ICCV'23 Accepted Papers

Garding the Guardians: Automated Analysis of Online Child Sexual Abuse

• Juanita Puentes (Universidad de los Andes); Angela Castillo (Universidad de los Andes); Wilmar A Osejo (Aulas en paz); Yuly V Calderón (Universidad de los Andes); Viviana Quintero (Aulas en Paz); Diana M Agudelo (Universidad de los Andes); Lina Maria Saldarriaga (Aulas en Paz); Pablo Arbelaez (Universidad de los Andes)

Rapid Flood Inundation Forecast Using Fourier Neural Operator (Oral)

• Alexander Y Sun (The University of Texas at Austin); Zhi Li (University of Oklahoma); Wonhyun Lee (The University of Texas at Austin); Qixing Huang (The University of Texas at Austin); Bridget Scanlon (The University of Texas at Austin); Clint Dawson (The University of Texas at Austin)

Data Fusion of Post-disaster VHR Aerial Imagery and LiDAR Data for Roof Classification using Convolutional Neural Networks (Oral)

• Isabelle Tingzon (Climate Change AI); Nuala Margaret Cowan (The World Bank); Pierre Chrzanowski (The World Bank) 

Deep Learning Driven Detection of Tsunami Related Internal GravityWaves: a path towards open-ocean natural hazards detection

• Valentino Constantinou (Terran Orbital); Michela Ravanelli (Institut de Physique du Globe de Paris-Université Paris Cité); Jacob Bortnik (University of California - Atmospheric and Ocean Sciences); Hamlin Liu (University of California – Department of Computer Science)

TeleViT: Teleconnection-driven Transformers Improve Subseasonal to Seasonal Wildfire Forecasting (Oral + Best Paper Award)

• Ioannis Prapas (National Observatory of Athens); Nikolaos I Bountos (National Observatory of Athens); Spyros Kondylatos (National Observatory of Athens); Dimitrios Michail (Harokopio University of Athens); IOANNIS PAPOUTSIS (National Observatory of Athens); Gustau Camps-Valls (Universitat de València)

Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event (Oral)

• Caleb Robinson (Microsoft AI for Good Research Lab); Simone Fobi (Microsoft); Anthony Ortiz (Microsoft); Tina Sederholm (Microsoft); Rahul Dodhia (Microsoft); Cameron Birge (Microsoft); Kasie Richards (American Red Cross); Kris Pitcher (American Red Cross); Paulo Duarte (American Red Cross); Juan M Lavista Ferres (Microsoft)

FireFly: A Synthetic Dataset for Ember Detection in Wildfire

• Yue Hu (University of Southern California); Xinan Ye (University of Southern California); Yifei Liu (University of California Irvine); Souvik Kundu (University of Southern California); Gourav Datta (University of Southern California); Srikar Mutnuri (University of Southern California); Namo Asavisanu (University of Southern California); Nora Ayanian (Brown university ); Konstantinos Psounis (University of Southern California); Peter A. Beerel (University of Southern California)

Drones4Good: Supporting Disaster Relief Through Remote Sensing and AI

• Nina Merkle (German Aerospace Center (DLR)); Reza Bahmanyar (German Aerospace Center (DLR)); Corentin Henry (German Aerospace Center (DLR)); Seyed Majid Azimi (German Aerospace Center (DLR)); Xiangtian Yuan (German Aerospace Center (DLR)); Simon Schopferer (DLR); Veronika Gstaiger (German Aerospace Center (DLR)); Stefan Auer (German Aerospace Center (DLR)); Anne Schneibel ( German Aerospace Center (DLR)); Marc Wieland (German Aerospace Center (DLR)); Thomas Kraft ( German Aerospace Center (DLR))

Estimation of Human Condition at Disaster Site Using Aerial Drone Images

• Tomoki Arai (National Institute of Advanced Industrial Science and Technology (AIST)); Kenji Iwata (National Institute of Advanced Industrial Science and Technology (AIST)); Kensho Hara (National Institute of Advanced Industrial Science and Technology (AIST)); Yutaka Satoh (National Institute of Advanced Industrial Science and Technology (AIST))

Open Problems in Computer Vision for Wilderness SAR and The Search for Patricia Wu-Murad

• Thomas R Manzini (Texas A&M University); Robin R Murphy (Texas A&M University)