Cheng Han

Orcid: 0000-0002-8145-3436

Affiliations:
  • University of Missouri-Kansas City, MO, USA
  • Rochester Institute of Technology, Rochester, NY, USA (former)


According to our database1, Cheng Han authored at least 18 papers between 2023 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Optical Flow as Spatial-Temporal Attention Learners.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Self-Supervised Adversarial Training of Monocular Depth Estimation Against Physical-World Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Visual Fourier Prompt Tuning.
CoRR, 2024

M<sup>2</sup>PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
CoRR, 2024

SSGA-Net: Stepwise Spatial Global-local Aggregation Networks for for Autonomous Driving.
CoRR, 2024

A systematic evaluation of computational methods for cell segmentation.
Briefings Bioinform., 2024

Prototypical Transformer As Unified Motion Learners.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Image Translation as Diffusion Visual Programmers.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AMD: Automatic Multi-step Distillation of Large-Scale Vision Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

ProMotion: Prototypes as Motion Learners.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation.
CoRR, 2023

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
CoRR, 2023

Unified 3D Segmenter As Prototypical Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Visual Recognition with Deep Nearest Centroids.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

E<sup>2</sup>VPT: An Effective and Efficient Approach for Visual Prompt Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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