Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Philip Torr

Philip Torr

Is synthetic data from generative models ready for image recognition?

Oct 14, 2022
Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip Torr, Song Bai, Xiaojuan Qi

Figure 1 for Is synthetic data from generative models ready for image recognition?

Figure 2 for Is synthetic data from generative models ready for image recognition?

Figure 3 for Is synthetic data from generative models ready for image recognition?

Figure 4 for Is synthetic data from generative models ready for image recognition?

* Preprint. Under review

Access Paper or Ask Questions

Diversified Dynamic Routing for Vision Tasks

Sep 26, 2022
Botos Csaba, Adel Bibi, Yanwei Li, Philip Torr, Ser-Nam Lim

Figure 1 for Diversified Dynamic Routing for Vision Tasks

Figure 2 for Diversified Dynamic Routing for Vision Tasks

Figure 3 for Diversified Dynamic Routing for Vision Tasks

Figure 4 for Diversified Dynamic Routing for Vision Tasks

* 18 pages, 9 figures, ECCV, VIPriors

Access Paper or Ask Questions

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Jul 25, 2022
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip Torr

Figure 1 for SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Figure 2 for SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Figure 3 for SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Figure 4 for SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

* European Conference on Computer Vision (ECCV) , 2022

Access Paper or Ask Questions

Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Jul 14, 2022
Ziyi Shen, Qianye Yang, Yuming Shen, Francesco Giganti, Vasilis Stavrinides, Richard Fan, Caroline Moore, Mirabela Rusu, Geoffrey Sonn, Philip Torr, Dean Barratt, Yipeng Hu

Figure 1 for Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Figure 2 for Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Figure 3 for Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

Figure 4 for Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration

* preprint version, accepted for MICCAI 2022 (25th International Conference on Medical Image Computing and Computer Assisted Intervention)

Access Paper or Ask Questions

Universal Adaptive Data Augmentation

Jul 14, 2022
Xiaogang Xu, Hengshuang Zhao, Philip Torr

Figure 1 for Universal Adaptive Data Augmentation

Figure 2 for Universal Adaptive Data Augmentation

Figure 3 for Universal Adaptive Data Augmentation

Figure 4 for Universal Adaptive Data Augmentation

* under submission

Access Paper or Ask Questions

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

Apr 18, 2022
Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip Torr

Figure 1 for MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

Figure 2 for MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

Figure 3 for MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

Figure 4 for MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning

* This paper was accepted at SIGIR 2022

Access Paper or Ask Questions