Tian Feng

Orcid: 0000-0001-9691-3266

Affiliations:
  • Zhejiang University (ZJU), Hangzhou, China
  • Singapore University of Technology and Design, Singapore (PhD 2017)
  • University of Massachusetts Boston, Boston, MA, USA


According to our database1, Tian Feng authored at least 36 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
SuraGS: Toward efficient few-shot novel view synthesis via surface-aware Gaussian splatting.
Comput. Graph., 2025

WETR: Wireframe parsing using deformable Transformers.
Comput. Graph., 2025

DRoLaS: Diffusion-Based Coarse-to-Fine Conditional Synthesis of Hierarchical Road Layouts.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

In2NeCT: Inter-class and Intra-class Neural Collapse Tuning for Semantic Segmentation of Imbalanced Remote Sensing Images.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation.
IEEE Trans. Geosci. Remote. Sens., 2024

Single Remote Sensing Image Super-Resolution via a Generative Adversarial Network With Stratified Dense Sampling and Chain Training.
IEEE Trans. Geosci. Remote. Sens., 2024

A Conditional Diffusion Model With Fast Sampling Strategy for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2024

Aggregative and Contrastive Dual-View Graph Attention Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024

DOCNet: Dual-Domain Optimized Class-Aware Network for Remote Sensing Image Segmentation.
IEEE Geosci. Remote. Sens. Lett., 2024

A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MuMoSNet: 3D MRI-based Brain Tumor Segmentation via Multi-modal and Multi-scale Feature Fusion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

WirePAuS: Auxiliary-free Single-shot Wireframe Parsing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Retinal Vessel Segmentation via Cross-attention Feature Fusion.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CROCFUN: Cross-Modal Conditional Fusion Network for Pansharpening.
Proceedings of the IEEE International Conference on Acoustics, 2024

ToolBeHonest: A Multi-level Hallucination Diagnostic Benchmark for Tool-Augmented Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Cryptocurrency Topic Burst Prediction via Hybrid Twin-structured Multi-modal Learning.
Proceedings of the Database Systems for Advanced Applications, 2024

SESAME: Toward Medical Image Segmentation via Foundation Model-assisted Semi-supervised Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
MAPMaN: Multi-Stage U-Shaped Adaptive Pattern Matching Network for Semantic Segmentation of Remote Sensing Images.
Comput. Graph. Forum, October, 2023

DBDAN: Dual-Branch Dynamic Attention Network for Semantic Segmentation of Remote Sensing Images.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

SACANet: scene-aware class attention network for semantic segmentation of remote sensing images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Log-Can: Local-Global Class-Aware Network For Semantic Segmentation of Remote Sensing Images.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Mood-Driven Colorization of Virtual Indoor Scenes.
IEEE Trans. Vis. Comput. Graph., 2022

EDVAM: a 3D eye-tracking dataset for visual attention modeling in a virtual museum.
Frontiers Inf. Technol. Electron. Eng., 2022

2021
A review of computer graphics approaches to urban modeling from a machine learning perspective.
Frontiers Inf. Technol. Electron. Eng., 2021

Predicting Esophageal Fistula Risks Using a Multimodal Self-attention Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2019
An Eye-Tracking Dataset for Visual Attention Modelling in a Virtual Museum Context.
Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry, 2019

A Data-Driven Optimisation Approach to Urban Multi-Site Selection for Public Services and Retails.
Proceedings of the 17th International Conference on Virtual-Reality Continuum and its Applications in Industry, 2019

Non-Euclidean Embeddings for Graph Analytics and Visualisation.
Proceedings of the SIGGRAPH Asia 2019 Posters, 2019

2018
Automatic site selection of cultural venues.
Proceedings of the SIGGRAPH Asia 2018 Technical Briefs, Tokyo, Japan, December 04-07, 2018, 2018

Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A Novel Riemannian Metric Based on Riemannian Structure and Scaling Information for Fixed Low-Rank Matrix Completion.
IEEE Trans. Cybern., 2017

2016
Crowd-driven mid-scale layout design.
ACM Trans. Graph., 2016

2014
Modelling Mutual Information between Voiceprint and Optimal Number of Mel-Frequency Cepstral Coefficients in Voice Discrimination.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014


  Loading...