WACV 2022

406 papers

Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities

Changsheng Xu, Yang Wang, Fan Bai, Jihong Guan, Shuigeng Zhou

Fair Visual Recognition in Limited Data Regime Using Self-Supervision and Self-Distillation

Pratik Mazumder, Pravendra Singh, Vinay P. Namboodiri

Occlusion-Robust Object Pose Estimation With Holistic Representation

Bo Chen, Tat-jun Chin, Marius Klimavicius

Fully Convolutional Cross-Scale-Flows for Image-Based Defect Detection

Marco Rudolph, Tom Wehrbein, Bodo Rosenhahn, Bastian Wandt

Forgery Detection by Internal Positional Learning of Demosaicing Traces

Quentin Bammey, Rafael Grompone von Gioi, Jean-Michel Morel

Let There Be a Clock on the Beach: Reducing Object Hallucination in Image Captioning

Ali Furkan Biten, Lluis Gomez, Dimosthenis Karatzas

Lane-Level Street Map Extraction From Aerial Imagery

Songtao He, Hari Balakrishnan

Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation

Antonio Tavera, Fabio Cermelli, Carlo Masone, Barbara Caputo

Few-Shot Weakly-Supervised Object Detection via Directional Statistics

Amirreza Shaban, Amir Rahimi, Thalaiyasingam Ajanthan, Byron Boots, Richard Hartley

Dual-Head Contrastive Domain Adaptation for Video Action Recognition

Victor G. Turrisi da Costa, Giacomo Zara, Paolo Rota, Thiago Oliveira-Santos, Nicu Sebe

VCSeg: Virtual Camera Adaptation for Road Segmentation

Gong Cheng, James H. Elder

MovingFashion: A Benchmark for the Video-To-Shop Challenge

Marco Godi, Christian Joppi, Geri Skenderi, Marco Cristani

Sharing Decoders: Network Fission for Multi-Task Pixel Prediction

Steven Hickson, Karthik Raveendran, Irfan Essa

Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation

Weixuan Sun, Jing Zhang, Nick Barnes

Is an Image Worth Five Sentences? A New Look Into Semantics for Image-Text Matching

Ali Furkan Biten, Andres Mafla, Lluis Gomez, Dimosthenis Karatzas

Deep Optimization Prior for THz Model Parameter Estimation

Tak Ming Wong, Hartmut Bauermeister, Matthias Kahl, Peter Haring Bolívar, Michael Moller

Adversarial Robustness of Deep Sensor Fusion Models

Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik

Semantically Stealthy Adversarial Attacks Against Segmentation Models

Zhenhua Chen, Chuhua Wang, David Crandall

REFICS: A Step Towards Linking Vision With Hardware Assurance

Ronald Wilson, Hangwei Lu, Mengdi Zhu, Domenic Forte, Damon L. Woodard

All the Attention You Need: Global-Local, Spatial-Channel Attention for Image Retrieval

Chull Hwan Song, Hye Joo Han, Yannis Avrithis

Agree To Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations

Matthew Watson, Bashar Awwad Shiekh Hasan, Noura Al Moubayed

AE-StyleGAN: Improved Training of Style-Based Auto-Encoders

Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian

Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo

Francesco Sarno, Suryansh Kumar, Berk Kaya, Zhiwu Huang, Vittorio Ferrari

A Context-Enriched Satellite Imagery Dataset and an Approach for Parking Lot Detection

Yifang Yin, Wenmiao Hu, An Tran, Hannes Kruppa, Roger Zimmermann

edge-SR: Super-Resolution for the Masses

Pablo Navarrete Michelini, Yunhua Lu, Xingqun Jiang

What Makes for Effective Few-Shot Point Cloud Classification?

Chuangguan Ye, Hongyuan Zhu, Yongbin Liao, Yanggang Zhang, Tao Chen

MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition

Jiawei Chen, Chiu Man Ho

Contextual Gradient Scaling for Few-Shot Learning

Sanghyuk Lee, Seunghyun Lee, Byung Cheol Song

Deep Photo Scan: Semi-Supervised Learning for Dealing With the Real-World Degradation in Smartphone Photo Scanning

Man M. Ho, Jinjia Zhou

ADC: Adversarial Attacks Against Object Detection That Evade Context Consistency Checks

Mingjun Yin, Shasha Li, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury

Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving

Sudeep Fadadu, Shreyash Pandey, Darshan Hegde, Yi Shi, Fang-Chieh Chou

NUTA: Non-Uniform Temporal Aggregation for Action Recognition

Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Hao Chen

Single-Shot Dense Active Stereo With Pixel-Wise Phase Estimation Based on Grid-Structure Using CNN and Correspondence Estimation Using GCN

