial Attack on Text Classification
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Multi-View Object Detection Using Epipolar Constraints within Cluttered X-Ray Security Imagery
Brian Kostadinov Shalon Isaac-Medina,
Chris G. Willcocks,
Toby Breckon
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Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; Exploiting Epipolar Constraints for Multi-View Object Detection in X-ray Security Images
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Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
Daniele De Gregorio,
Riccardo Zanella,
Gianluca Palli,
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Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; Automated Deep Learning for Robotic Grasping Applications
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Attack Agnostic Adversarial Defense via Visual Imperceptible Bound
Saheb Chhabra,
Akshay Agarwal,
Richa Singh,
Mayank Vatsa
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Wed 13 Jan 2021 at 12:00 in
session PS T1.4

Auto-TLDR; Robust Adversarial Defense with Visual Imperceptible Bound
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A Delayed Elastic-Net Approach for Performing Adversarial Attacks
Brais Cancela,
Veronica Bolon-Canedo,
Amparo Alonso-Betanzos
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Wed 13 Jan 2021 at 14:00 in
session PS T1.5

Auto-TLDR; Robustness of ImageNet Pretrained Models against Adversarial Attacks
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Multiple-Step Sampling for Dense Object Detection and Counting
Zhaoli Deng,
Yang Chenhui
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 12:00 in
session PS T3.4

Auto-TLDR; Multiple-Step Sampling for Dense Objects Detection
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Construction Worker Hardhat-Wearing Detection Based on an Improved BiFPN
Chenyang Zhang,
Zhiqiang Tian,
Jingyi Song,
Yaoyue Zheng,
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Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 15:00 in
session PS T3.1

Auto-TLDR; A One-Stage Object Detection Method for Hardhat-Wearing in Construction Site
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Accuracy-Perturbation Curves for Evaluation of Adversarial Attack and Defence Methods
Jaka Šircelj,
Danijel Skocaj
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Fri 15 Jan 2021 at 16:00 in
session PS T1.15

Auto-TLDR; Accuracy-perturbation Curve for Robustness Evaluation of Adversarial Examples
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A Modified Single-Shot Multibox Detector for Beyond Real-Time Object Detection
Georgios Orfanidis,
Konstantinos Ioannidis,
Stefanos Vrochidis,
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Track 3: Computer Vision Robotics and Intelligent Systems
Tue 12 Jan 2021 at 17:00 in
session PS T3.3

Auto-TLDR; Single Shot Detector in Resource-Restricted Systems with Lighter SSD Variations
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Towards Explaining Adversarial Examples Phenomenon in Artificial Neural Networks
Ramin Barati,
Reza Safabakhsh,
Mohammad Rahmati
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Fri 15 Jan 2021 at 16:00 in
session PS T1.15

Auto-TLDR; Convolutional Neural Networks and Adversarial Training from the Perspective of convergence
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Detective: An Attentive Recurrent Model for Sparse Object Detection
Amine Kechaou,
Manuel Martinez,
Monica Haurilet,
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Fri 15 Jan 2021 at 16:00 in
session PS T3.11

Auto-TLDR; Detective: An attentive object detector that identifies objects in images in a sequential manner
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Attack-Agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Matthew Watson,
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Tue 12 Jan 2021 at 17:00 in
session PS T5.2

Auto-TLDR; Explainability-based Detection of Adversarial Samples on EHR and Chest X-Ray Data
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Fri 15 Jan 2021 at 15:00 in
session PS T1.13

Auto-TLDR; SFPN: Semantic Feature Pyramid Network to Address Information Dilution Issue in FPN
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Iterative Bounding Box Annotation for Object Detection
Bishwo Adhikari,
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Wed 13 Jan 2021 at 16:30 in
session PS T3.6

Auto-TLDR; Semi-Automatic Bounding Box Annotation for Object Detection in Digital Images
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Triplet-Path Dilated Network for Detection and Segmentation of General Pathological Images
Jiaqi Luo,
Zhicheng Zhao,
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Fri 15 Jan 2021 at 13:00 in
session OS T5.5

Auto-TLDR; Triplet-path Network for One-Stage Object Detection and Segmentation in Pathological Images
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Hierarchical Head Design for Object Detectors
Shivang Agarwal,
Frederic Jurie
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Wed 13 Jan 2021 at 16:30 in
session PS T3.5

Auto-TLDR; Hierarchical Anchor for SSD Detector
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Jiaqi Li,
Yanan Zhao,
Li Gao,
Feng Cui
Track 3: Computer Vision Robotics and Intelligent Systems
Fri 15 Jan 2021 at 15:00 in
session PS T3.10

Auto-TLDR; Pruning YOLOv3 with Batch Normalization for Autonomous Driving
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How Does DCNN Make Decisions?
Yi Lin,
Namin Wang,
Xiaoqing Ma,
Ziwei Li,
Gang Bai
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 12:00 in
session PS T1.3

Auto-TLDR; Exploring Deep Convolutional Neural Network's Decision-Making Interpretability
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Understanding Integrated Gradients with SmoothTaylor for Deep Neural Network Attribution
Gary Shing Wee Goh,
Sebastian Lapuschkin,
Leander Weber,
Wojciech Samek,
Alexander Binder
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Tue 12 Jan 2021 at 14:00 in
session OS T1.1

Auto-TLDR; SmoothGrad: bridging Integrated Gradients and SmoothGrad from the Taylor's theorem perspective
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Killing Four Birds with One Gaussian Process: The Relation between Different Test-Time Attacks
Kathrin Grosse,
Michael Thomas Smith,
Michael Backes
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 14:00 in
session PS T1.6

Auto-TLDR; Security of Gaussian Process Classifiers against Attack Algorithms
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MagnifierNet: Learning Efficient Small-Scale Pedestrian Detector towards Multiple Dense Regions
Qi Cheng,
Mingqin Chen,
Yingjie Wu,
Fei Chen,
Shiping Lin
Track 3: Computer Vision Robotics and Intelligent Systems
Wed 13 Jan 2021 at 12:00 in
session PS T3.4

Auto-TLDR; MagnifierNet: A Simple but Effective Small-Scale Pedestrian Detection Towards Multiple Dense Regions
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A Generalizable Saliency Map-Based Interpretation of Model Outcome
Shailja Thakur,
Sebastian Fischmeister
Track 1: Artificial Intelligence, Machine Learning for Pattern Analysis
Wed 13 Jan 2021 at 14:00 in
session PS T1.6

Auto-TLDR; Interpretability of Deep Neural Networks Using Salient Input and Output
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