Publications

Xinqi Lin; Fanghua Yu; Jinfan Hu; Zhiyuan You; Wu Shi; Jimmy S. Ren; Jinjin Gu; Chao Dong
Harnessing Diffusion-Yielded Score Priors for Image Restoration
In: The 18th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia (SIGGRAPH 2025)

Sombit Dey; Ozan Unal; Christos Sakaridis; Luc Van Gool
Fine-Grained Spatial and Verbal Losses for 3D Visual Grounding

Asen Nachkov; Danda Pani Paudel; Martin Danelljan; Luc Van Gool
Diffusion-Based Particle-DETR for BEV Perception

Konstantinos Tzevelekakis; Shutong Zhang; Luc Van Gool; Christos Sakaridis
Sun Off, Lights on: Photorealistic Monocular Nighttime Simulation for Robust Semantic Perception

Elham Amin Mansour; Ozan Unal; Suman Saha; Benjamin Bejar; Luc Van Gool
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation

Simen Cassiman; Marc Proesmans; Tinne Tuytelaars; Luc Van Gool
Model Weights Reflect a Continuous Space of Input Image Domains

Mattia Segu, Luigi Piccinelli, Siyuan Li, Yung-Hsu Yang, Luc Van Gool, Bernt Schiele
Samba: Synchronized Set-of-Sequences Modeling for Multiple Object Tracking

Nicola Marinello, Simen Cassiman, Jonas Heylen, Marc Proesmans, Luc Van Gool
Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes

Erik Sandström, Ganlin Zhang, Keisuke Tateno, Michael Oechsle, Michael Niemeyer, Youmin Zhang, Manthan Patel, Luc Van Gool, Martin Oswald, Federico Tombari
Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians

Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness

Lei Sun, Hang Guo, Bin Ren, Luc Van Gool, Radu Timofte, Yawei Li
The Tenth NTIRE 2025 Image Denoising Challenge Report

Muhammad Uzair Khattak, Muhammad Ferjad Naeem, Muzammal Naseer, Luc Van Gool, Federico Tombari
Learning to Prompt with Text Only Supervision for Vision-Language Models
In: AAAI Conference on Artificial Intelligence (Technical Track on Computer Vision III)

Daiwei Zhang; Gengyan Li; Jiajie Li; Mickaël Bressieux; Otmar Hilliges; Marc Pollefeys, Luc Van Gool, Xi Wang
EgoGaussian: Dynamic Scene Understanding from Egocentric Video with 3D Gaussian Splatting
In: International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2025)

Jiameng Li, Yue Shi, Jiezhang Cao, Bingbing Ni, Wenjun Zhang, Kai Zhang, Luc Van Gool
Mipmap-GS: Let Gaussians Deform with Scale-Specific Mipmap for Anti-Aliasing Rendering
In: International Conference on 3D Vision (3DV 2025)

Qi Ma, Yue Li, Bin Ren, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Danda Pani Paudel
A Large-Scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining
In: International Conference on 3D Vision (3DV 2025)

Hao Tang, Ling Shao, Zhenyu Zhang, Luc Van Gool, Nicu Sebe
Spatial-Temporal Graph Mamba for Music-Guided Dance Video Synthesis

Ke Li,  Luc Van Gool, Dengxin Dai
Test-Time Training for Hyperspectral Image Super-Resolution

Peng Xu, Song Bai, Bowen Zhou, David Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool
Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond

Hao Tang, Ling Shao, Nicu Sebe, Luc Van Gool
Enhanced Multi-Scale Cross-Attention for Person Image Generation

Christos Sakaridis, David Bruggemann, Fisher Yu, Luc Van Gool
Condition-Invariant Semantic Segmentation

Juan Wen, Shupeng Cheng, Weiyan Hou, Luc Van Gool, Radu Timofte
When super-resolution meets camouflaged object detection: A comparison study

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, 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, 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 (AAAI 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)

Yuanqi Yao, Siao Liu, Haoming Song, Delin Qu, Qizhi Chen, Yan Ding, Bin Zhao, Zhigang Wang, Xuelong Li, Dong Wang
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Anna-Maria Halacheva, Jan-Nico Zaech, Xi Wang, Danda Pani Paudel, Luc Van Gool
GaussianVLM: Scene-centric 3D Vision-Language Models using Language-aligned Gaussian Splats for Embodied Reasoning and Beyond
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)