Ryo Furukawa, Michihiro Mikamo, Ryusuke Sagawa, Hiroshi Kawasaki

PERF-Net: Pose Empowered RGB-Flow Net

Yinxiao Li, Zhichao Lu, Xuehan Xiong, Jonathan Huang

Hessian-Aware Pruning and Optimal Neural Implant

Shixing Yu, Zhewei Yao, Amir Gholami, Zhen Dong, Sehoon Kim

Extractive Knowledge Distillation

Takumi Kobayashi

LwPosr: Lightweight Efficient Fine Grained Head Pose Estimation

Naina Dhingra

Spatial-Temporal Transformer for 3D Point Cloud Sequences

Yimin Wei, Hao Liu, Tingting Xie, Qiuhong Ke, Yulan Guo

MoESR: Blind Super-Resolution Using Kernel-Aware Mixture of Experts

Mohammad Emad, Maurice Peemen, Henk Corporaal

METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy

Izabela Horvath, Johannes Paetzold, Oliver Schoppe, Rami Al-Maskari, Ivan Ezhov

FalCon: Fine-Grained Feature Map Sparsity Computing With Decomposed Convolutions for Inference Optimization

Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang

Quantified Facial Expressiveness for Affective Behavior Analytics

Md Taufeeq Uddin, Shaun Canavan

Resource-Efficient Hybrid X-Formers for Vision

Pranav Jeevan, Amit Sethi

Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak

Latent to Latent: A Learned Mapper for Identity Preserving Editing of Multiple Face Attributes in StyleGAN-Generated Images

Siavash Khodadadeh, Shabnam Ghadar, Saeid Motiian, Wei-An Lin, Ladislau Boloni

Hierarchically Decoupled Spatial-Temporal Contrast for Self-Supervised Video Representation Learning

Zehua Zhang, David Crandall

The Hitchhiker's Guide to Prior-Shift Adaptation

Tomáš Šipka, Milan Sulc, Jiri Matas

Generative Adversarial Attack on Ensemble Clustering

Chetan Kumar, Deepak Kumar, Ming Shao

On the Maximum Radius of Polynomial Lens Distortion

Matthew J. Leotta, David Russell, Andrew Matrai

Disentangled Representation With Dual-Stage Feature Learning for Face Anti-Spoofing

