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WACV 2022

406 papers

Hyper-Convolution Networks for Biomedical Image Segmentation

Tianyu Ma, Adrian V. Dalca, Mert R. Sabuncu

A Riemannian Framework for Analysis of Human Body Surface

Emery Pierson, Mohamed Daoudi, Alice-Barbara Tumpach

Geometrically Adaptive Dictionary Attack on Face Recognition

Junyoung Byun, Hyojun Go, Changick Kim

EZCrop: Energy-Zoned Channels for Robust Output Pruning

Rui Lin, Jie Ran, Dongpeng Wang, King Hung Chiu, Ngai Wong

To Miss-Attend Is to Misalign! Residual Self-Attentive Feature Alignment for Adapting Object Detectors

Vaishnavi Khindkar, Chetan Arora, Vineeth N Balasubramanian, Anbumani Subramanian, Rohit Saluja

Self-Supervised Video Representation Learning With Cross-Stream Prototypical Contrasting

Martine Toering, Ioannis Gatopoulos, Maarten Stol, Vincent Tao Hu

EdgeConv With Attention Module for Monocular Depth Estimation

Minhyeok Lee, Sangwon Hwang, Chaewon Park, Sangyoun Lee

Data InStance Prior (DISP) in Generative Adversarial Networks

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian

Tensor-Based Non-Rigid Structure From Motion

Stella Graßhof, Sami Sebastian Brandt

Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation

Ziwen Li, Bo Xu, Han Huang, Cheng Lu, Yandong Guo

Improving Fractal Pre-Training

Connor Anderson, Ryan Farrell

Lightweight Monocular Depth With a Novel Neural Architecture Search Method

Lam Huynh, Phong Nguyen, Jiri Matas, Esa Rahtu, Janne Heikkila

SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen

Single-Photon Camera Guided Extreme Dynamic Range Imaging

Yuhao Liu, Felipe Gutierrez-Barragan, Atul Ingle, Mohit Gupta, Andreas Velten

MEGAN: Memory Enhanced Graph Attention Network for Space-Time Video Super-Resolution

Chenyu You, Lianyi Han, Aosong Feng, Ruihan Zhao, Hui Tang

Transferable 3D Adversarial Textures Using End-to-End Optimization

Camilo Pestana, Naveed Akhtar, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian

Measuring Hidden Bias Within Face Recognition via Racial Phenotypes

Seyma Yucer, Furkan Tektas, Noura Al Moubayed, Toby P. Breckon

MaskSplit: Self-Supervised Meta-Learning for Few-Shot Semantic Segmentation

Mustafa Sercan Amac, Ahmet Sencan, Bugra Baran, Nazli Ikizler-Cinbis, Ramazan Gokberk Cinbis

MTGLS: Multi-Task Gaze Estimation With Limited Supervision

Shreya Ghosh, Munawar Hayat, Abhinav Dhall, Jarrod Knibbe

Modeling Dynamic Target Deformation in Camera Calibration

Annika Hagemann, Moritz Knorr, Christoph Stiller

Meta-Learning for Multi-Label Few-Shot Classification

Christian Simon, Piotr Koniusz, Mehrtash Harandi

YOLO-ReT: Towards High Accuracy Real-Time Object Detection on Edge GPUs

Prakhar Ganesh, Yao Chen, Yin Yang, Deming Chen, Marianne Winslett

TA-Net: Topology-Aware Network for Gland Segmentation

Haotian Wang, Min Xian, Aleksandar Vakanski

CoordiNet: Uncertainty-Aware Pose Regressor for Reliable Vehicle Localization

Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle

Fusion Point Pruning for Optimized 2D Object Detection With Radar-Camera Fusion

Lukas Stäcker, Philipp Heidenreich, Jason Rambach, Didier Stricker

PoP-Net: Pose Over Parts Network for Multi-Person 3D Pose Estimation From a Depth Image

Yuliang Guo, Zhong Li, Zekun Li, Xiangyu Du, Shuxue Quan

Interpretable Semantic Photo Geolocation

Jonas Theiner, Eric Muller-Budack, Ralph Ewerth

How and What To Learn: Taxonomizing Self-Supervised Learning for 3D Action Recognition

Amor Ben Tanfous, Aimen Zerroug, Drew Linsley, Thomas Serre

Shape-Coded ArUco: Fiducial Marker for Bridging 2D and 3D Modalities

Lilika Makabe, Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita

Geometry-Inspired Top-K Adversarial Perturbations

Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

DAD: Data-Free Adversarial Defense at Test Time

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Multi-Domain Semantic Segmentation With Overlapping Labels

