most citedUni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2024

Neural Observation Field Guided Hybrid Optimization of Camera Placement

Yihan Cao, Jiazhao Zhang, Zhinan Yu +1

Camera placement is crutial in multi-camera systems such as virtual reality, autonomous driving, and high-quality reconstruction. The camera placement challenge lies in the nonline…

cs.RO20242 cited

Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks

Jiazhao Zhang, Kunyu Wang, Shaoan Wang +6

A practical navigation agent must be capable of handling a wide range of interaction demands, such as following instructions, searching objects, answering questions, tracking peopl…

cs.RO20241 cited

InstruGen: Automatic Instruction Generation for Vision-and-Language Navigation Via Large Multimodal Models

Yu Yan, Rongtao Xu, Jiazhao Zhang +3

Recent research on Vision-and-Language Navigation (VLN) indicates that agents suffer from poor generalization in unseen environments due to the lack of realistic training environme…

stat.ML2024

A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization

Jiazhao Zhang, Ying Hung, Chung-Ching Lin +1

Choosing appropriate hyperparameters plays a crucial role in the success of neural networks as hyper-parameters directly control the behavior and performance of the training algori…

cs.CV2024

MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation

Mi Yan, Jiazhao Zhang, Yan Zhu +1

Open-vocabulary 3D instance segmentation is cutting-edge for its ability to segment 3D instances without predefined categories. However, progress in 3D lags behind its 2D counterpa…

cs.CV2023

FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation

Songlin Wei, Jiazhao Zhang, Yang Wang +3

Neural radiance fields with stochasticity have garnered significant interest by enabling the sampling of plausible radiance fields and quantifying uncertainty for downstream tasks.…