activity
20202026
most citedSCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

35 citations · 39 across the 16 of their papers we have counts for

collaborators
Showing 2026Show all

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

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

VLM-Loc: Localization in Point Cloud Maps via Vision-Language Models

Shuhao Kang, Youqi Liao, Peijie Wang +5

Text-to-point-cloud (T2P) localization aims to infer precise spatial positions within 3D point cloud maps from natural language descriptions, reflecting how humans perceive and com…

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…