Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models

Authors: Motamed, Saman, Van Gansbeke, Wouter, Van Gool, Luc

Source: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) CVPRW Computer Vision and Pattern Recognition Workshops (CVPRW), 2024 IEEE/CVF Conference on. :7406-7415 Jun, 2024

Relation: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

A Simple and Generalist Approach for Panoptic Segmentation

Authors: Prisadnikov, Nedyalko, Van Gansbeke, Wouter, Paudel, Danda Pani, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2408.16504

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting

Authors: Van Gansbeke, Wouter, De Brabandere, Bert

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2401.10227

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Authors: Van Gansbeke, Wouter, Vandenhende, Simon, Georgoulis, Stamatios, Van Gool, Luc

Source: 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ICCV Computer Vision (ICCV), 2021 IEEE/CVF International Conference on. :10032-10042 Oct, 2021

Relation: 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Discovering Object Masks with Transformers for Unsupervised Semantic Segmentation

Authors: Van Gansbeke, Wouter, Vandenhende, Simon, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2206.06363

End-to-end Lane Detection through Differentiable Least-Squares Fitting

Authors: Van Gansbeke, Wouter, De Brabandere, Bert, Neven, Davy, Proesmans, Marc, Van Gool, Luc

Source: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW) ICCVW Computer Vision Workshop (ICCVW), 2019 IEEE/CVF International Conference on. :905-913 Oct, 2019

Relation: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Sparse and Noisy LiDAR Completion with RGB Guidance and Uncertainty

Authors: Van Gansbeke, Wouter, Neven, Davy, De Brabandere, Bert, Van Gool, Luc

Source: 2019 16th International Conference on Machine Vision Applications (MVA) Machine Vision Applications (MVA), 2019 16th International Conference on. :1-6 May, 2019

Relation: 2019 16th International Conference on Machine Vision Applications (MVA)

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

Authors: Van Gansbeke, Wouter, Vandenhende, Simon, Georgoulis, Stamatios, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2106.05967

SCAN: Learning to Classify Images without Labels

Authors: Van Gansbeke, Wouter, Vandenhende, Simon, Georgoulis, Stamatios, Proesmans, Marc, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2005.12320

Multi-Task Learning for Dense Prediction Tasks: A Survey

Authors: Vandenhende, Simon, Georgoulis, Stamatios, Van Gansbeke, Wouter, Proesmans, Marc, Dai, Dengxin, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2004.13379

Don't Forget The Past: Recurrent Depth Estimation from Monocular Video

Authors: Patil, Vaishakh, Van Gansbeke, Wouter, Dai, Dengxin, Van Gool, Luc

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Computer Science - Robotics, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2001.02613

Multi-Task Learning for Dense Prediction Tasks: A Survey

Authors: Vandenhende, Simon, Georgoulis, Stamatios, Van Gansbeke, Wouter, Proesmans, Marc, Dai, Dengxin, Van Gool, Luc

Source: IEEE transactions on pattern analysis and machine intelligence. 44(7):3614-3633

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100152119946.0x000001&indx=1&recIds=ETOCvdc_100152119946.0x000001

Multi-Task Learning for Dense Prediction Tasks: A Survey.

Authors: Vandenhende, Simon¹, simon.vandenhende@kuleuven.be, Georgoulis, Stamatios², georgous@ee.ethz.ch, Van Gansbeke, Wouter¹, wouter.vangansbeke@kuleuven.be, Proesmans, Marc¹, marc.proesmans@kuleuven.be, Dai, Dengxin², daid@ee.ethz.ch, Van Gool, Luc³, vangool@vision.ee.ethz.ch

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Jul2022, Vol. 44 Issue 7, p3614-3633, 20p