WACV

From Generalized zero-shot learning to long-tail with class descriptors

Dvir Samuel, Yuval Atzmon, Gal Chechik

Comments Accepted to WACV 2021

CPM R-CNN: Calibrating Point-guided Misalignment in Object Detection

Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu

Comments Accepted to WACV 2021

Unsupervised Attention Based Instance Discriminative Learning for Person Re-Identification

Kshitij Nikhal, Benjamin S. Riggan

Comments WACV 2021

Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision

Xinshuo Weng, Shangxuan Wu, Fares Beainy, Kris Kitani

Comments published in WACV 2018. Author's homepage is http://www.xinshuoweng.com/publications.html

Revisiting Adaptive Convolutions for Video Frame Interpolation

Simon Niklaus, Long Mai, Oliver Wang

Comments WACV 2021, http://sniklaus.com/resepconv

Reducing the Annotation Effort for Video Object Segmentation Datasets

Paul Voigtlaender, Lishu Luo, Chun Yuan, Yong Jiang, Bastian Leibe

Comments Accepted at WACV 2021

DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation

Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring

Comments Accepted to IEEE WACV 2021

SuPEr-SAM: Using the Supervision Signal from a Pose Estimator to Train a Spatial Attention Module for Personal Protective Equipment Recognition

Adrian Sandru, Georgian-Emilian Duta, Mariana-Iuliana Georgescu, Radu Tudor Ionescu

Comments Accepted at WACV 2021

Structured Visual Search via Composition-aware Learning

Mert Kilickaya, Arnold W. M. Smeulders

Comments Accepted at WACV'21 (Algorithms Track)

DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction

Rodrigo Santa Cruz, Leo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado

Comments Accepted in 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Neural Puppet: Generative Layered Cartoon Characters

Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge Belongie

Comments WACV 2020

PI-Net: Pose Interacting Network for Multi-Person Monocular 3D Pose Estimation

Wen Guo, Enric Corona, Francesc Moreno-Noguer, Xavier Alameda-Pineda

Comments Accepted at WACV 2021

Noisy Concurrent Training for Efficient Learning under Label Noise

Fahad Sarfraz, Elahe Arani, Bahram Zonooz

Comments Accepted at IEEE Winter Conference on Applications of Computer Vision (WACV, 2021)

Red Carpet to Fight Club: Partially-supervised Domain Transfer for Face Recognition in Violent Videos

Yunus Can Bilge, Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis, Pinar Duygulu

Comments To appear in WACV 2021

A Flexible Selection Scheme for Minimum-Effort Transfer Learning

Amelie Royer, Christoph H. Lampert

Comments WACV 2020

Keypoint-Aligned Embeddings for Image Retrieval and Re-identification

Olga Moskvyak, Frederic Maire, Feras Dayoub, Mahsa Baktashmotlagh

Comments 8 pages, 7 figures, accepted to WACV 2021

Cross-Modality 3D Object Detection

Ming Zhu, Chao Ma, Pan Ji, Xiaokang Yang

Comments Accepted by WACV 2021

Multi-Modal Trajectory Prediction of NBA Players

Sandro Hauri, Nemanja Djuric, Vladan Radosavljevic, Slobodan Vucetic

Comments Accepted Paper at WACV 2021

Exploiting the Redundancy in Convolutional Filters for Parameter Reduction

Kumara Kahatapitiya, Ranga Rodrigo

Comments Accepted to be published in Proceedings of IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

TextCaps : Handwritten Character Recognition with Very Small Datasets

Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Jathushan Rajasegaran, Suranga Seneviratne, Ranga Rodrigo

Journal ref In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) (pp. 254-262). IEEE 2019

Answering Questions about Data Visualizations using Efficient Bimodal Fusion

Kushal Kafle, Robik Shrestha, Brian Price, Scott Cohen, Christopher Kanan

Comments Presented at WACV, 2020

Blended Convolution and Synthesis for Efficient Discrimination of 3D Shapes

Sameera Ramasinghe, Salman Khan, Nick Barnes, Stephen Gould

Comments 10 pages: corrected typos and added affiliations. The IEEE Winter Conference on Applications of Computer Vision. 2020

Learning Multimodal Representations for Unseen Activities

AJ Piergiovanni, Michael S. Ryoo

Journal ref WACV 2020

Similarity Learning Networks for Animal Individual Re-Identification -- Beyond the Capabilities of a Human Observer

Stefan Schneider, Graham W. Taylor, Stefan Linquist, Stefan C. Kremer

Comments 9 pages, 4 figures, 3 table. WACV 2020 - Deep Learning for Animal Re-ID Workshop

ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks

Rajat Saini, Nandan Kumar Jha, Bedanta Das, Sparsh Mittal, C. Krishna Mohan

Comments Accepted as a conference paper in 2020 IEEE Winter Conference on Applications of Computer Vision (WACV)

Journal ref WACV (2020) 1627-1636

Resisting Large Data Variations via Introspective Transformation Network

Yunhan Zhao, Ye Tian, Charless Fowlkes, Wei Shen, Alan Yuille

Comments camera-ready version, WACV 2020

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning

Mahesh Kumar Krishna Reddy, Mohammad Hossain, Mrigank Rochan, Yang Wang

Comments Accepted to WACV 2020

Generating Positive Bounding Boxes for Balanced Training of Object Detectors

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Comments To appear in WACV 20

The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation

Fanjie Kong, Bohao Huang, Kyle Bradbury, Jordan M. Malof

Comments Preprint of paper accepted for publication at Winter Conference on Applications of Computer Vision (WACV) 2020

Journal ref F. Kong, The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation, 2020, IEEE Winter Conference on Applications of Computer Vision (WACV)

Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy

Martin Weigert, Uwe Schmidt, Robert Haase, Ko Sugawara, Gene Myers

Comments Conference paper at WACV 2020