Papers

Oral Session 1

Monday 23rd May, 13:15 - 14:15

Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows

Amaan Valiuddin (Eindhoven University of Technology (TU/e)); Christiaan G.A. Viviers (Eindhoven University of technology); Ruud J. G. van Sloun (Technical university of Eindhoven); P. H. N. de With (Eindhoven University of Technology); Fons van der Sommen (Dept. Electrical Engineering, Eindhoven University of Technology, Eindhoven, NL)

Part-aware Panoptic Segmentation

Daan de Geus (Eindhoven University of Technology); Panagiotis Meletis (Eindhoven University of Technology); Chenyang Lu (Eindhoven University of Technology); Xiaoxiao Wen (University of Amsterdam); Gijs Dubbelman (Eindhoven University of Technology)

Spectral Leakage and Rethinking the Kernel Size in CNNs

Nergis Tomen (Delft University of Technology); Jan C van Gemert (Delft University of Technology)

Respecting Domain Relations: Hypothesis Invariance for Domain Generalization

Ziqi Wang (Delft University of Technology); Marco Loog (Delft University of Technology & University of Copenhagen); Jan C van Gemert (Delft University of Technology)

Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels

Xiangwei Shi (Delft University of Technology); Seyran Khademi (Delft University of Technology); Yunqiang Li (TU Delft); Jan C van Gemert (Delft University of Technology)

A Deep Learning Approach to Assist Sustainability of Demersal Trawling Operations

Maria Sokolova (Wageningen University and Research)

Long-term Behaviour Recognition in Videos with Actor-focused Region Attention

Luca Ballan (University of Padova, TNO ); Ombretta Strafforello (Delft University of Technology, TNO); Klamer Schutte (TNO)

DISCO: accurate Discrete Scale Convolutions

Ivan Sosnovik (University of Amsterdam); Artem Moskalev (University of Amsterdam); Arnold W.M. Smeulders (University of Amsterdam)

Audio-Adaptive Activity Recognition Across Video Domains

Yunhua Zhang (University of Amsterdam); Hazel Doughty (University of Amsterdam); Ling Shao (NCAI/IIAI/MBZUAI); Cees Snoek (University of Amsterdam)

Neural Feature Matching in Implicit 3D Representations

Yunlu Chen (University of Amsterdam); Basura Fernando (Agency for Science, Technology and Research, A*STAR, Singapore); Hakan Bilen (University of Edinburgh); Thomas Mensink (Google Research / University of Amsterdam); Stratis Gavves (University of Amsterdam)

Poster Session 1

Monday 23rd May, 14:30 - 16:30

1. Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations

Andreas Panteli (Netherlands Cancer institue); Jonas Teuwen (NKI); Hugo Horlings (nki.nl); Efstratios Gavves (University of Amsterdam)

2. Project RISE: Recognizing Industrial Smoke Emissions

Yen-Chia Hsu (University of Amsterdam)

3. Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing Flows

Amaan Valiuddin (Eindhoven University of Technology (TU/e)); Christiaan G.A. Viviers (Eindhoven University of technology); Ruud J. G. van Sloun (Technical university of Eindhoven); P. H. N. de With (Eindhoven University of Technology); Fons van der Sommen (Dept. Electrical Engineering, Eindhoven University of Technology, Eindhoven, NL)

4. Depth estimation from a single CD-SEM image using domain adaptation with multimodal data

Tim Houben (Eindhoven University of Technology)

5. Proximally Sensitive Error for Anomaly Detection and Feature Learning

Amogh Gudi (VicarVision, TU Delft); Jan C van Gemert (Delft University of Technology)

6. ChickenNet - an end-to-end approach for plumage condition assessment of laying hens in commercial farms using computer vision

Christian Lamping (Wageningen University & Research)

7. Combining traffic light detection with the correct behavior via end-to-end learning

Maël Wildi (Ecole Polytechnique Fédérale de Lausanne); Alexandre Alahi (EPFL); Arnoud Visser (UvA)

8. Spectral Leakage and Rethinking the Kernel Size in CNNs

Nergis Tomen (Delft University of Technology); Jan C van Gemert (Delft University of Technology)

9. Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Thomas Mensink (Google Research / University of Amsterdam)