Eduard Zamfir, Zongwei Wu, Nancy Mehta, Yuedong Tan, Danda Pani Paudel, Yulun Zhang, Radu Timofte
Complexity Experts are Task-Discriminative Learners for Any Image Restoration
In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Swagat Kumar, Colin Michael Wilmott
Simulating the non-Hermitian dynamics of financial option pricing with quantum computers
In: Nature Scientific Reports (2025)

Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel
ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models
In: International Conference on Robotics and Automation (ICRA 2025)

Karl Bringmann, Nick Fischer, Bernhard Haeupler, Rustam Latypov
Near-Optimal Directed Low-Diameter Decompositions
In: EATCS International Colloquium on Automata, Languages and Programming (ICALP 2025)

Egor Gorbachev, Tomasz Kociumaka
Bounded Edit Distance: Optimal Static and Dynamic Algorithms for Small Integer Weights
In: ACM Symposium on Theory of Computing (STOC 2025)

Dominik Kempa, Tomasz Kociumaka
On the Hardness Hierarchy for the O(n √log n) Complexity in the Word RAM
In: ACM Symposium on Theory of Computing (STOC 2025)

Richard Hladík, Jakub Tětek
Near-Universally-Optimal Differentially Private Minimum Spanning Trees
(Best Student Paper award)
In: 6th Symposium on Foundations of Responsible Computing (FORC 2025)

Richard Hladík, Jakub Tětek
Smooth Sensitivity Revisited: Towards Optimality
In: 6th Symposium on Foundations of Responsible Computing (FORC 2025)

Nikita Tsoy, Ivan Kirev, Negin Rahimiyazdi, Nikola Konstantinov
On the Impact of Performative Risk Minimization for Binary Random Variables
In: International Conference on Machine Learning (ICML 2025)

Mislav Balunović, Jasper Dekoninck, Nikola Jovanović, Ivo Petrov, Martin Vechev
MathConstruct: Challenging LLM Reasoning with Constructive Proofs
In: International Conference on Machine Learning (ICML 2025); ICLR 2025 (Workshop)

Kristian Minchev, Dimitar Iliev Dimitrov, Nikola Konstantinov
LARP: Learner-Agnostic Robust Data Prefiltering
In: International Conference on Machine Learning (ICML 2025) (Workshop)

Ivo Petrov, Jasper Dekoninck, Lyuben Baltadzhiev, Maria Drencheva, Kristian Minchev, Mislav Balunović, Nikola Jovanović, Martin Vechev
Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad
In: International Conference on Machine Learning (ICML 2025) (Workshop)

Jasper Dekoninck, Ivo Petrov, Kristian Minchev, Mislav Balunovic, Martin Vechev, Miroslav Marinov, Maria Drencheva, Lyuba Konova, Milen Shumanov, Kaloyan Tsvetkov, Nikolay Drenchev, Lazar Todorov, Kalina Nikolova, Nikolay Georgiev, Vanesa Kalinkova, Margulan Ismoldayev
The Open Proof Corpus: A Large-Scale Study of LLM-Generated Mathematical Proofs
In: International Conference on Machine Learning (ICML 2025) (Workshop)

Sicheng He, Zeyu Shangguan, Kuanning Wang, Yongchong Gu, Yuqian Fu, Yanwei Fu, Daniel Seita
Sequential Multi-Object Grasping with One Dexterous Hand
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Kuanning Wang, Yuqian Fu, Tianyu Wang, Yanwei Fu, Longfei Liang, Yu-Gang Jiang, Xiangyang Xue
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Yuedong Tan, Zongwei Wu, Yuqian Fu, Zhuyun Zhou, Guolei Sun, Eduard Zamfi, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte
XTrack: Multimodal Training Boosts RGB-X Video Object Trackers
In: International Conference on Computer Vision (ICCV 2025)

Yuqian Fu, Runze Wang, Yanwei Fu, Danda Pani Paudel, Xuanjing Huang, Luc Van Gool
ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos
In: International Conference on Computer Vision (ICCV 2025)

Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization
In: International Conference on Computer Vision (ICCV 2025)

Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation
In: International Conference on Computer Vision (ICCV 2025)

Yihong Cao, Jiaming Zhang, Xu Zheng, Hao Shi, Kunyu Peng, Hang Liu, Kailun Yang, Hui Zhang
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation
In: International Conference on Computer Vision (ICCV 2025)

