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cs.CV2026

MoRE: Motion-Regularized Encoding for Articulated 3D Generation

Guantian Zheng, Shan Jin, Tim Tso +1

Generating an articulated object from a single image requires recovering both its appearance and the mechanism governing its parts. A compact encoding of joint attributes does not…

cs.CV2026

Hyper^2: Unleashing Hyperbolic Geometry's Full Potential via Dual-Space Consistency

Guantian Zheng, Haiyang Xu, Tianyu Gao

HyperbolicCD pioneered hyperbolic geometry for point cloud completion by replacing the Euclidean Chamfer distance with arcosh(1+alpha||x-y||^2), but the reported gains are modest (…

cs.CV2026

Unified Map Prior Encoder for Mapping and Planning

Zongzheng Zhang, Sizhe Zou, Guantian Zheng +12

Online mapping and end-to-end (E2E) planning in autonomous driving remain largely sensor-centric, leaving rich map priors, including HD/SD vector maps, rasterized SD maps, and sate…

cs.CV2026

DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving

Enhui Ma, Jiahuan Zhang, Guantian Zheng +10

Multimodal Large Language Models (MLLMs) are rapidly becoming the intelligence brain of end-to-end autonomous driving systems. A key challenge is to assess whether MLLMs can truly…

cs.CV2025

Delving into Mapping Uncertainty for Mapless Trajectory Prediction

Zongzheng Zhang, Xuchong Qiu, Boran Zhang +11

Recent advances in autonomous driving are moving towards mapless approaches, where High-Definition (HD) maps are generated online directly from sensor data, reducing the need for e…

cs.CV2025

Chameleon: Fast-slow Neuro-symbolic Lane Topology Extraction

Zongzheng Zhang, Xinrun Li, Sizhe Zou +8

Lane topology extraction involves detecting lanes and traffic elements and determining their relationships, a key perception task for mapless autonomous driving. This task requires…