WACV

Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles

Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh

Journal ref 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Modality Mixer for Multi-modal Action Recognition

Sumin Lee, Sangmin Woo, Yeonju Park, Muhammad Adi Nugroho, Changick Kim

Comments IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023

AudioViewer: Learning to Visualize Sounds

Chunjin Song, Yuchi Zhang, Willis Peng, Parmis Mohaghegh, Bastian Wandt, Helge Rhodin

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 2206-2216

The Impact of Racial Distribution in Training Data on Face Recognition Bias: A Closer Look

Manideep Kolla, Aravinth Savadamuthu

Comments 10 pages, 5 figures, Accepted at the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2023

Journal ref 2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Fine-grained Affordance Annotation for Egocentric Hand-Object Interaction Videos

Zecheng Yu, Yifei Huang, Ryosuke Furuta, Takuma Yagi, Yusuke Goutsu, Yoichi Sato

Comments WACV 2023. Refined version of Workshop article arXiv:2206.05424

The Fully Convolutional Transformer for Medical Image Segmentation

Athanasios Tragakis, Chaitanya Kaul, Roderick Murray-Smith, Dirk Husmeier

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3660-3669

Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing

Kyusik Cho, Suhyeon Lee, Hongje Seong, Euntai Kim

Comments WACV 2023

Efficient Flow-Guided Multi-frame De-fencing

Stavros Tsogkas, Fengjia Zhang, Allan Jepson, Alex Levinshtein

Comments 16 pages, 12 figures. Published at the Winter Conference on Application of Computer Vision (WACV) 2023

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023, pp. 1838-1847

Planar Object Tracking via Weighted Optical Flow

Jonas Serych, Jiri Matas

Comments WACV 2023

Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?

Antoine Vanderschueren, Christophe De Vleeschouwer

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3808-3817

Generative Colorization of Structured Mobile Web Pages

Kotaro Kikuchi, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi

Comments Accepted to WACV 2023

Dense Prediction with Attentive Feature Aggregation

Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu

Comments 20 pages, 14 figures, WACV 2023

Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training

Qi Feng, Kun He, He Wen, Cem Keskin, Yuting Ye

Comments IEEE WACV 2023 algorithms track. Code: https://github.com/facebookresearch/multi_view_active_learning

I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images

Jiwan Hur, Jae Young Lee, Jaehyun Choi, Junmo Kim

Comments WACV 2023

MixGen: A New Multi-Modal Data Augmentation

Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li

Comments First three authors contributed equally. Code are available at https://github.com/amazon-research/mix-generation. Oral presentation at WACV 2023 Pretraining Large Vision and Multimodal Models Workshop

HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image Segmentation

Moein Heidari, Amirhossein Kazerouni, Milad Soltany, Reza Azad, Ehsan Khodapanah Aghdam, Julien Cohen-Adad, Dorit Merhof

Comments The accepted version of the paper at WACV 2023

Journal ref WACV 2023

MonoEdge: Monocular 3D Object Detection Using Local Perspectives

Minghan Zhu, Lingting Ge, Panqu Wang, Huei Peng

Comments WACV 2023

Neural Distributed Image Compression with Cross-Attention Feature Alignment

Nitish Mital, Ezgi Ozyilkan, Ali Garjani, Deniz Gunduz

Comments 16 pages, 15 figures, presented in WACV 2023

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation

Aadarsh Sahoo, Rameswar Panda, Rogerio Feris, Kate Saenko, Abir Das

Comments Accepted to WACV 2023. Project page: https://cvir.github.io/projects/slm.html

Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning

Ukyo Honda, Taro Watanabe, Yuji Matsumoto

Comments WACV 2023 (19 pages, 9 figures; updated appendix)

Learning 3D Human Pose Estimation from Dozens of Datasets using a Geometry-Aware Autoencoder to Bridge Between Skeleton Formats

István Sárándi, Alexander Hermans, Bastian Leibe

Comments Accepted at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV'23)

CellTranspose: Few-shot Domain Adaptation for Cellular Instance Segmentation

Matthew Keaton, Ram Zaveri, Gianfranco Doretto

Comments Accepted in WACV 2023

Cross-Resolution Flow Propagation for Foveated Video Super-Resolution

Eugene Lee, Lien-Feng Hsu, Evan Chen, Chen-Yi Lee

Comments 12 pages, 8 figures, to appear in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023

Out-of-Distribution Detection with Reconstruction Error and Typicality-based Penalty

Genki Osada, Takahashi Tsubasa, Budrul Ahsan, Takashi Nishide

Comments Accepted at WACV 2023

Panoptic-aware Image-to-Image Translation

Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura

Comments In 2023 IEEE winter conference on applications of computer vision (WACV)

Dataset Condensation with Distribution Matching

Bo Zhao, Hakan Bilen

Journal ref Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision 2023 (WACV)

Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline

Hazem Rashed, Eslam Mohamed, Ganesh Sistu, Varun Ravi Kumar, Ciaran Eising, Ahmad El-Sallab, Senthil Yogamani

Comments Camera ready version. Accepted for presentation at Winter Conference on Applications of Computer Vision 2021. Dataset is shared at https://drive.google.com/drive/folders/1bobmY2wlIBozeU5ZgPfYPqVAnpPw4QrM

Image Segmentation-based Unsupervised Multiple Objects Discovery

Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

Comments WACV 2023

Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning

Ramya Hebbalaguppe, Rishabh Patra, Tirtharaj Dash, Gautam Shroff, Lovekesh Vig

Comments The paper is accepted at Winter Conference on applications of Computer Vision (IEEE WACV) in algorithms tracks. 8 pages Main paper; 3 pages supplementary material

ScanNeRF: a Scalable Benchmark for Neural Radiance Fields

Luca De Luigi, Damiano Bolognini, Federico Domeniconi, Daniele De Gregorio, Matteo Poggi, Luigi Di Stefano

Comments WACV 2023. The first three authors contributed equally. Project page: https://eyecan-ai.github.io/scannerf/