10. Fully Automated Thrombus Segmentation on CT Images of Patients with Acute Ischemic Stroke

Mahsa Mojtahedi (Amsterdam University Medical Center); Manon Kappelhof (Amsterdam University Medical Center); Elena Ponomareva (Nicolab); Manon L. Tolhuisen (Amsterdam University Medical Center); Ivo G. H. Jansen (Nicolab); Agnetha A. E. Bruggeman (Amsterdam University Medical Center); Bruna G. Dutra (Amsterdam University Medical Center); Lonneke Yo (Catharina Ziekenhuis); Natalie LeCouffe (Amsterdam University Medical Center); Jan W. Hoving (Amsterdam University Medical Center); Henk van Voorst (Amsterdam University Medical Center); Josje Brouwer (Amsterdam University Medical Center); Nerea Arrarte Terreros (Amsterdam University Medical Center); Praneeta R. Konduri ( Amsterdam University Medical Center); Frederick J. A. Meijer (Radboud University Medical Center); Auke Appelman (University Medical Center Groningen); Kilian M. Treurniet (Amsterdam University Medical Center / The Hague Medical Center); Jonathan M. Coutinho (Amsterdam University Medical Center); Yvo B.W.E.M. Roos (Amsterdam University Medical Center); Wim van Zwam (Maastricht UMC); Diederik Dippel (Erasmus MC); Stratis Gavves (University of Amsterdam); Bart J. Emmer (Amsterdam University Medical Center); Charles B. L. M. Majoie ( Amsterdam University Medical Center); Henk A. Marquering (Amsterdam University Medical Center)

11. No frame left behind: Full Video Action Recognition

Xin Liu (Delft University of Technology); Silvia L. Pintea (Delft University of Technology); Fatemeh Karimi Nejadasl (Tom Tom); Olaf Booij (Tom Tom); Jan C. van Gemert (Delft University of Technology)

12. Long-term Behaviour Recognition in Videos with Actor-focused Region Attention

Luca Ballan (University of Padova, TNO ); Ombretta Strafforello (Delft University of Technology, TNO)*; Klamer Schutte (TNO)

13. Equidistant Hyperspherical Prototypes Improve Uncertainty Quantification

Gertjan Burghouts (TNO); Pascal Mettes (University of Amsterdam)

14. Audio-Adaptive Activity Recognition Across Video Domains

Yunhua Zhang (University of Amsterdam); Hazel Doughty (University of Amsterdam); Ling Shao (NCAI/IIAI/MBZUAI); Cees Snoek (University of Amsterdam)

15. Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation

Wei D Zhang (University of Amsterdam)

16. Resolution learning in deep convolutional networks using scale-space theory

Silvia-Laura L Pintea (TU Delft); Nergis Tomen (Delft University of Technology); Stanley Floris Goes (Delft University of Technology); Marco Loog (Delft University of Technology & University of Copenhagen); Jan C van Gemert (Delft University of Technology)

17. Zero-Shot Action Recognition from Diverse Object-Scene Compositions

Carlo Bretti (University of Amsterdam); Pascal Mettes (University of Amsterdam)

18. A Deep Learning Approach to Assist Sustainability of Demersal Trawling Operations

Maria Sokolova (Wageningen University and Research)

19. Real-time webcam heart-rate and variability estimation with clean ground truth for evaluation

Amogh Gudi (VicarVision, TU Delft); Marian Bittner (VicarVision, TU Delft); Jan C van Gemert (Delft University of Technology)

20. Part-aware Panoptic Segmentation

Daan de Geus (Eindhoven University of Technology)*; Panagiotis Meletis (Eindhoven University of Technology); Chenyang Lu (Eindhoven University of Technology); Xiaoxiao Wen (University of Amsterdam); Gijs Dubbelman (Eindhoven University of Technology)

21. A survey of computational methods for iconic image analysis

Nanne van Noord (University of Amsterdam)

22. Automatic Calibration of the Fisheye Camera for Egocentric 3D Human Pose Estimation from a Single Image

Yahui Zhang (University of Amsterdam); Shaodi You (University of Amsterdam); Theo Gevers (University of Amsterdam)

23. Deep Vanishing Point Detection: Geometric priors make dataset variations vanish

Yancong Lin ( Delft University of Technology)

24. Respecting Domain Relations: Hypothesis Invariance for Domain Generalization

Ziqi Wang (Delft University of Technology); Marco Loog (Delft University of Technology & University of Copenhagen); Jan C van Gemert (Delft University of Technology)

