Articles with public access mandates - Tianfei ZhouLearn more
Not available anywhere: 10
Matnet: Motion-attentive transition network for zero-shot video object segmentation
T Zhou, J Li, S Wang, R Tao, J Shen
IEEE Transactions on Image Processing 29, 8326-8338, 2020
Mandates: National Natural Science Foundation of China
Contextual Transformation Network for Lightweight Remote Sensing Image Super-Resolution
S Wang, T Zhou, Y Lu, H Di
IEEE TGRS 2021, 2021
Mandates: National Natural Science Foundation of China
Tripartite feature enhanced pyramid network for dense prediction
D Liu, J Liang, T Geng, A Loui, T Zhou
IEEE Transactions on Image Processing 32, 2678-2692, 2023
Mandates: US National Science Foundation
SCLNet: Spatial context learning network for congested crowd counting
S Wang, Y Lu, T Zhou, H Di, L Lu, L Zhang
Neurocomputing 404, 227-239, 2020
Mandates: National Natural Science Foundation of China
Differentiable multi-granularity human parsing
T Zhou, Y Yang, W Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8296-8310, 2023
Mandates: Australian Research Council
Co-LDL: A Co-training-based Label Distribution Learning Method for Tackling Label Noise
Z Sun, H Liu, Q Wang, T Zhou, Q Wu, Z Tang
IEEE TMM 2021, 2021
Mandates: National Natural Science Foundation of China
Locality-constrained collaborative model for robust visual tracking
T Zhou, Y Lu, H Di
IEEE TCSVT 2017 27 (2), 313-325, 2017
Mandates: National Natural Science Foundation of China
Weakly Supervised Visual Saliency Prediction
Q Lai, T Zhou*, S Khan, H Sun, J Shen, L Shao
IEEE TIP 2022, 2022
Mandates: National Natural Science Foundation of China
Nearest neighbor field driven stochastic sampling for abrupt motion tracking
T Zhou, Y Lu, H Di
ICME 2014, 1-6, 2014
Mandates: National Natural Science Foundation of China
Multi-granular semantic mining for weakly supervised semantic segmentation
M Zhang, J Li, T Zhou
Proceedings of the 30th ACM International Conference on Multimedia, 6019-6028, 2022
Mandates: National Natural Science Foundation of China
Available somewhere: 23
Rethinking semantic segmentation: A prototype view
T Zhou, W Wang, E Konukoglu, L Van Gool
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: Australian Research Council
A survey on deep learning technique for video segmentation
T Zhou, F Porikli, D Crandall, L Van Gool, W Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Mandates: Australian Research Council
Motion-attentive transition for zero-shot video object segmentation
T Zhou, S Wang, Y Zhou, Y Yao, J Li, L Shao
AAAI 2020, 13066-13073, 2020
Mandates: National Natural Science Foundation of China
Deep Hierarchical Semantic Segmentation
L Li, T Zhou, W Wang, J Li, Y Yang
CVPR 2022, 2022
Mandates: Australian Research Council, National Natural Science Foundation of China
Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation
T Zhou*, M Zhang*, F Zhao, J Li
CVPR 2022, 2022
Mandates: National Natural Science Foundation of China
Cascaded human-object interaction recognition
T Zhou, W Wang, S Qi, H Ling, J Shen
CVPR 2020, 4263-4272, 2020
Mandates: US Department of Defense
Group-wise semantic mining for weakly supervised semantic segmentation
X Li, T Zhou*, J Li, Y Zhou, Z Zhang
AAAI 35 (3), 1984-1992, 2021
Mandates: National Natural Science Foundation of China
Towards a weakly supervised framework for 3d point cloud object detection and annotation
Q Meng, W Wang, T Zhou, J Shen, Y Jia, L Van Gool
IEEE TPAMI 2021, 2021
Mandates: National Natural Science Foundation of China
Detail-Preserving Transformer for Light Field Image Super-Resolution
S Wang*, T Zhou*, Y Lu, H Di
AAAI 2022, 2022
Mandates: National Natural Science Foundation of China
Group-wise learning for weakly supervised semantic segmentation
T Zhou, L Li, X Li, CM Feng, J Li, L Shao
IEEE Transactions on Image Processing 31, 799-811, 2021
Mandates: National Natural Science Foundation of China
Publication and funding information is determined automatically by a computer program