Liming Lu, Shuchao Pang, Xu Zheng, Xiang GU, Anan Du, Yunhuai Liu, Yongbin Zhou
CIARD: Cyclic Iterative Adversarial Robustness Distillation
In: International Conference on Computer Vision (ICCV 2025)

Lei Sun, Yuhan Bao, Jiajun Zhai, Jingyun Liang, Yulun Zhang, Kaiwei Wang, Danda Pani Paudel, Luc Van Gool
Low-Light Image Enhancement using Event-Based Illumination Estimation
In: International Conference on Computer Vision (ICCV 2025)

Yuedong Tan, Jiawei Shao, Eduard Zamfir, Ruanjun Li, Zhaochong An, Chao Ma, Danda Pani Paudel, Luc Van Gool, Radu Timofte, Zongwei Wu
What You Have is What You Track: Adaptive and Robust Multimodal Tracking
In: International Conference on Computer Vision (ICCV 2025)

Yue Li, Qi Ma, Runyi Yang, Huapeng Li, Mengjiao Ma, Bin Ren, Nikola Popovic, Nicu Sebe, Ender Konukoglu, Theo Gevers, Luc Van Gool, Martin R. Oswald, Danda Pani Paudel
SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining
In: International Conference on Computer Vision (ICCV 2025)

Anna-Maria Halacheva, Yang Miao, Jan-Nico Zaech, Xi Wang, Luc Van Gool, Danda Pani Paudel
Articulate3D: Holistic Understanding of 3D Scenes as Universal Scene Description
In: International Conference on Computer Vision (ICCV 2025)

Ada-Astrid Balauca, Sanjana Garai, Stefan Balauca, Rasesh Udayakumar Shetty, Naitik Agrawal, Dhwanil Subhashbhai Shah, Yuqian Fu, Xi Wang, Kristina Toutanova, Danda Pani Paudel, Luc Van Gool
Understanding Museum Exhibits using Vision-Language Reasoning
In: International Conference on Computer Vision (ICCV 2025)

Yung-Hsu Yang, Luigi Piccinelli, Mattia Segu, Siyuan Li, Rui Huang, Yuqian Fu, Marc Pollefeys, Hermann Blum, Zuria Bauer
3D-MOOD: Lifting 2D to 3D for Monocular Open-Set Object Detection
In: International Conference on Computer Vision (ICCV 2025)

Mattia Segu, Marta Tintore Gazulla, Yongqin Xian, Luc Van Gool, Federico Tombari
MOBIUS: Big-to-Mobile Universal Image Segmentation via Multi-modal Bottleneck Fusion and Calibrated Decoder Pruning
In: International Conference on Computer Vision (ICCV 2025)

Jialei Chen, Xu Zheng, Dongyue Li, Chong Yi, Seigo Ito, Danda Pani Paudel, Luc Van Gool, Hiroshi Murase, Daisuke Deguchi
Split Matching for Inductive Zero-shot Semantic Segmentation
In: The British Machine Vision Conference (BMVC 2025)

Jiahuan Cheng, Jan-Nico Zaech, Luc Van Gool, Danda Pani Paudel
Occam’s LGS: An Efficient Approach for Language Gaussian Splatting
In: The British Machine Vision Conference (BMVC 2025)

Seri Khoury, Aaron Schild
Round Elimination via Self-Reduction: Closing Gaps for Distributed Maximal Matching
In: IEEE Symposium on Foundations of Computer Science (FOCS 2025)

Nick Fischer, Elazar Goldenberg, Mursalin Habib, Karthik C. S.
Hardness of Median and Center in the Ulam Metric
In: The European Symposium on Algorithms (ESA 2025)

Nick Fischer, Vasileios Nakos
ℓ2/ℓ2 Sparse Recovery via Weighted Hypergraph Peeling
In: The 57th ACM Symposium on Theory of Computing (STOC 2025)

Karl Bringmann, Nick Fischer, Bernhard Haeupler, Rustam Latypov
Near-Optimal Directed Low-Diameter Decompositions
In: International Colloquium on Automata, Languages and Programming (ICALP 2025)

Bernhard Haeupler, Yaowei Long, Thatchaphol Saranurak, Shengzhe Wang
Length-Constrained Directed Expander Decomposition and Length-Constrained Vertex-Capacitated Flow Shortcuts
In: European Symposium on Algorithms (ESA 2025)

