Papers
Oral Session 1
Tuesday 28th May, 13:15 - 13:50
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Qi Bi (UvA), Shaodi You (UvA), Theo Gevers (UvA)How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa (UvA), Riccardo Valperga (UvA), David Knigge (UvA), Miltiadis Kofinas (UvA), Phillip Lippe (UvA), Jan-Jakob Sonke (NKI), Efstratios Gavves (UvA)Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Shreyasi Pathak (UTwente), Jörg Schlötterer (Phillips-University Marburg, University of Mannheim), Jeroen Veltman (Hospital Group Twente), Jeroen Geerdink (Hospital Group Twente), Maurice van Keulen, Christin Seifert (Phillips-University Marburg)ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du (UvA), Zehao Xiao (UvA), Shengcai Liao (IIAI), Cees Snoek (UvA)Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes (UvA), Mina Ghadimi Atigh (UvA), Martin Keller-Ressel (TU Dresden), Jeffrey Gu (Stanford), Serena Yeung (Stanford)BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis (TU Delft) and Hadi Jamali-Rad (TU Delft, Shell)Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
Vladimir Yugay (UvA), Yue Li (UvA), Theo Gevers (UvA), Martin R. Oswald (UvA)Narges Norouzi (TU/e), Svetlana Orlova (TU/e), Daan de Geus (TU/e), Gijs Dubbelman (TU/e)
Poster Session 1
Tuesday 28th May, 15:10 - 16:45
Learning Content-enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
Qi Bi (UvA), Shaodi You (UvA), Theo Gevers (UvA)How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa (UvA), Riccardo Valperga (UvA), David Knigge (UvA), Miltiadis Kofinas (UvA), Phillip Lippe (UvA), Jan-Jakob Sonke (NKI), Efstratios Gavves (UvA)Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and Challenges
Shreyasi Pathak (UTwente), Jörg Schlötterer (Phillips-University Marburg, University of Mannheim), Jeroen Veltman (Hospital Group Twente), Jeroen Geerdink (Hospital Group Twente), Maurice van Keulen, Christin Seifert (Phillips-University Marburg)ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du (UvA), Zehao Xiao (UvA), Shengcai Liao (IIAI), Cees Snoek (UvA)Hyperbolic Deep Learning in Computer Vision: A Survey
Pascal Mettes (UvA), Mina Ghadimi Atigh (UvA), Martin Keller-Ressel (TU Dresden), Jeffrey Gu (Stanford), Serena Yeung (Stanford)BECLR: Batch Enhanced Contrastive Few-Shot Learning
Stylianos Poulakakis-Daktylidis (TU Delft) and Hadi Jamali-Rad (TU Delft, Shell)Gaussian-SLAM: Photo-realistic Dense SLAM with Gaussian Splatting
Vladimir Yugay (UvA), Yue Li (UvA), Theo Gevers (UvA), Martin R. Oswald (UvA)Narges Norouzi (TU/e), Svetlana Orlova (TU/e), Daan de Geus (TU/e), Gijs Dubbelman (TU/e)
Find the Cliffhanger: Multi-modal Trailerness in Soap Operas
Carlo Bretti (UvA), Pascal Mettes (UvA), Hendrik Vincent Koops (RTL), Daan Odijk (RTL), and Nanne van Noord (UvA)Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang (UvA), Hazel Doughty (Leiden University), Cees G.M. Snoek (UvA)Rita Pucci (Naturalis), Vincent J. Kalkman (Naturalis), Dan Stowell (Naturalis, Tilburg University)
Elucidating the Exposure Bias in Diffusion Models
Mang Ning (UU), Mingxiao Li (KU Leuven), Jianlin Su (Moonshot), Albert Ali Salah (UU), Itir Onal Ertugrul (UU)Video BagNet: Short Temporal Receptive Fields Increase Robustness in Long-Term Action Recognition
Ombretta Strafforello (TU Delft, TNO), Xin Liu (TU Delft), Klamer Schutte (TNO), Jan van Gemert (TU Delft)Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Miltiadis Kofinas (UvA), Boris Knyazev (Samsung), Yan Zhang (Samsung), Yunlu Chen (CMU), Gertjan J. Burghouts (TNO), Efstratios Gavves (UvA), Cees G. M. Snoek (UvA), David W. Zhang (UvA)Tim J. Schoonbeek (TU/e), Tim Houben (TU/e), Hans Onvlee (ASML), Peter H.N (TU/e). de With, Fons van der Sommen (TU/e)
Human-centric anomaly recognition in real-world complex events
Xin Yuan (UTwente), Estefanía Talavera Martínez (UTwente)Unlocking Spatial Comprehension in Text-to-Image Diffusion Models
Mohammad Mahdi Derakhshani (UvA), Menglin Xia (Microsoft), Harkirat Behl (Microsoft), Cees G. M. Snoek (UvA), Victor Rühle (Microsoft)Enhancing Manufacturing Quality Assurance: Deep Learning Techniques for Missing/Wrong Part Object Detection in Assembly Processes.
