activity
20192026
most citedROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion

217 citations · 236 across the 38 of their papers we have counts for

collaborators
Showing cs.CVShow all

15 papers · 1 filter

cs.CV2026

Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving

Xin Zhou, Zongchuang Zhao, Zhibo Yang +13

We present Qwen-Drive-1.0, an initial step towards a vision-language foundation model for autonomous driving. Qwen-Drive-1.0 retains the architecture of the pretrained vision-langu…

cs.CV2026

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation

Jie Zhang, Xiaoyue Chen, Anzhe Chen +36

We introduce Qwen-RobotWorld, a language-conditioned video world model for embodied intelligence. With natural language as a unified action interface, it predicts physically ground…

cs.CV2025

DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge

Wenyao Zhang, Hongsi Liu, Zekun Qi +11

Recent advances in vision-language-action (VLA) models have shown promise in integrating image generation with action prediction to improve generalization and reasoning in robot ma…

cs.CV2025

RemixFusion: Residual-based Mixed Representation for Large-scale Online RGB-D Reconstruction

Yuqing Lan, Chenyang Zhu, Shuaifeng Zhi +5

The introduction of the neural implicit representation has notably propelled the advancement of online dense reconstruction techniques. Compared to traditional explicit representat…

cs.CV2025

OctoNav: Towards Generalist Embodied Navigation

Chen Gao, Liankai Jin, Xingyu Peng +5

Embodied navigation stands as a foundation pillar within the broader pursuit of embodied AI. However, previous navigation research is divided into different tasks/capabilities, e.g…

cs.CV2025

BoxFusion: Reconstruction-Free Open-Vocabulary 3D Object Detection via Real-Time Multi-View Box Fusion

Yuqing Lan, Chenyang Zhu, Zhirui Gao +5

Open-vocabulary 3D object detection has gained significant interest due to its critical applications in autonomous driving and embodied AI. Existing detection methods, whether offl…

cs.CV2025

OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging

Yijie Tang, Jiazhao Zhang, Yuqing Lan +4

Online zero-shot 3D instance segmentation of a progressively reconstructed scene is both a critical and challenging task for embodied applications. With the success of visual found…

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.CV2024

CogNav: Cognitive Process Modeling for Object Goal Navigation with LLMs

Yihan Cao, Jiazhao Zhang, Zhinan Yu +5

Object goal navigation (ObjectNav) is a fundamental task in embodied AI, requiring an agent to locate a target object in previously unseen environments. This task is particularly c…

cs.CV2024★ 2 cited

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Jiazhao Zhang, Kunyu Wang, Rongtao Xu +6

Vision-and-language navigation (VLN) stands as a key research problem of Embodied AI, aiming at enabling agents to navigate in unseen environments following linguistic instructions…

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.…

cs.CV2023★ 1 cited

MIPS-Fusion: Multi-Implicit-Submaps for Scalable and Robust Online Neural RGB-D Reconstruction

Yijie Tang, Jiazhao Zhang, Zhinan Yu +2

We introduce MIPS-Fusion, a robust and scalable online RGB-D reconstruction method based on a novel neural implicit representation -- multi-implicit-submap. Different from existing…

cs.CV2022★ 3 cited

Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild

Jiayi Chen, Mi Yan, Jiazhao Zhang +6

In this work, we tackle the challenging task of jointly tracking hand object pose and reconstructing their shapes from depth point cloud sequences in the wild, given the initial po…

cs.CV2021★ 217 cited

ROSEFusion: Random Optimization for Online Dense Reconstruction under Fast Camera Motion

Jiazhao Zhang, Chenyang Zhu, Lintao Zheng +1

Online reconstruction based on RGB-D sequences has thus far been restrained to relatively slow camera motions (<1m/s). Under very fast camera motion (e.g., 3m/s), the reconstructio…