Bernhard Haeupler, Yonggang Jiang, Yaowei Long, Thatchaphol Saranurak, Shengzhe Wang
Parallel (1+ε)-Approximate Multi-Commodity Mincost Flow in Almost Optimal Depth and Work
In: IEEE Symposium on Foundations of Computer Science (FOCS 2025)

Nick Fischer, Evangelos Kipouridis, Jonas Klausen, Mikkel Thorup
A Faster Algorithm for Constrained Correlation Clustering
In: Symposium on Theoretical Aspects of Computer Science (STACS 2025)

Amir Abboud, Nick Fischer, Ce Jin, Virginia Vassilevska Williams, Zoe Xi
All-Pairs Shortest Paths with Few Weights per Node
In: The 57th ACM Symposium on Theory of Computing (STOC 2025)

Nick Fischer, Marvin Künnemann, Mirza Redzic, Julian Stieß
The Role of Regularity in (Hyper-)Clique Detection and Implications for Optimizing Boolean CSPs
In: International Colloquium on Automata, Languages and Programming (ICALP 2025)

Nick Fischer, Melvin Kallmayer, Leo Wennmann
A Simple Algorithm for Trimmed Multipoint Evaluation
In: European Symposium on Algorithms (ESA 2025)

Hristo Venev, Thien Udomsrirungruang, Dimitar Dimitrov, Timon Gehr, Martin Vechev
qblaze: An Efficient and Scalable Sparse Quantum Simulator
In: OOPSLA (SPLASH 2025)

Shyan Akmal, Tomohiro Koana
Graph Coloring Below Guarantees via Co-Triangle Packing
In: The International Symposium on Algorithms and Computation (ISAAC 2025)

Alexander Spiridonov, Jan-Nico Zaech, Nikolay Nikolov, Luc Van Gool, Danda Pani Paudel
Generalist Robot Manipulation beyond Action Labeled Data
In: The Conference on Robot Learning (CoRL 2025)

Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
Don’t Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Nedko Savov, Naser Kazemi, Deheng Zhang, Danda Pani Paudel, Xi Wang, Luc Van Gool
StateSpaceDiffuser: Bringing Long Context to Diffusion World Models
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Yang Miao, Jan-Nico Zaech, Xi Wang, Fabien Despinoy, Danda Pani Paudel, Luc Van Gool
LangHOPS: Language Grounded Hierarchical Open-Vocabulary Part Segmentation
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Csaba Dékány, Stefan Balauca, Robin Staab, Dimitar I. Dimitrov, Martin Vechev
MixAT: Combining Continuous and Discrete Adversarial Training for LLMs
In: The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025)

Mengjiao Ma, Qi Ma, Yue Li, Jiahuan Cheng, Runyi Yang, Bin Ren, Nikola Popovic, Mingqiang Wei, Nicu Sebe, Ender Konukoglu, Luc Van Gool, Theo Gevers, Martin R. Oswald, Danda Pani Paudel
GaussianWorld: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting
In: NeurIPS 2025 (Dataset and benchmark track)

Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev
SPEAR++: Scaling Gradient Inversion via Sparse Dictionary Learning
In: NeurIPS 2025 (Workshop)

Asen Nachkov, Danda Pani Paudel, Luc Van Gool
Autonomous Vehicle Controllers From End-to-End Differentiable Simulation
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Stefan Balauca, Mark Niklas Müller, Yuhao Mao, Maximilian Baader, Marc Fischer, Martin Vechev
Gaussian Loss Smoothing Enables Certified Training with Tight Convex Relaxations
In: Transactions on Machine Learning Research (TMLR 2025)

Yuhao Mao, Stefan Balauca, Martin Vechev
CTBENCH: A Library and Benchmark for Certified Training
In: 2025 Forty-Second International Conference on Machine Learning (ICML 2025)

Ivo Petrov, Jasper Dekoninck, Martin Vechev
BrokenMath: A Benchmark for Sycophancy in Theorem Proving with LLMs
In: ACM OOPSLA 2025

Ozan Unal; Dengxin Dai; Lukas Hoyer; Yigit Baran Can; Luc Van Gool
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation
In: IEEE Workshop on Applications of Computer Vision (WACV 2024)