Betsy Villa Brochero (UTwente), Estefania Talavera (UTwente), Ian Gibson (UTwente)HyperICaRL: Continual hyperbolic learning of visual instances
Melika Ayoughi (UvA), Mina Ghadimiatigh (UvA), Mohammad Mehdi Derakhshani (UvA), Cees Snoek (UvA), Paul Groth (UvA), Pascal Mettes (UvA)Physics-Guided and Training-Free Diffusion for Controlling Illumination Conditions in Images
Xiaoyan Xing (UvA), Tao Hu (LMU), Konrad Groh (Bosch), Jan Hendrick Matezen (Bosch), Sezer Karaoglu (UvA), Theo Gevers (UvA)GO4Align: Group Optimization for Multi-Task Alignment
Jiayi Shen (UvA), Cheems Wang (Tsinghua University, Kaiyuan Mathematical Sciences Institute), Zehao Xiao (UvA), Nanne Van Noord (UvA), Marcel Worring (UvA)Conversational Image Search Meets Interactive Multimodal Learning: Teaching a New Dog Old Tricks
Hongyi Zhu (UvA), Jia-Hong Huang (UvA), Stevan Rudinac (UvA), Evangelos Kanoulas (UvA)Oral Session 2
Wednesday 29th May, 10:15 - 10:45
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao (UvA), Jiayi Shen (UvA), Mohammad Mahdi Derakhshani (UvA), Shengcai Liao (Core42), Cees G. M. Snoek (UvA)Puru Vaish (UTwente), Shunxin Wang (UTwente), Nicola Strisciuglio (UTwente)
Task-aligned Part-aware Panoptic Segmentation using Joint Object-Part Representations
Daan de Geus (TU/e), Gijs Dubbelman (TU/e)PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
Michael Dorkenwald (UvA), Nimrod Barazani (UvA), Cees G. M. Snoek (UvA), Yuki M Asano (UvA)Color Equivariant Convolutional Networks
Attila Lengyel (TU Delft), Ombretta Strafforello (TU Delft), Robert-Jan Bruintjes (TU Delft), Alexander Gielisse (TU Delft), Jan van Gemert (TU Delft)Context Diffusion: In-Context Aware Image Generation
Ivona Najdenkoska (UvA), Animesh Sinha (Meta), Abhimanyu Dubey (Meta), Dhruv Mahajan (Meta), Vignesh Ramanathan (Meta), Filip Radenovic (Meta)Poster Session 2
Wednesday 29th May, 11:00 - 12:00
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao (UvA), Jiayi Shen (UvA), Mohammad Mahdi Derakhshani (UvA), Shengcai Liao (Core42), Cees G. M. Snoek (UvA)Puru Vaish (UTwente), Shunxin Wang (UTwente), Nicola Strisciuglio (UTwente)
Task-aligned Part-aware Panoptic Segmentation using Joint Object-Part Representations
Daan de Geus (TU/e), Gijs Dubbelman (TU/e)PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs
Michael Dorkenwald (UvA), Nimrod Barazani (UvA), Cees G. M. Snoek (UvA), Yuki M Asano (UvA)Color Equivariant Convolutional Networks
Attila Lengyel (TU Delft), Ombretta Strafforello (TU Delft), Robert-Jan Bruintjes (TU Delft), Alexander Gielisse (TU Delft), Jan van Gemert (TU Delft)Context Diffusion: In-Context Aware Image Generation
Ivona Najdenkoska (UvA), Animesh Sinha (Meta), Abhimanyu Dubey (Meta), Dhruv Mahajan (Meta), Vignesh Ramanathan (Meta), Filip Radenovic (Meta)How to Benchmark Vision Foundation Models for Semantic Segmentation?
Tommie Kerssies, Daan de Geus, Gijs DubbelmanLearning Generalized Segmentation for Foggy-scenes by Bi-directional Wavelet Guidance
Qi Bi (UvA), Shaodi You (UvA), Theo Gevers (UvA)Automated Camera Calibration via Homography Estimation with GNNs
Giacomo D'Amicantonio (TU/e), Egor Bondarev (TU/e), Peter H.N. De With (TU/e)Balanced Hyperbolic Learning Improves Your Out-of-Distribution Detector
Tejaswi Kasarla (UvA), Max van Spengler (UvA), Pascal Mettes (UvA)Automatic Wagon Code Identification using Computer Vision
Melissa Tijink (UTwente), Estefanía Talavera Martínez (UTwente), Luuk Spreeuwers (UTwente), Nicola Strisciuglio (UTwente)Advancing 6-DoF Instrument Pose Estimation in Variable X-Ray Imaging Geometries
Christiaan G. A. Viviers (TU/e), Lena Filatova (Phillips), Maurice Termeer (Phillips), Peter H. N. de With (TU/e), Fons van der Sommen (TU/e)We thank the NCCV 2024 sponsors:
