Tong Zhang

According to our database, Tong Zhang authored at least 31 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation.

Chen Zhao, Tong Zhang, Mathieu Salzmann

CoRR, 2023

Crowd Counting with Sparse Annotation.

Shiwei Zhang, Zhengzheng Wang, Qing Liu, Fei Wang, Wei Ke, Tong Zhang

CoRR, 2023

De-coupling and De-positioning Dense Self-supervised Learning.

Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk

CoRR, 2023

Feature Correlation Aggregation: on the Path to Better Graph Neural Networks.

Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Spatiotemporal Self-Supervised Learning for Point Clouds in the Wild.

Yanhao Wu, Tong Zhang, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TempSAL - Uncovering Temporal Information for Deep Saliency Prediction.

Bahar Aydemir, Ludo Hoffstetter, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Modeling Object Dissimilarity for Deep Saliency Prediction.

Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk

Trans. Mach. Learn. Res., 2022

Semi-supervised Active Salient Object Detection.

Yunqiu Lv, Bowen Liu, Jing Zhang, Yuchao Dai, Aixuan Li, Tong Zhang

Pattern Recognit., 2022

DSI2I: Dense Style for Unpaired Image-to-Image Translation.

Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2022

MulT: An End-to-End Multitask Learning Transformer.

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

CoRR, 2022

Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective.

Hui Deng, Tong Zhang, Yuchao Dai, Jiawei Shi, Yiran Zhong, Hongdong Li

CoRR, 2022

Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy.

Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MuIT: An End-to-End Multitask Learning Transformer.

Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective.

Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley

IEEE Trans. Pattern Anal. Mach. Intell., 2021

On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training.

Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk

CoRR, 2021

Optimizing Latent Space Directions For GAN-based Local Image Editing.

Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk

CoRR, 2021

Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection.

Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Reinforced Attention for Few-Shot Learning and Beyond.

Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation.

Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli

Proceedings of the HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera.

Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders.

Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Optimal Feature Transport for Cross-View Image Geo-Localization.

Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Neural Collaborative Subspace Clustering.

Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Cascade residuals guided nonlinear dictionary learning.

Tong Zhang, Fatih Porikli

Comput. Vis. Image Underst., 2018

Adaptive Sampling Towards Fast Graph Representation Learning.

Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective.

Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Scalable Deep k-Subspace Clustering.

Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Deep Subspace Clustering Networks.

Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding.

Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Sparse Coding on Cascaded Residuals.

Tong Zhang, Fatih Porikli

Proceedings of the Computer Vision - ACCV 2016, 2016

2014

Transient Artifact Reduction Algorithm (TARA) Based on Sparse Optimization.

Ivan W. Selesnick, Harry L. Graber, Yin Ding, Tong Zhang, Randall L. Barbour

IEEE Trans. Signal Process., 2014