Chengxi Zeng

Orcid: 0000-0002-0872-2054

According to our database1, Chengxi Zeng authored at least 17 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding.
CoRR, April, 2026

The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview.
CoRR, April, 2026

The Fourth Challenge on Image Super-Resolution (⨉4) at NTIRE 2026: Benchmark Results and Method Overview.
CoRR, April, 2026

NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results.
CoRR, April, 2026

The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results.
CoRR, April, 2026

SAM3-LiteText: An Anatomical Study of the SAM3 Text Encoder for Efficient Vision-Language Segmentation.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

A-MAR: Agent-based Multimodal Art Retrieval for Fine-Grained Artwork Understanding.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
EfficientSAM3: Progressive Hierarchical Distillation for Video Concept Segmentation from SAM1, 2, and 3.
CoRR, November, 2025

Compressed Video Super-Resolution based on Hierarchical Encoding.
CoRR, June, 2025

Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation.
CoRR, April, 2025

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations.
CoRR, January, 2025

AIM 2025 Challenge on Robust Offline Video Super-Resolution: Dataset, Methods and Results.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

C2D-ISR: Optimizing Attention-Based Image Super-Resolution from Continuous to Discrete Scales.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks.
CoRR, 2024

Training dynamics in Physics-Informed Neural Networks with feature mapping.
CoRR, 2024

2023
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Video-TransUNet: temporally blended vision transformer for CT VFSS instance segmentation.
Proceedings of the Fifteenth International Conference on Machine Vision, 2022


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