Publications

2025

  1. Nick Fischer, Ce Jin, Yinzhan Xu.
    New Applications of 3SUM-Counting in Fine-Grained Complexity and Pattern Matching
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  2. Nick Fischer
    Sumsets, 3SUM, Subset Sum: Now for Real!
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  3. Amir Abboud, Nick Fischer, Ron Safier, Nathan Wallheimer
    Recognizing Sumsets is NP-Complete
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  4. Karl Bringmann, Nick Fischer, Vasileios Nakos,
    Beating Bellman’s Algorithm for Subset Sum
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  5. Bernhard Haeupler, Jonas Huebotter, Mohsen Ghaffari
    A Cut-Matching Game for Constant-Hop Expanders
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  6. Bernhard Haeupler, Richard Hladík, John Iacono, Vaclav Rozhon, Robert Tarjan, Jakub Tětek Fast and Simple Sorting Using Partial Information
    In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025)
  7. Christian Janos Lebeda and Jakub Tetek
    Testing Identity of Continuous Distributions in Polylogarithmic Space
    In: SIAM Symposium on Simplicity in Algorithms (SOSA 2025)
  8. Nick Fischer, Bernhard Haeupler, Rustam Latypov, Antti Roeyskoe and Aurelio Sulser
    A Simple Parallel Algorithm with Near-Linear Work for Negative-Weight
    In: SIAM Symposium on Simplicity in Algorithms (SOSA 2025)
  9. Shyan Akmal, Tomohiro Koana Faster Edge Coloring by Partition Sieving
    In: 42nd International Symposium on Theoretical Aspects of Computer Science (STACS 2025)
  10. Maria Drencheva, Ivo Petrov, Maximilian Baader, Dimitar I. Dimitrov, Martin Vechev
    GRAIN: Exact Graph Reconstruction from Gradients
    In: International Conference on Learning Representations (ICLR 2025)
  11. Jiancheng Pan, Yanxing Liu, Yuqian Fu, Muyuan Ma, Jiahao Li, Danda Pani Paudel, Luc Van Gool, Xiaomeng Huang
    Locate Anything on Earth: Advancing Open-Vocabulary Object Detection for Remote Sensing Community
    In: AAAI Conference on Artificial Intelligence 2025
  12. Tim Broedermann, Christos Sakaridis, Yuqian Fu, Luc Van Gool
    CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving Scenes
    In: The IEEE Robotics and Automation Letters (RA-L)
  13. Mengya Liu, Siyuan Li, Ajad Chhatkuli, Prune Truong, Luc Van Gool, Federico Tombari
    One2Any: One-Reference 6D Pose Estimation for Any Object
    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  14. Sean Wu, Shamik Basu, Tim Broedermann, Luc Van Gool, Christos Sakaridis
    PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields
    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  15. Lucas Morin, Valéry Weber, Ahmed Nassar, Gerhard Ingmar Meijer, Luc Van Gool, Yawei Li, Peter Staar
    MarkushGrapher: Joint Visual and Textual Recognition of Markush Structures
    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  16. Luigi Piccinelli, Christos Sakaridis, Mattia Segu, Yung-Hsu Yang, Siyuan Li, Wim Abbeloos, Luc Van Gool
    UniK3D: Universal Camera Monocular 3D Estimation
    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
  17. M. Eren Akbiyik, Nedko Savov, Danda Pani Paudel, Nikola Popovic, Christian Vater, Otmar Hilliges, Luc Van Gool, Xi Wang
    Leveraging Driver Field-of-View for Multimodal Ego-Trajectory Prediction
    In: The International Conference on Learning Representations (ICLR 2025)
  18. Nedko Savov, Naser Kazemi, Mohammad Mahdi, Danda Pani Paudel, Xi Wang, Luc Van Gool
    Exploration-Driven Generative Interactive Environments
    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