25. Multi-Loss Weighting with Coefficient of Variations

Rick Groenendijk (University of Amsterdam); Sezer Karaoglu (University of Amsterdam); Theo Gevers (University of Amsterdam); Thomas Mensink (Google Research / University of Amsterdam)

26. Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels

Xiangwei Shi (Delft University of Technology)*; Seyran Khademi (Delft University of Technology); Yunqiang Li (TU Delft); Jan C van Gemert (Delft University of Technology)

27. Self-Contained Entity Discovery from Captioned Videos

Melika Ayoughi (University of Amsterdam); Paul Groth (University of Amsterdam); Pascal Mettes (University of Amsterdam)

28. DISCO: accurate Discrete Scale Convolutions

Ivan Sosnovik (University of Amsterdam); Artem Moskalev (University of Amsterdam)*; Arnold W.M. Smeulders (University of Amsterdam)

29. Hyperbolic Busemann Learning with Ideal Prototypes

Mina Ghadimi Atigh (University of Amsterdam); Martin Keller-ressel (TU Dresden); Pascal Mettes (University of Amsterdam)

30. AmsterTime: A Visual Place Recognition Benchmark Dataset for Severe Domain Shift

Burak Yildiz (Delft University of Technology); Seyran Khademi (Delft University of Technology); Ronald Siebes (VU Amsterdam); Jan C van Gemert (Delft University of Technology)

31. Neural Feature Matching in Implicit 3D Representations

Yunlu Chen (University of Amsterdam); Basura Fernando (Agency for Science, Technology and Research, A*STAR, Singapore); Hakan Bilen (University of Edinburgh); Thomas Mensink (Google Research / University of Amsterdam); Stratis Gavves (University of Amsterdam)

Oral Session 2

Tuesday 24th May, 9:00 - 9:35

Semantic Segmentation: How to Train for The Wild

Fabrizio J Piva (Eindhoven University of Technology); Daan de Geus (Eindhoven University of Technology); Gijs Dubbelman (Eindhoven University of Technology)

Skip-Convolutions for Efficient Video Processing

Amirhossein Habibian (Qualcomm AI Research); Davide Abati (Qualcomm AI Research); Taco S. Cohen (Qualcomm AI Research); Babak Ehteshami Bejnordi (Qualcomm AI Reseach)

Hyperbolic Image Segmentation

Mina Ghadimi Atigh (University of Amsterdam); Martin Keller-ressel (TU Dresden); Pascal Mettes (University of Amsterdam)

T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information

Helena Russello (Wageningen University & Research); Gert Kootstra ("Wageningen, The Netherlands"); Rik van der Tol (Wageningen University & Research)

BoxeR: Box-Attention for 2D and 3D Transformers

Duy-Kien Nguyen (University of Amsterdam); Jihong Ju ( TomTom Global Content B.V.); Olaf Booij (TomTom); Martin R. Oswald (ETH Zurich); Cees Snoek (University of Amsterdam)

PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition

Partha Das (University of Amsterdam); Sezer Karaoglu (University of Amsterdam); Theo Gevers (University of Amsterdam)

Poster Session 2

Tuesday 24th May, 9:35 - 11:00

1. Towards a Human in the Loop Approach to Preserve Privacy in Images

Andrea Mauri (TU Delft); Alessandro Bozzon (Delft University of Technology)

2. Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Miltiadis Kofinas (University of Amsterdam); Naveen Shankar Nagaraja (BMW Group); Efstratios Gavves (University of Amsterdam)

3. Efficiency in Real-time Webcam Gaze Tracking

Amogh Gudi (VicarVision, TU Delft); Xin Li (VicarVision, TU Delft); Jan C van Gemert (Delft University of Technology)

4. T-LEAP: Occlusion-robust pose estimation of walking cows using temporal information

Helena Russello (Wageningen University & Research); Gert Kootstra ("Wageningen, The Netherlands"); Rik van der Tol (Wageningen University & Research)

5. Skip-Convolutions for Efficient Video Processing

Amirhossein Habibian (Qualcomm AI Research); Davide Abati (Qualcomm AI Research)*; Taco S. Cohen (Qualcomm AI Research); Babak Ehteshami Bejnordi (Qualcomm AI Reseach)

