activity
20232026
most citedDetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

3 citations · 6 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2026

SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning

Yang Cao, Jiaxin Zhang, Dave Zhenyu Chen +4

Vision-language models (VLMs) can benefit from geometric priors for multi-view spatial reasoning, yet answer-only training does not directly supervise the intermediate geometric es…

cs.CV2025

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving

Kai Chen, Ruiyuan Gao, Lanqing Hong +11

In this paper, we present details of the 1st W-CODA workshop, held in conjunction with the ECCV 2024. W-CODA aims to explore next-generation solutions for autonomous driving corner…

cs.CV2024

MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control

Ruiyuan Gao, Kai Chen, Bo Xiao +3

The rapid advancement of diffusion models has greatly improved video synthesis, especially in controllable video generation, which is vital for applications like autonomous driving…

cs.CV2024

MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes

Ruiyuan Gao, Kai Chen, Zhihao Li +3

Controllable generative models for images and videos have seen significant success, yet 3D scene generation, especially in unbounded scenarios like autonomous driving, remains unde…

cs.CV2024★ 2 cited

Automated Evaluation of Large Vision-Language Models on Self-driving Corner Cases

Kai Chen, Yanze Li, Wenhua Zhang +10

Large Vision-Language Models (LVLMs) have received widespread attention for advancing the interpretable self-driving. Existing evaluations of LVLMs primarily focus on multi-faceted…

cs.CV2024★ 3 cited

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Yibo Wang, Ruiyuan Gao, Kai Chen +8

Current perceptive models heavily depend on resource-intensive datasets, prompting the need for innovative solutions. Leveraging recent advances in diffusion models, synthetic data…

cs.CV2023★ 1 cited

TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models

Pengxiang Li, Kai Chen, Zhili Liu +7

Despite remarkable achievements in video synthesis, achieving granular control over complex dynamics, such as nuanced movement among multiple interacting objects, still presents a…