Characterizing and Avoiding Negative Transfer
Comments Published at CVPR 2019
期刊&会议
Conference on Computer Vision and Pattern Recognition · 会议 · Computer Vision
Comments Published at CVPR 2019
Comments Accepted to Women in Computer Vision (WiCV) Workshop at CVPR 2019
Comments CVPR 2019 Deep Vision Workshop (https://sites.google.com/view/deepvision2019)
Comments Report of the Sixth Women In Computer Vision Workshop
Journal ref The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0
Comments Accepted by CVPR 2018. GitHub: https://github.com/wuhuikai/DeepGuidedFilter
Comments CVPR 2019 (Under review for journal extension). Project page : https://sites.google.com/view/relcap
Comments Accepted in Visual Question Answering and Dialog Workshop, CVPR 2019
Comments Extension of a CVPR 2019 paper. Dataset and PyTorch Code are released. arXiv admin note: substantial text overlap with arXiv:1904.04441
Comments Accepted to CVPR 2019
Comments CVPR 2019
Comments Accepted to CVPR 2019. Code: https://github.com/czq142857/implicit-decoder Project page: https://www.sfu.ca/~zhiqinc/imgan/Readme.html
Comments To appear in CVPR 2019. Changelog: v3. +an experiment to compare improvement from pseudo-gt data on single view vs temporal context model. v2. camready ver: Minor update in model training where the gaussian shape prior is used, updated results (similar results, same trends), added more ablation study in the appendix. v1. +evaluation protocol subsection in appendix, updated results due to bug fix
Comments A short version of this was presented at CVPR 2019 Workshop on Explainable AI
Comments Extension of the CVPR'19 paper describing release v0.5, the LVIS Challenge, and baseline results
Comments CVPR 2019 Accepted, Project: https://delta-lab-iitk.github.io/CADA/
Comments CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Long Beach, CA, 2019
Comments CVPR 2019 Oral
Comments 10 pages, 11 figures, published in CVPR 2019
Comments CVPR 2019, Oral
Comments CVPR 2019 Workshop on Efficient Deep Learning for Computer Vision (Oral)
Comments CVPR 2019
Comments CVPR-2019 (oral)
Comments Accepted to IEEE TMI ( (c) IEEE). This manuscript expands the CVPR 2018 paper (arXiv:1802.02604) by introducing an auxiliary model that uses segmentation maps during training, an amortized optimization analysis, and extensive model analysis. Code available at http://voxelmorph.csail.mit.edu
Comments CVPR'19 Workshops (Detecting Objects in Aerial Images). The dataset is publicly available at: https://captain-whu.github.io/iSAID/index.html
Comments CVPR 2019 (Oral)
Comments CVPR 2019
Comments Accepted as a spotlight oral paper by CVPR 2016. Code at https://github.com/nsavinov/ray_potentials/
Comments CVPR 2019 ORAL
Comments Accepted to New Trends in Image Restoration and Enhancement(NTIRE) Workshop at CVPR 2019
Comments Accepted by CVPR'19. Project page: https://stevewongv.github.io/derain-project.html