2024

  1. Reni Paskaleva, Mykyta Holubakha, Andela Ilic, Saman Motamed, Luc Van Gool, Danda Paudel
    A Unified and Interpretable Emotion Representation and Expression Generation.
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  2. Zongwei Wu, Jilai Zheng, Xiangxuan Ren, Florin-Alexandru Vasluianu, Chao Ma, Danda Paudel, Luc Van Gool, Radu Timofte
    Single-Model and Any-Modality for Video Object Tracking
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  3. Qi Ma, Danda Paudel, Ajad Chhatkuli, Luc Van Gool
    Continuous Pose for Monocular Cameras in Neural Implicit Representation
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  4. Zhicheng Zhang, Junyao Hu, Wentao Cheng, Danda Paudel, Jufeng Yang
    ExtDM: Dual Distribution Extrapolation Diffusion Model for Video Prediction
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  5. Jan-Nico Zaech, Martin Danelljan, Tolga Birdal, Luc Van Gool
    Probabilistic Sampling of Balanced K-Means using Adiabatic Quantum Computing
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  6. Jiezhang Cao, Yue Shi, Kai Zhang, Yulun Zhang, Radu Timofte, Luc Van Gool
    Deep Equilibrium Diffusion Restoration with Parallel Sampling
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  7. Rui Li, Tobias Fischer, Mattia Segu, Marc Pollefeys, Luc Van Gool, Federico Tombari
    Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language Reasoning
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  8. Wencan Cheng, Hao Tang, Luc Van Gool, Jong Hwan Ko
    HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  9. Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, Fisher Yu
    UniDepth: Universal Monocular Metric Depth Estimation
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  10. Razvan Pasca, Alexey Gavryushin, Muhammad Hamza, Yen-Ling Kuo, Kaichun Mo, Luc Van Gool, Otmar Hilliges, Xi Wang
    Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  11. Zhaochong An, Guolei Sun, Yun Liu, Fayao Liu, Zongwei Wu, Dan Wang, Luc Van Gool, Serge Belongie
    Rethinking Few-shot 3D Point Cloud Semantic Segmentation
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  12. Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, Luc Van Gool
    Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes.
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  13. Roman Flepp, Andrey Ignatov, Radu Timofte, Luc Van Gool
    Real-World Mobile Image Denoising Dataset with Efficient Baselines
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  14. Lorenzo Liso, Erik Sandström, Vladimir Yugay, Luc Van Gool, Martin R. Oswald
    Loopy-SLAM: Dense Neural SLAM with Loop Closures
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  15. Siyuan Li, Lei Ke, Martin Danelljan, Luigi Piccinelli, Mattia Segu, Luc Van Gool, Fisher Yu
    Matching Anything by Segmenting Anything
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  16. Zixiang Zhao, Haowen Bai, Jiangshe Zhang, Yulun Zhang, Kai Zhang, Shuang Xu, Dongdong Chen, Radu Timofte, Luc Van Gool
    Equivariant Multi-Modality Image Fusion
    In: Computer Vision and Pattern Recognition Conference (CVPR 2024)
  17. Nikita Tsoy, Anna Mihalkova, Teodora Todorova, Nikola Konstantinov
    Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
    In: Conference on Artificial Intelligence and Statistics (AISTATS 2024)
    Camera-ready version coming soon
  18. Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
    Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
    In: International Conference on Learning Representations (ICLR 2024)
  19. Junru Lin, Asen Nachkov, Songyou Peng, Luc Van Gool, Danda Pani Paudel Ternary-type Opacity and Hybrid Odometry for RGB-only NeRF-SLAM In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)
  20. Saman Motamed, Danda Pani Paudel, Luc Van Gool
    Lego: Learning to Disentangle and Invert Concepts Beyond Object Appearance in Text-to-Image Diffusion Models
    In: The European Conference on Computer Vision (ECCV 2024)
  21. Muhammad Ferjad Naeem, Yongqin Xian, Xiaohua Zhai, Lukas Hoyer, Luc Van Gool, Federico Tombari
    SILC: Improving Vision Language Pretraining with Self-Distillation
    In: The European Conference on Computer Vision (ECCV 2024)
  22. Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov
    DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control
    In: The European Conference on Computer Vision (ECCV 2024)
  23. Lukas Hoyer, David Joseph Tan, Muhammad Ferjad Naeem, Luc Van Gool, Federico Tombari SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance
    In: The European Conference on Computer Vision (ECCV 2024)
  24. Jingyun Liang, Yuchen Fan, Kai Zhang, Radu Timofte, Luc Van Gool, Rakesh Ranjan MoVideo: Motion-Aware Video Generation with Diffusion Models
    In: The European Conference on Computer Vision (ECCV 2024)
  25. Yuqian Fu, Yu Wang, Yixuan Pan, Lian Huai, Xingyu Qiu, Zeyu Shangguan, Tong Liu, Yanwei Fu, Luc Van Gool, Xingqun Jiang
    Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
    In: The European Conference on Computer Vision (ECCV 2024)
  26. Tim Brödermann, David Bruggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool
    MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
    In: The European Conference on Computer Vision (ECCV 2024)
  27. Daoji Huang, Otmar Hilliges, Luc Van Gool, Xi Wang Palm
    Predicting Actions through Language Models @ Ego4D Long-Term Action Anticipation Challenge 2023
    In: The European Conference on Computer Vision (ECCV 2024)
  28. Ada-Astrid Balauca, Danda Pani Paudel, Kristina Toutanova, Luc Van Gool
    Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits
    In: The European Conference on Computer Vision (ECCV 2024)
  29. Ozan Unal, Christos Sakaridis, Suman Saha, Luc Van Gool:
    Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding
    In: The European Conference on Computer Vision (ECCV 2024)
  30. Ozan Unal, Christos Sakaridis, Luc Van Gool
    Bayesian Self-Training for Semi-Supervised 3D Segmentation
    In: The European Conference on Computer Vision (ECCV 2024)
  31. Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
    MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation
    In: The European Conference on Computer Vision (ECCV 2024)
  32. Siyuan Li, Lei Ke, Yung-Hsu Yang, Luigi Piccinelli, Mattia Segù, Martin Danelljan, Luc Van Gool
    SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
    In: The European Conference on Computer Vision (ECCV 2024)
  33. Mattia Segu, Luigi Piccinelli, Siyuan Li, Luc Van Gool, Fisher Yu, Bernt Schiele
    Walker: Self-supervised Multiple Object Tracking by Walking on Temporal Object Appearance Graphs
    In: The European Conference on Computer Vision (ECCV 2024)
  34. Anton Alexandrov, Veselin Raychev, Mark Niklas Müller, Ce Zhang, Martin Vechev, Kristina Toutanova
    Mitigating Catastrophic Forgetting in Language Transfer via Model Merging
  35. Ce Liu, Suryansh Kumar, Shuhang Gu, Radu Timofte, Yao Yao, Luc Van Gool
    Stereo Risk: A Continuous Modeling Approach to Stereo Matching
    In: International Conference on Machine Learning (ICML 2024)
  36. Nikita Tsoy, Nikola Konstantinov
    Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
    In: International Conference on Machine Learning (ICML 2024)
  37. Yulun Zhang, Kai Zhang, Luc Van Gool, Martin Danelljan, Fisher Yu
    Lightweight Image Super-Resolution via Flexible Meta Pruning
    In: International Conference on Machine Learning (ICML 2024)
  38. Zixiang Zhao, Lilun Deng, Haowen Bai, Yukun Cui, Zhipeng Zhang, Yulun Zhang, Haotong Qin, Dongdong Chen, Jiangshe Zhang, Peng Wang, Luc Van Gool
    Image Fusion via Vision-Language Model
    In: International Conference on Machine Learning (ICML 2024)
  39. Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanović, Mark Vero, Velko Vechev, Anna Gueorguieva, Mislav Balunović, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin Vechev
    COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
  40. Bernhard Haeupler, Richard Hladík, Vaclav Rozhon, Robert E. Tarjan and Jakub Tětek Universal Optimality of Dijkstra via Beyond-Worst-Case Heaps
    In: IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS 2024)
  41. Bernhard Haeupler, Yaowei Long, Thatchaphol Saranurak
    Dynamic Deterministic Constant-Approximate Distance Oracles with 𝑛ϵ Worst-Case Update Time
    In: IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS 2024)
  42. Bernhard Haeupler, D Ellis Hershkowitz, Zihan Tan
    New Structures and Algorithms for Length-Constrained Expander Decompositions
    In: IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS 2024)
  43. Dominik Kempa, Tomasz Kociumaka
    Lempel-Ziv (LZ77) Factorization in Sublinear Time
    In: IEEE Symposium on Foundations of Computer Science (FOCS 2024)
  44. S. Narayanan, Vaclav Rozhoň, Jakub Tětek, Mikkel Thorup
    Instance-Optimality in I/O-Efficient Sampling and Sequential Estimation
    In: IEEE Symposium on Foundations of Computer Science (FOCS 2024)
  45. Hristo Venev, Timon Gehr, Dimitar Dimitrov, and Martin Vechev
    Modular Synthesis of Efficient Quantum Uncomputation
    In: Proceedings of the ACM on Programming Languages, Volume 8, Issue OOPSLA2, 2024
  46. Bin Ren, Yawei Li, Jingyun Liang, Rakesh Ranjan, Mengyuan Liu, Rita Cucchiara, Luc Van Gool, Ming-Hsuan Yang, Nicu Sebe
    Sharing Key Semantics in Transformer Makes Efficient Image Restoration
    In: Conference on Neural Information Processing Systems (NeurIPS 2024)
  47. Qi Ma, Danda Pani Paudel, Ender Konukoglu, Luc Van Gool
    Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes
    In: Conference on Neural Information Processing Systems (NeurIPS 2024)
  48. Naser Kazemi, Nedko Savov, Danda Paudel, Luc Van Gool
    Learning Generative Interactive Environments By Trained Agent Exploration
    In: Conference on Neural Information Processing Systems (NeurIPS 2024) (Workshop)
  49. Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
    SPEAR: Exact Gradient Inversion of Batches in Federated Learning
    In: Conference on Neural Information Processing Systems (NeurIPS 2024)
  50. Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev DAGER: Exact Gradient Inversion for Large Language Models
    In: Conference on Neural Information Processing Systems (NeurIPS 2024)
  51. Timofey Fedoseev, Dimitar Iliev Dimitrov, Timon Gehr, Martin Vechev
    Constraint-Based Synthetic Data Generation for LLM Mathematical Reasoning
    In: Conference on Neural Information Processing Systems (NeurIPS 2024) (Workshop)
  52. Dimitar Chakarov, Nikita Tsoy, Kristian Minchev, Nikola Konstantinov
    Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
    In: Conference on Neural Information Processing Systems (NeurIPS 2024) (Workshop)

2023

  1. Nikola Popovic, Dimitrios Christodoulou, Danda Pani Paudel, Xi Wang, Luc Van Gool
    Model-aware 3D Eye Gaze from Weak and Few-shot Supervisions
    In: the International Symposium on Mixed and Augmented Reality (ISMAR 2023)
  2. Nikola Popovic, Danda Pani Paudel, Thomas Probst, Luc Van Gool
    Token-Consistent Dropout For Calibrated Vision Transformers
    In International Conference on Image Processing (ICIP 2023)
  3. Nikita Tsoy and Nikola Konstantinov
    Strategic Data Sharing between Competitors
    In: Conference on Neural Information Processing Systems (NeurIPS 2023)
  4. Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin Vechev
    Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
    In: Conference on Neural Information Processing Systems (NeurIPS 2023)
  5. Evangelos Ntavelis, Aliaksandr Siarohin, Kyle Olszewski, Chaoyang Wang, Luc Van Gool, and Sergey Tulyakov
    Autodecoding Latent 3D Diffusion Models
    In: Conference on Neural Information Processing Systems (NeurIPS 2023)
  6. Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, and Luc Van Gool
    Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding
    In: Conference on Neural Information Processing Systems (NeurIPS 2023)
  7. Haoyu Chen, Hao Tang, Radu Timofte, Luc Van Gool, and Guoying Zhao
    LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
    In: Conference on Neural Information Processing Systems (NeurIPS 2023)
  8. Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, and Matthew Blaschko
    Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-Grained Intersection-over-Union
    In: Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track, 2023
  9. Maurice Weber, Carlo Siebenschuh, Rory Marshall Butler, Anton Alexandrov, Valdemar Ragnar Thanner, Georgios Tsolakis, Haris Jabbar, Ian Foster, Bo Li, Rick Stevens, Ce Zhang
    WordScape: a Pipeline to Extract Multilingual, Visually Rich Documents with Layout Annotations from Web Crawl Data
    In: Conference on Neural Information Processing Systems (NeurIPS 2023), Datasets and Benchmarks Track, 2023
  10. Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cedric Demonceaux, Radu Timofte, Luc Van Gool
    Source-free Depth for Object Pop-out
    In: International Conference on Computer Vision (ICCV 2023)
  11. Nikola Popovic, Danda Pani Paudel, Luc Van Gool
    Surface Normal Clustering for Implicit Representation of Manhattan Scenes
    In: International Conference on Computer Vision (ICCV 2023)
  12. Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool
    Improving Online Lane Graph Extraction by Object-Lane Clustering
    In: International Conference on Computer Vision (ICCV 2023)
  13. Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool.
    Deformable Neural Radiance Fields using RGB and Event Cameras
    In: International Conference on Computer Vision (ICCV 2023)
  14. Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Hane, Jean-Charles Bazin, Fernando de la Torre
    PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting
    In: International Conference on Computer Vision (ICCV 2023)

This page only lists papers where INSAIT participates as an institution. For all publications of faculty and students prior to INSAIT, please check their individual INSAIT pages.