Giuliano Albanese; Arka Mitra; Jan-Nico Zaech; Yupeng Zhao; Ajad Chhatkuli; Luc Van Gool
Optimizing Long-Term Robot Tracking with Multi-Platform Sensor Fusion
In: IEEE Workshop on Applications of Computer Vision (WACV 2024)

Christoph Mayer; Martin Danelljan; Ming-Hsuan Yang; Vittorio Ferrari; Luc Van Gool; Alina Kuznetsova
Beyond SOT: Tracking Multiple Generic Objects at Once
In: IEEE Workshop on Applications of Computer Vision (WACV 2024)

Evangelos Ntavelis; Mohamad Shahbazi; Iason Kastanis; Martin Danelljan; Luc Van Gool
StyleGenes: Discrete and Efficient Latent Distributions for GANs
In: IEEE Workshop on Applications of Computer Vision (WACV 2024)

Qi Ma, Guolei Sun, Güney Ik Tombak, Shipra Jain, Niko Benjamin Huber, Luc Van Gool & Ender Konukoglu
Video Foundation Model for Medical 3D Segmentation
In: 27th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2024)

Zhuyun Zhou, Zongwei Wu; Danda Pani Paudel; Rémi Boutteau; Fan Yang; Luc Van Gool
Event-Free Moving Object Segmentation from Moving Ego Vehicle
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

Junru Lin; Asen Nachkov; Songyou Peng; Luc Van Gool; Danda Pani Paudel
Ternary-Type Opacity and Hybrid Odometry for RGB NeRF-SLAM
In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024)

Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomáš Vojíř, Jan Šochman, Jiří Matas, Michael Smith, Frank Ferrie, Shamik Basu, Christos Sakaridis & Luc Van Gool
The BRAVO Semantic Segmentation Challenge Results in UNCV2024
In: The European Conference on Computer Vision (ECCV 2024) (workshop)

Mengya Liu, Ajad Chhatkuli, Janis Postels, Luc Van Gool & Federico Tombari
Self-supervised Shape Completion via Involution and Implicit Correspondences
In: The European Conference on Computer Vision (ECCV 2024)

Alexey Gavryushin, Yifei Liu, Daoji Huang, Yen-Ling Kuo, Julien Valentin, Luc Van Gool, Otmar Hilliges & Xi Wang
ROMEO: Revisiting Optimization Methods for Reconstructing 3D Human-Object Interaction Models From Images
In: The European Conference on Computer Vision (ECCV 2024) (workshop)

Saman Motamed; Wouter Van Gansbeke; Luc Van Gool
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
In: Computer Vision and Pattern Recognition Conference (CVPR 2024) (workshop)

Guillaume Thiry; Hao Tang; Radu Timofte; Luc Van Gool
Towards Online Real-Time Memory-based Video Inpainting Transformers
In: Computer Vision and Pattern Recognition Conference (CVPR 2024) (workshop)

Rui Gong, Martin Danelljan, Han Sun, Julio Delgado Mangas, Nikolay Marin, Luc Van Gool
Prompting Diffusion Representations for Cross-Domain Semantic Segmentation

Bin Ren, Guofeng Mei, Danda Pani Paudel, Weijie Wang, Yawei Li, Mengyuan Liu, Rita Cucchiara, Luc Van Gool & Nicu Sebe
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-supervised Learning
In: Asian Conference on Computer Vision (ACCV 2024)

Hui Wei; Hao Tang; Xuemei Jia; Zhixiang Wang; Hanxun Yu; Zhubo Li, Shin’ichi Satoh, Luc Van Gool
Physical Adversarial Attack Meets Computer Vision: A Decade Survey

Hao Tang; Ling Shao; Nicu Sebe; Luc Van Gool
Graph Transformer GANs With Graph Masked Modeling for Architectural Layout Generation

Lukas Hoyer; Dengxin Dai; Luc Van Gool
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation

Lei Sun; Daniel Gehrig; Christos Sakaridis; Mathias Gehrig; Jingyun Liang, Peng Sun, Zhijie Xu, Kaiwei Wang, Luc Van Gool
A Unified Framework for Event-Based Frame Interpolation With Ad-Hoc Deblurring in the Wild

Edoardo Mello Rella, Ajad Chhatkuli, Ender Konukoglu & Luc Van Gool
Neural Vector Fields for Implicit Surface Representation and Inference

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 𝑛^ϵ 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)

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)