WACV

Multi Receptive Field Network for Semantic Segmentation

Jianlong Yuan, Zelu Deng, Shu Wang, Zhenbo Luo

Comments Accept by WACV 2020

PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch

Ke Xu, Yao Xiao, Zhaoheng Zheng, Kaijie Cai, Ram Nevatia

Comments Accepted to WACV 2023

Instance-Dependent Noisy Label Learning via Graphical Modelling

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro

Comments Accepted at WACV 2023

Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond

Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang

Comments IEEE WACV 2023, Github: PRL" target="_blank" rel="noopener">https://github.com/WesleyHsieh0806/SS-PRL

SoMoFormer: Multi-Person Pose Forecasting with Transformers

Edward Vendrow, Satyajit Kumar, Ehsan Adeli, Hamid Rezatofighi

Comments 10 pages, 6 figures. Submitted to WACV 2023. Our method was submitted to the SoMoF benchmark leaderboard dated March 2022. See https://somof.stanford.edu/result/217/

SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search

Zhewen Yu, Christos-Savvas Bouganis

Comments Accepted at WACV 2023

BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary Camera Rigs

Lang Peng, Zhirong Chen, Zhangjie Fu, Pengpeng Liang, Erkang Cheng

Comments Accepted at the IEEE Winter Conference on Applications of Computer Vision, WACV 2023

DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction

Bo Zhou, Neel Dey, Jo Schlemper, Seyed Sadegh Mohseni Salehi, Chi Liu, James S. Duncan, Michal Sofka

Comments Accepted at WACV 2023

Estimating Image Depth in the Comics Domain

Deblina Bhattacharjee, Martin Everaert, Mathieu Salzmann, Sabine Süsstrunk

Comments Accepted to WACV 2022 : Winter Conference on Applications of Computer Vision

Geometry-Inspired Top-k Adversarial Perturbations

Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

Comments WACV 2022

Journal ref 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks

Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee

Comments WACV 2022

Unsupervised Learning for Human Sensing Using Radio Signals

Tianhong Li, Lijie Fan, Yuan Yuan, Dina Katabi

Comments WACV 2022. The first three authors contributed equally to this paper

RLSS: A Deep Reinforcement Learning Algorithm for Sequential Scene Generation

Azimkhon Ostonov, Peter Wonka, Dominik L. Michels

Comments Accepted at the IEEE Winter Conference on Applications of Computer Vision, WACV 2022

Journal ref 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 2723-2732

Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?

Megh Shukla

Comments Accepted: WACV 2022, Algorithms track

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

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

Comments Accepted to 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2022)

Knowledge-Augmented Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop

Yan Han, Chongyan Chen, Ahmed Tewfik, Benjamin Glicksberg, Ying Ding, Yifan Peng, Zhangyang Wang

Comments Accepted by WACV 2022

Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition

Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo

Comments Accepted at WACV 2022. arXiv admin note: substantial text overlap with arXiv:2106.01689

Measuring Hidden Bias within Face Recognition via Racial Phenotypes

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

Comments published in IEEE Winter Conference on Applications of Computer Vision, WACV, 2022

GraN-GAN: Piecewise Gradient Normalization for Generative Adversarial Networks

Vineeth S. Bhaskara, Tristan Aumentado-Armstrong, Allan Jepson, Alex Levinshtein

Comments WACV 2022 Main Conference Paper (Submitted: 18 Aug 2021, Accepted: 4 Oct 2021)

Journal ref 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022, pp. 2432-2441

DAD: Data-free Adversarial Defense at Test Time

Gaurav Kumar Nayak, Ruchit Rawal, Anirban Chakraborty

Comments WACV 2022. Project page: https://sites.google.com/view/dad-wacv22

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity

Tejan Karmali, Abhinav Atrishi, Sai Sree Harsha, Susmit Agrawal, Varun Jampani, R. Venkatesh Babu

Comments WACV 2022. Project Page at http://sites.google.com/view/lead-wacv22

Powerful Physical Adversarial Examples Against Practical Face Recognition Systems

Inderjeet Singh, Toshinori Araki, Kazuya Kakizaki

Comments Accepted at IEEE/CVF WACV 2022 MAP

Uncertainty in Model-Agnostic Meta-Learning using Variational Inference

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

Comments Revise Experiments by adding regression quantile calibration and re-running classification calibration under the same setting

Journal ref IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2020, pp. 3090-3100

Temporally stable video segmentation without video annotations

Aharon Azulay, Tavi Halperin, Orestis Vantzos, Nadav Borenstein, Ofir Bibi

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 3449-3458. 2022

PPCD-GAN: Progressive Pruning and Class-Aware Distillation for Large-Scale Conditional GANs Compression

Duc Minh Vo, Akihiro Sugimoto, Hideki Nakayama

Comments accepted at WACV 2022

Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors

Xinhua Zhang, Lance R. Williams

Comments 9 pages, 5 figures

Journal ref 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, pp. 303-311

Learnable Adaptive Cosine Estimator (LACE) for Image Classification

Joshua Peeples, Connor McCurley, Sarah Walker, Dylan Stewart, Alina Zare

Comments Accepted to WACV 2022; 14 pages (including appendix), 3 figures

Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification

Hongzhi Zhu, Septimiu Salcudean, Robert Rohling

Comments This manuscript was submitted to WACV 2022 on Aug. 18, 2021

Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning

Abdullah Abuolaim, Mahmoud Afifi, Michael S. Brown

Comments Published in the Winter Conference on Applications of Computer Vision 2022 (WACV'22)

LwPosr: Lightweight Efficient Fine-Grained Head Pose Estimation

Naina Dhingra

Comments 11 pages, 3 figures

Journal ref In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1495-1505), 2022