most citedFrom Sora What We Can See: A Survey of Text-to-Video Generation

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

A Visual-Inertial Motion Prior SLAM for Dynamic Environments

Weilong Sun, Yumin Zhang, Boren Wei

The Visual-Inertial Simultaneous Localization and Mapping (VI-SLAM) algorithms which are mostly based on static assumption are widely used in fields such as robotics, UAVs, VR, and…

eess.IV2025

FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation

Yumin Zhang, Yan Gao, Haoran Duan +4

Transformer-based foundation models (FMs) have recently demonstrated remarkable performance in medical image segmentation. However, scaling these models is challenging due to the l…

cs.LG2024

Exemplar-condensed Federated Class-incremental Learning

Rui Sun, Yumin Zhang, Varun Ojha +4

We propose Exemplar-Condensed federated class-incremental learning (ECoral) to distil the training characteristics of real images from streaming data into informative rehearsal exe…

cs.CV2024

ExactDreamer: High-Fidelity Text-to-3D Content Creation via Exact Score Matching

Yumin Zhang, Xingyu Miao, Haoran Duan +4

Text-to-3D content creation is a rapidly evolving research area. Given the scarcity of 3D data, current approaches often adapt pre-trained 2D diffusion models for 3D synthesis. Amo…

cs.CV2024★ 4 cited

From Sora What We Can See: A Survey of Text-to-Video Generation

Rui Sun, Yumin Zhang, Tejal Shah +6

With impressive achievements made, artificial intelligence is on the path forward to artificial general intelligence. Sora, developed by OpenAI, which is capable of minute-level wo…