Tong Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Saliency Detection

Subspace Clustering

Supervised Learning

Image Inpainting

Top Venues

Publications

Shuangqi Li, Chen Liu, Tong Zhang, Hieu Le, Sabine Süsstrunk, Mathieu Salzmann
Controlling the Fidelity and Diversity of Deep Generative Models via Pseudo Density. CoRR (2024)
Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning. ICLR (2024)
Baran Ozaydin, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
DSI2I: Dense Style for Unpaired Exemplar-based Image-to- Image Translation. Trans. Mach. Learn. Res. 2024 (2024)
Lingzhi Pan, Tong Zhang, Bingyuan Chen, Qi Zhou, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Coherent and Multi-modality Image Inpainting via Latent Space Optimization. CoRR (2024)
Zicheng Zhang, Tong Zhang, Yi Zhu, Jianzhuang Liu, Xiaodan Liang, Qixiang Ye, Wei Ke
Language-Driven Visual Consensus for Zero-Shot Semantic Segmentation. CoRR (2024)
Haoqi Wang, Tong Zhang, Mathieu Salzmann
SINDER: Repairing the Singular Defects of DINOv2. CoRR (2024)
Yanhao Wu, Tong Zhang, Wei Ke, Congpei Qiu, Sabine Süsstrunk, Mathieu Salzmann
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange. CoRR (2024)
Chen Zhao, Tong Zhang, Mathieu Salzmann
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. ICLR (2024)
Chen Zhao, Tong Zhang, Mathieu Salzmann
3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation. CoRR (2023)
Shiwei Zhang, Zhengzheng Wang, Qing Liu, Fei Wang, Wei Ke, Tong Zhang
Crowd Counting with Sparse Annotation. CoRR (2023)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. DICTA (2023)
Congpei Qiu, Tong Zhang, Wei Ke, Mathieu Salzmann, Sabine Süsstrunk
De-coupling and De-positioning Dense Self-supervised Learning. CoRR (2023)
Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CoRR (2022)
Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann
Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. CVPR (2022)
Yunqiu Lv, Bowen Liu, Jing Zhang, Yuchao Dai, Aixuan Li, Tong Zhang
Semi-supervised Active Salient Object Detection. Pattern Recognit. 123 (2022)
Hui Deng, Tong Zhang, Yuchao Dai, Jiawei Shi, Yiran Zhong, Hongdong Li
Deep Non-rigid Structure-from-Motion: A Sequence-to-Sequence Translation Perspective. CoRR (2022)
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
MuIT: An End-to-End Multitask Learning Transformer. CVPR (2022)
Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann
MulT: An End-to-End Multitask Learning Transformer. CoRR (2022)
Bahar Aydemir, Deblina Bhattacharjee, Tong Zhang, Seungryong Kim, Mathieu Salzmann, Sabine Süsstrunk
Modeling Object Dissimilarity for Deep Saliency Prediction. Trans. Mach. Learn. Res. 2022 (2022)
Jieming Zhou, Tong Zhang, Pengfei Fang, Lars Petersson, Mehrtash Harandi
Feature Correlation Aggregation: on the Path to Better Graph Neural Networks. CoRR (2021)
Chen Liu, Zhichao Huang, Mathieu Salzmann, Tong Zhang, Sabine Süsstrunk
On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training. CoRR (2021)
Jing Zhang, Yuchao Dai, Tong Zhang, Mehrtash Harandi, Nick Barnes, Richard Hartley
Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection. CVPR (2021)
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Reinforced Attention for Few-Shot Learning and Beyond. CVPR (2021)
Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai
Uncertainty-aware Joint Salient Object and Camouflaged Object Detection. CoRR (2021)
Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk
Optimizing Latent Space Directions For GAN-based Local Image Editing. CoRR (2021)
Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson
Reinforced Attention for Few-Shot Learning and Beyond. CoRR (2021)
Bahar Aydemir, Deblina Bhattacharjee, Seungryong Kim, Tong Zhang, Mathieu Salzmann, Sabine Süsstrunk
Modeling Object Dissimilarity for Deep Saliency Prediction. CoRR (2021)
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CVPR (2020)
Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li
End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera. ICRA (2020)
Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders. CoRR (2020)
Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li
Optimal Feature Transport for Cross-View Image Geo-Localization. AAAI (2020)
Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. HUMA @ ACM Multimedia (2020)
Zhenbo Song, Jianfeng Lu, Tong Zhang, Hongdong Li
End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera. CoRR (2020)
Hongtao Yang, Tong Zhang, Wenbing Huang, Xuming He, Fatih Porikli
Towards Purely Unsupervised Disentanglement of Appearance and Shape for Person Images Generation. CoRR (2020)
Tong Zhang, Fatih Porikli
Sparse Coding on Cascaded Residuals. CoRR (2019)
Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li
Neural Collaborative Subspace Clustering. CoRR (2019)
Tong Zhang, Pan Ji, Mehrtash Harandi, Wen-bing Huang, Hongdong Li
Neural Collaborative Subspace Clustering. ICML (2019)
Yujiao Shi, Xin Yu, Liu Liu, Tong Zhang, Hongdong Li
Optimal Feature Transport for Cross-View Image Geo-Localization. CoRR (2019)
Tong Zhang, Fatih Porikli
Cascade residuals guided nonlinear dictionary learning. Comput. Vis. Image Underst. 173 (2018)
Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
Adaptive Sampling Towards Fast Graph Representation Learning. CoRR (2018)
Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid
Scalable Deep k-Subspace Clustering. CoRR (2018)
Wen-bing Huang, Tong Zhang, Yu Rong, Junzhou Huang
Adaptive Sampling Towards Fast Graph Representation Learning. NeurIPS (2018)
Tong Zhang, Pan Ji, Mehrtash Harandi, Richard I. Hartley, Ian D. Reid
Scalable Deep k-Subspace Clustering. ACCV (5) (2018)
Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CVPR (2018)
Jing Zhang, Tong Zhang, Yuchao Dai, Mehrtash Harandi, Richard I. Hartley
Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective. CoRR (2018)
Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid
Deep Subspace Clustering Networks. CoRR (2017)
Wen-bing Huang, Mehrtash Harandi, Tong Zhang, Lijie Fan, Fuchun Sun, Junzhou Huang
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding. NIPS (2017)
Pan Ji, Tong Zhang, Hongdong Li, Mathieu Salzmann, Ian D. Reid
Deep Subspace Clustering Networks. NIPS (2017)
Tong Zhang, Fatih Porikli
Sparse Coding on Cascaded Residuals. ACCV (4) (2016)
Ivan W. Selesnick, Harry L. Graber, Yin Ding, Tong Zhang, Randall L. Barbour
Transient Artifact Reduction Algorithm (TARA) Based on Sparse Optimization. IEEE Trans. Signal Process. 62 (24) (2014)