6. Deep continuous networks

Nergis Tomen (Delft University of Technology); Silvia-Laura L Pintea (TU Delft); Jan C van Gemert (Delft University of Technology)

7. Self-Supervised Road Layout Parsing with Graph Auto-Encoding

Chenyang Lu (Eindhoven University of Technology); Gijs Dubbelman (Eindhoven University of Technology)

8. Semantic Segmentation: How to Train for The Wild

Fabrizio J Piva (Eindhoven University of Technology); Daan de Geus (Eindhoven University of Technology); Gijs Dubbelman (Eindhoven University of Technology)

9. Critical Vehicle Detection for Intelligent Transportation Systems

Erkut Akdag (Eindhoven University of Technology); Egor Bondarev (TU Eindhoven); P. H. N. de With (Eindhoven University of Technology)

10. On Sensitive Minima in Margin-Based Deep Distance Learning

Reza Serajeh (TU Delft); Amir Mousavinia (K.N. Toosi University of Technology); Seyran Khademi (Delft University of Technology); Jan C van Gemert (Delft University of Technology)

11. Hyperbolic Image Segmentation

Mina Ghadimi Atigh (University of Amsterdam); Julian M Schoep (Promaton); Erman Acar (Vrije Universiteit Amsterdam); Nanne van Noord (University of Amsterdam); Pascal Mettes (University of Amsterdam)

12. On Measuring and Controlling the Spectral Bias of the Deep Image Prior

Zenglin Shi (University of Amsterdam)

13. Kinship identification through joint learning using kinship verification ensembles

Wei Wang (University of Amsterdam); Shaodi You (University of Amsterdam); Sezer Karaoglu (University of Amsterdam); Theo Gevers (University of Amsterdam)

14. FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes

Robert-Jan Bruintjes (Delft University of Technology); David W Romero (Vrije Universiteit Amsterdam); Jakub Tomczak (Vrije Universiteit Amsterdam); Erik J Bekkers (University of Amsterdam); Mark Hoogendoorn (Vrije Universiteit Amsterdam)

15. On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location

Osman Semih Kayhan (Delft University of Technology); Jan C van Gemert (Delft University of Technology)

16. Multiresolution Knowledge Distillation for Anomaly Detection

Mohammadreza Salehi (University of Amsterdam)

17. Zero-Shot Day-Night Domain Adaptation with a Physics Prior

Attila Lengyel (Delft University of Technology); Sourav Garg (Queensland University of Technology); Michael Milford (ACRV and QUT, Australia); Jan C van Gemert (Delft University of Technology)

18. Enhancing Classifier Conservativeness and Robustness by Polynomiality

Ziqi Wang (Delft University of Technology); Marco Loog (Delft University of Technology & University of Copenhagen)

19. Video-Based Detection and Tracking with Improved Re-identification Association for Pigs and Laying Hens in Farms

Qinghua Guo (Eindhoven University of Technology); Yue Sun ( Eindhoven University of Technology); Lan Min ( Eindhoven University of Technology); Arjen van Putten ( Utrecht University); Egbert Frank Knol (Topigs Norsvin Research Center); Bram Visser (Hendrix Genetics); T. Bas Rodenburg (Utrecht University); J. Elizabeth Bolhuis (Wageningen University & Research); Piter Bijma (Wageningen University & Research); P. H. N. de With (Eindhoven University of Technology)

20. PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition

Partha Das (University of Amsterdam); Sezer Karaoglu (University of Amsterdam); Theo Gevers (University of Amsterdam)

21. Continual Learning of Dynamical Systems with Competitive Multi-Head Reservoir Computing

Leonard F Bereska (University of Amsterdam)

22. BoxeR: Box-Attention for 2D and 3D Transformers

Duy-Kien Nguyen (University of Amsterdam); Jihong Ju ( TomTom Global Content B.V.); Olaf Booij (TomTom); Martin R. Oswald (ETH Zurich); Cees Snoek (University of Amsterdam)

23. PointMixup: Augmentation for Point Clouds

Vincent Tao Hu (University of Amsterdam); Yunlu Chen (University of Amsterdam)

24. Less than Few: Self-Shot Video Instance Segmentation

Pengwan Yang (University of Amsterdam)

We thank the NCCV 2022 sponsors: