Publications
- 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) - Nick Fischer
Sumsets, 3SUM, Subset Sum: Now for Real!
In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025) - Amir Abboud, Nick Fischer, Ron Safier, Nathan Wallheimer
Recognizing Sumsets is NP-Complete
In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025) - Karl Bringmann, Nick Fischer, Vasileios Nakos,
Beating Bellman’s Algorithm for Subset Sum
In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025) - Bernhard Haeupler, Jonas Huebotter, Mohsen Ghaffari
A Cut-Matching Game for Constant-Hop Expanders
In: ACM-SIAM Symposium on Discrete Algorithms (SODA 2025) - 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) - Christian Janos Lebeda and Jakub Tetek
Testing Identity of Continuous Distributions in Polylogarithmic Space
In: SIAM Symposium on Simplicity in Algorithms (SOSA 2025) - 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) - Shyan Akmal, Tomohiro Koana Faster Edge Coloring by Partition Sieving
In: 42nd International Symposium on Theoretical Aspects of Computer Science (STACS 2025) - 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) - 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 - 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) - 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) - 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) - 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) - 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) - 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) - 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
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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 - 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) - 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)
- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - Ozan Unal, Christos Sakaridis, Luc Van Gool
Bayesian Self-Training for Semi-Supervised 3D Segmentation
In: The European Conference on Computer Vision (ECCV 2024) - 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) - 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) - 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) - Anton Alexandrov, Veselin Raychev, Mark Niklas Müller, Ce Zhang, Martin Vechev, Kristina Toutanova
Mitigating Catastrophic Forgetting in Language Transfer via Model Merging - 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) - Nikita Tsoy, Nikola Konstantinov
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
In: International Conference on Machine Learning (ICML 2024) - 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) - 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) - 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 - 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) - 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) - 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) - Dominik Kempa, Tomasz Kociumaka
Lempel-Ziv (LZ77) Factorization in Sublinear Time
In: IEEE Symposium on Foundations of Computer Science (FOCS 2024) - 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) - 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 - 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) - 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) - 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) - 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) - 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) - 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) - 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
- 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) - 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) - Nikita Tsoy and Nikola Konstantinov
Strategic Data Sharing between Competitors
In: Conference on Neural Information Processing Systems (NeurIPS 2023) - 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) - 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) - 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) - 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) - 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 - 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 - 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) - 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) - 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) - 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) - 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)