WACV

Rethinking Multimodal Content Moderation from an Asymmetric Angle with Mixed-modality

Jialin Yuan, Ye Yu, Gaurav Mittal, Matthew Hall, Sandra Sajeev, Mei Chen

Comments Accepted at WACV 2024

Revisiting Token Pruning for Object Detection and Instance Segmentation

Yifei Liu, Mathias Gehrig, Nico Messikommer, Marco Cannici, Davide Scaramuzza

Journal ref IEEE Winter Conference on Applications of Computer Vision (WACV 2024)

Beyond Classification: Definition and Density-based Estimation of Calibration in Object Detection

Teodora Popordanoska, Aleksei Tiulpin, Matthew B. Blaschko

Comments To appear at WACV 2024

NuScenes-MQA: Integrated Evaluation of Captions and QA for Autonomous Driving Datasets using Markup Annotations

Yuichi Inoue, Yuki Yada, Kotaro Tanahashi, Yu Yamaguchi

Comments Accepted at LLVM-AD Workshop @ WACV 2024

Image and AIS Data Fusion Technique for Maritime Computer Vision Applications

Emre Gülsoylu, Paul Koch, Mert Yıldız, Manfred Constapel, André Peter Kelm

Comments 10 pages, 3 figures. Author version of paper. Accepted for publication in The 2nd Workshop on Maritime Computer Vision at WACV

Correlation-aware active learning for surgery video segmentation

Fei Wu, Pablo Marquez-Neila, Mingyi Zheng, Hedyeh Rafii-Tari, Raphael Sznitman

Comments WACV 2024, 8 pages, 7 supplementary pages

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists' Intense Focus for Accurate CXR Diagnoses

Trong Thang Pham, Jacob Brecheisen, Anh Nguyen, Hien Nguyen, Ngan Le

Comments Accepted at WACV 2024

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation

Gavriel Habib, Noa Barzilay, Or Shimshi, Rami Ben-Ari, Nir Darshan

Comments Accepted to WACV 2024

Disentangled Pre-training for Image Matting

Yanda Li, Zilong Huang, Gang Yu, Ling Chen, Yunchao Wei, Jianbo Jiao

Comments Accepted by WACV 2024 as Oral presentation

Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment

Suhas Srinath, Shankhanil Mitra, Shika Rao, Rajiv Soundararajan

Comments Accepted to IEEE/CVF WACV 2024

Fixing Overconfidence in Dynamic Neural Networks

Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin

Comments In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024

Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection

Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh

Comments Accepted to WACV 2024

Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation

Qiuxiao Chen, Xiaojun Qi

Comments 8 pages, 5 figures, this paper has been accepted by and will be presented at the WACV 2024

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

Georg Krispel, David Schinagl, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof

Comments Accepted to WACV 2024, 16 pages

PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data

Roei Herzig, Ofir Abramovich, Elad Ben-Avraham, Assaf Arbelle, Leonid Karlinsky, Ariel Shamir, Trevor Darrell, Amir Globerson

Comments WACV 2024

Source-Free Domain Adaptation for RGB-D Semantic Segmentation with Vision Transformers

Giulia Rizzoli, Donald Shenaj, Pietro Zanuttigh

Comments WACV 2024, 2nd Workshop on Pretraining (WACVW)

Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data

Sai Aparna Aketi, Kaushik Roy

Comments 12 pages, 7 figures, 11 tables. arXiv admin note: text overlap with arXiv:2305.04792

Journal ref IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning

Udbhav Bamba, Neeraj Anand, Saksham Aggarwal, Dilip K. Prasad, Deepak K. Gupta

Comments Accepted at WACV 2023 Conference

You Can Run but not Hide: Improving Gait Recognition with Intrinsic Occlusion Type Awareness

Ayush Gupta, Rama Chellappa

Comments This work has been accepted to WACV 2024 as an Oral paper

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning

Vinay K Verma, Nikhil Mehta, Kevin J Liang, Aakansha Mishra, Lawrence Carin

Comments Accepted in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024. arXiv admin note: substantial text overlap with arXiv:2102.11856

Spiking Denoising Diffusion Probabilistic Models

Jiahang Cao, Ziqing Wang, Hanzhong Guo, Hao Cheng, Qiang Zhang, Renjing Xu

Comments Accepted by WACV 2024

Investigation of UAV Detection in Images with Complex Backgrounds and Rainy Artifacts

Adnan Munir, Abdul Jabbar Siddiqui, Saeed Anwar

Comments Accepted at the Real-World Surveillance Workshop, IEEE/CVF Winter Conference on Applications of Computer Vision 2024

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation

Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt

Comments Accepted to WACV 2024

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion

Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava

Comments WACV 2024. Project website: https://hywang66.github.io/mmist/

Few-shot Shape Recognition by Learning Deep Shape-aware Features

Wenlong Shi, Changsheng Lu, Ming Shao, Yinjie Zhang, Siyu Xia, Piotr Koniusz

Comments Accepted by WACV 2024; 8 pages for main paper

Learning to Compose SuperWeights for Neural Parameter Allocation Search

Piotr Teterwak, Soren Nelson, Nikoli Dryden, Dina Bashkirova, Kate Saenko, Bryan A. Plummer

Comments Accepted at IEEE Winter Conference on Applications of Computer Vision (WACV) 2024

Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning

Soumya Roy, Vinay K Verma, Deepak Gupta

Comments To be Appeared in WACV, 2024

Token Fusion: Bridging the Gap between Token Pruning and Token Merging

Minchul Kim, Shangqian Gao, Yen-Chang Hsu, Yilin Shen, Hongxia Jin

Comments To appear in WACV 2024

Linking convolutional kernel size to generalization bias in face analysis CNNs

Hao Liang, Josue Ortega Caro, Vikram Maheshri, Ankit B. Patel, Guha Balakrishnan

Comments WACV 2024

SICKLE: A Multi-Sensor Satellite Imagery Dataset Annotated with Multiple Key Cropping Parameters

Depanshu Sani, Sandeep Mahato, Sourabh Saini, Harsh Kumar Agarwal, Charu Chandra Devshali, Saket Anand, Gaurav Arora, Thiagarajan Jayaraman

Comments Accepted as an oral presentation at WACV 2024