2 citations · 4 across the 8 of their papers we have counts for
9 papers · 1 filter
Can Vision-Language Models Think from the Sky? Unifying UAV Reasoning and Generation
Jintao Sun, Gangyi Ding, Donglin Di +2
Vision-Language Models have achieved strong progress in ground-view visual understanding, yet they remain brittle in high-altitude Unmanned Aerial Vehicle scenes, where objects are…
Uncertainty-Aware Trajectory Prediction: A Unified Framework Harnessing Positional and Semantic Uncertainties
Jintao Sun, Hu Zhang, Gangyi Ding +1
Trajectory prediction seeks to forecast the future motion of dynamic entities, such as vehicles and pedestrians, given a temporal horizon of historical movement data and environmen…
AnomalyLMM: Bridging Generative Knowledge and Discriminative Retrieval for Text-Based Person Anomaly Search
Hao Ju, Hu Zhang, Zhedong Zheng
With growing public safety demands, text-based person anomaly search has emerged as a critical task, aiming to retrieve individuals with abnormal behaviors via natural language des…
Ultra3D: Efficient and High-Fidelity 3D Generation with Part Attention
Yiwen Chen, Zhihao Li, Yikai Wang +4
Recent advances in sparse voxel representations have significantly improved the quality of 3D content generation, enabling high-resolution modeling with fine-grained geometry. Howe…
Uncertainty-o: One Model-agnostic Framework for Unveiling Uncertainty in Large Multimodal Models
Ruiyang Zhang, Hu Zhang, Hao Fei +1
Large Multimodal Models (LMMs), harnessing the complementarity among diverse modalities, are often considered more robust than pure Language Large Models (LLMs); yet do LMMs know w…
Echo Planning for Autonomous Driving: From Current Observations to Future Trajectories and Back
Jintao Sun, Hu Zhang, Gangyi Ding +1
Modern end-to-end autonomous driving systems suffer from a critical limitation: their planners lack mechanisms to enforce temporal consistency between predicted trajectories and ev…
VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation
Ruiyang Zhang, Hu Zhang, Zhedong Zheng
Given the higher information load processed by large vision-language models (LVLMs) compared to single-modal LLMs, detecting LVLM hallucinations requires more human and time expens…
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object Detection
Ruiyang Zhang, Hu Zhang, Hang Yu +1
Unsupervised 3D object detection aims to identify objects of interest from unlabeled raw data, such as LiDAR points. Recent approaches usually adopt pseudo 3D bounding boxes (3D bb…
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
Ruiyang Zhang, Hu Zhang, Hang Yu +1
The unsupervised 3D object detection is to accurately detect objects in unstructured environments with no explicit supervisory signals. This task, given sparse LiDAR point clouds,…