Yu-Chun Wang, Chien-Yi Wang, Shang-Hong Lai

Multi-Dimensional Dynamic Model Compression for Efficient Image Super-Resolution

Zejiang Hou, Sun-Yuan Kung

Model Compression Using Optimal Transport

Suhas Lohit, Michael Jones

Approximate Neural Architecture Search via Operation Distribution Learning

Xingchen Wan, Binxin Ru, Pedro M. Esparança, Fabio Maria Carlucci

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation

Hankui Peng, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb

Fast and Efficient Restoration of Extremely Dark Light Fields

Mohit Lamba, Kaushik Mitra

Discovering Underground Maps From Fashion

Utkarsh Mall, Kavita Bala, Tamara Berg, Kristen Grauman

Evaluation of Correctness in Unsupervised Many-to-Many Image Translation

Dina Bashkirova, Ben Usman, Kate Saenko

PRECODE - A Generic Model Extension To Prevent Deep Gradient Leakage

Daniel Scheliga, Patrick Mader, Marco Seeland

Post-OCR Paragraph Recognition by Graph Convolutional Networks

Renshen Wang, Yasuhisa Fujii, Ashok C. Popat

Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo

Berk Kaya, Suryansh Kumar, Francesco Sarno, Vittorio Ferrari, Luc Van Gool

Predicting Levels of Household Electricity Consumption in Low-Access Settings

Simone Fobi, Joel Mugyenyi, Nathaniel J. Williams, Vijay Modi, Jay Taneja

Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation

Chin-Chia Tsai, Tsung-Hsuan Wu, Shang-Hong Lai

Unsupervised Sounding Object Localization With Bottom-Up and Top-Down Attention

Jiayin Shi, Chao Ma

From Node To Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection

Hui Nie, Ruiping Wang, Xilin Chen

Transfer Learning for Pose Estimation of Illustrated Characters

Shuhong Chen, Matthias Zwicker

Towards Class-Oriented Poisoning Attacks Against Neural Networks

Bingyin Zhao, Yingjie Lao

Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-Resolution

Andreas Lugmayr, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte

Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection

Shraman Pramanick, Aniket Roy, Vishal M. Patel

Image Restoration by Deep Projected GSURE

Shady Abu-Hussein, Tom Tirer, Se Young Chun, Yonina C. Eldar, Raja Giryes

Occlusion Resistant Network for 3D Face Reconstruction

Hitika Tiwari, Vinod K. Kurmi, K.S. Venkatesh, Yong-Sheng Chen

Shadow Art Revisited: A Differentiable Rendering Based Approach

Kaustubh Sadekar, Ashish Tiwari, Shanmuganathan Raman

Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis

Xiaoyu Xiang, Ding Liu, Xiao Yang, Yiheng Zhu, Xiaohui Shen

Learning to Weight Filter Groups for Robust Classification

Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin

Training a Task-Specific Image Reconstruction Loss

Aamir Mustafa, Aliaksei Mikhailiuk, Dan Andrei Iliescu, Varun Babbar, Rafał K. Mantiuk

Plugging Self-Supervised Monocular Depth Into Unsupervised Domain Adaptation for Semantic Segmentation

Adriano Cardace, Luca De Luigi, Pierluigi Zama Ramirez, Samuele Salti, Luigi Di Stefano

A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation

Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang

Rethinking Video Anomaly Detection - A Continual Learning Approach

Keval Doshi, Yasin Yilmaz

Matching and Recovering 3D People From Multiple Views

Alejandro Perez-Yus, Antonio Agudo

Beyond Mono to Binaural: Generating Binaural Audio From Mono Audio With Depth and Cross Modal Attention

Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma

Mobile Based Human Identification Using Forehead Creases: Application and Assessment Under COVID-19 Masked Face Scenarios

Rohit Bharadwaj, Gaurav Jaswal, Aditya Nigam, Kamlesh Tiwari

HierMatch: Leveraging Label Hierarchies for Improving Semi-Supervised Learning

Ashima Garg, Shaurya Bagga, Yashvardhan Singh, Saket Anand

Unveiling Real-Life Effects of Online Photo Sharing

Van-Khoa Nguyen, Adrian Popescu, Jérôme Deshayes-Chossart

Pixel-Level Bijective Matching for Video Object Segmentation

Suhwan Cho, Heansung Lee, Minjung Kim, Sungjun Jang, Sangyoun Lee

CeyMo: See More on Roads - A Novel Benchmark Dataset for Road Marking Detection

Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, Shenali Kariyawasam, Ranga Rodrigo

Multi-Motion and Appearance Self-Supervised Moving Object Detection

Fan Yang, Srikrishna Karanam, Meng Zheng, Terrence Chen, Haibin Ling

D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos

Christian Schmidt, Ali Athar, Sabarinath Mahadevan, Bastian Leibe

Distance-Based Hyperspherical Classification for Multi-Source Open-Set Domain Adaptation

Silvia Bucci, Francesco Cappio Borlino, Barbara Caputo, Tatiana Tommasi

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis

Nathan Drenkow, Neil Fendley, Philippe Burlina

Discrete Neural Representations for Explainable Anomaly Detection

Stanislaw Szymanowicz, James Charles, Roberto Cipolla

Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling

Hao Sun, Nick Pears, Yajie Gu

A Fast Partial Video Copy Detection Using KNN and Global Feature Database

Weijun Tan, Hongwei Guo, Rushuai Liu

On the Effectiveness of Small Input Noise for Defending Against Query-Based Black-Box Attacks

Junyoung Byun, Hyojun Go, Changick Kim

X-MIR: EXplainable Medical Image Retrieval

Brian Hu, Bhavan Vasu, Anthony Hoogs

The Untapped Potential of Off-the-Shelf Convolutional Neural Networks

Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen

Auditing Saliency Cropping Algorithms

Abeba Birhane, Vinay Uday Prabhu, John Whaley

F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling

Soufiane Belharbi, Aydin Sarraf, Marco Pedersoli, Ismail Ben Ayed, Luke McCaffrey

SBEVNet: End-to-End Deep Stereo Layout Estimation

Divam Gupta, Wei Pu, Trenton Tabor, Jeff Schneider

Few-Shot Open-Set Recognition of Hyperspectral Images With Outlier Calibration Network

Debabrata Pal, Valay Bundele, Renuka Sharma, Biplab Banerjee, Yogananda Jeppu

Non-Blind Deblurring for Fluorescence: A Deformable Latent Space Approach With Kernel Parameterization

Ziqiao Guan, Esther H. R. Tsai, Xiaojing Huang, Kevin G. Yager, Hong Qin

Generative Adversarial Graph Convolutional Networks for Human Action Synthesis

Bruno Degardin, João Neves, Vasco Lopes, João Brito, Ehsan Yaghoubi