activity
20232026
most citedAMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving

1 citations · 1 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

LiFi: LiDAR Generation from Multi-View Images via Geometric and Semantic Collaborative Guidance

Sizhuo Zhou, Xiaosong Jia, Fanrui Zhang +10

Generating LiDAR point clouds from multi-view camera images is a valuable task with applications in controllable data synthesis, cross-modal simulation and various perception tasks…

cs.CV2026

MORE: Learning Motion-Oriented Registers for Driving World Models and Planning

Yingdong Gu, Haoyu Wang, Shaocheng Yan +9

By predicting future states, latent world models provide rich self-supervision for end-to-end driving, but often inherit dense features from pretrained visual encoders as their wor…

cs.CV2026

RISE: Adaptive Imagination for World Action Models

Hongbo Lu, Liang Yao, Chenghao He +5

World Action Models (WAMs) improve planning by incorporating future world evolution into action generation, yet existing methods allocate a fixed imagination budget to every scene.…

cs.CV2026

The DAWN of World-Action Interactive Models

Hongbo Lu, Liang Yao, Chenghao He +6

A plausible scene evolution depends on the maneuver being considered, while a good maneuver depends on how the scene may evolve. Existing World Action Models (WAMs) largely miss th…

cs.CV2026

Why Do DiT Editors Drift? Plug-and-Play Low Frequency Alignment in VAE Latent Space

Xiaoce Wang, Sifan Zhou, Kaifei Wang +4

Recent advances in diffusion transformers (DiTs) have enabled promising single-turn image editing capabilities. However, multi-turn editing often leads to progressive semantic drif…

cs.CV2026

VisionNVS: Self-Supervised Inpainting for Novel View Synthesis under the Virtual-Shift Paradigm

Hongbo Lu, Liang Yao, Chenghao He +4

A fundamental bottleneck in Novel View Synthesis (NVS) for autonomous driving is the inherent supervision gap on novel trajectories: models are tasked with synthesizing unseen view…

cs.CV2026

Clinical Cognition Alignment for Gastrointestinal Diagnosis with Multimodal LLMs

Huan Zheng, Yucheng Zhou, Tianyi Yan +6

Multimodal Large Language Models (MLLMs) have demonstrated remarkable potential in medical image analysis. However, their application in gastrointestinal endoscopy is currently hin…