Petra Bevandic, Marin Orsic, Ivan Grubišić, Josip Saric, Siniša Šegvić

Multi-Stream Dynamic Video Summarization

Mohamed Elfeki, Liqiang Wang, Ali Borji

Spatiotemporal Initialization for 3D CNNs With Generated Motion Patterns

Hirokatsu Kataoka, Kensho Hara, Ryusuke Hayashi, Eisuke Yamagata, Nakamasa Inoue

Perceptual Consistency in Video Segmentation

Yizhe Zhang, Shubhankar Borse, Hong Cai, Ying Wang, Ning Bi

Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso, Barbara Caputo, Fabio Maria Carlucci

Learning From the CNN-Based Compressed Domain

Zhenzhen Wang, Minghai Qin, Yen-Kuang Chen

Cross-Modal Adversarial Reprogramming

Paarth Neekhara, Shehzeen Hussain, Jinglong Du, Shlomo Dubnov, Farinaz Koushanfar

Self-Supervised Shape Alignment for Sports Field Registration

Feng Shi, Paul Marchwica, Juan Camilo Gamboa Higuera, Michael Jamieson, Mehrsan Javan

Learning To Reconstruct 3D Non-Cuboid Room Layout From a Single RGB Image

Cheng Yang, Jia Zheng, xili dai, Rui Tang, Yi Ma

Seeing Implicit Neural Representations As Fourier Series

Nuri Benbarka, Timon Höfer, Hamd ul-Moqeet Riaz, Andreas Zell

MUGL: Large Scale Multi Person Conditional Action Generation With Locomotion

Shubh Maheshwari, Debtanu Gupta, Ravi Kiran Sarvadevabhatla

Hole-Robust Wireframe Detection

Naejin Kong, Kiwoong Park, Harshith Goka

Data Augmented 3D Semantic Scene Completion With 2D Segmentation Priors

Aloisio Dourado, Frederico Guth, Teofilo de Campos

Robust Lane Detection via Expanded Self Attention

Minhyeok Lee, Junhyeop Lee, Dogyoon Lee, Woojin Kim, Sangwon Hwang

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild

Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang

Hierarchical Proxy-Based Loss for Deep Metric Learning

Zhibo Yang, Muhammet Bastan, Xinliang Zhu, Douglas Gray, Dimitris Samaras

Efficient Counterfactual Debiasing for Visual Question Answering

Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otávio Parraga

Multi-Task Classification of Sewer Pipe Defects and Properties Using a Cross-Task Graph Neural Network Decoder

Joakim Bruslund Haurum, Meysam Madadi, Sergio Escalera, Thomas B. Moeslund

Multi-Domain Incremental Learning for Semantic Segmentation

Prachi Garg, Rohit Saluja, Vineeth N Balasubramanian, Chetan Arora, Anbumani Subramanian

Single Image Object Counting and Localizing Using Active-Learning

Inbar Huberman-Spiegelglas, Raanan Fattal

Digital and Physical-World Attacks on Remote Pulse Detection

Jeremy Speth, Nathan Vance, Patrick Flynn, Kevin W. Bowyer, Adam Czajka

FT-DeepNets: Fault-Tolerant Convolutional Neural Networks With Kernel-Based Duplication

Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Raj Rajkumar

DG-Labeler and DGL-MOTS Dataset: Boost the Autonomous Driving Perception

Yiming Cui, Zhiwen Cao, Yixin Xie, Xingyu Jiang, Feng Tao

Self-Supervised Learning of Domain Invariant Features for Depth Estimation

Hiroyasu Akada, Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka

Self-Supervised Test-Time Adaptation on Video Data

Fatemeh Azimi, Sebastian Palacio, Federico Raue, Jörn Hees, Luca Bertinetto

ForeSI: Success-Aware Visual Navigation Agent

Mahdi Kazemi Moghaddam, Ehsan Abbasnejad, Qi Wu, Javen Qinfeng Shi, Anton van den Hengel

Monocular Depth Estimation With Adaptive Geometric Attention

Taher Naderi, Amir Sadovnik, Jason Hayward, Hairong Qi

Auto White-Balance Correction for Mixed-Illuminant Scenes

Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown

Facial Attribute Transformers for Precise and Robust Makeup Transfer

Zhaoyi Wan, Haoran Chen, Jie An, Wentao Jiang, Cong Yao