9 papers
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…
Sum Rate Maximization for Practical RIS-Enhanced Rate-Splitting Multiple Access Systems
Qian Zhang, Xuejun Cheng, Jiaming Shi +3
Reconfigurable intelligent surfaces (RIS) combined with rate-splitting multiple access (RSMA) provide a promising solution for improving the spectral efficiency (SE) of sixth-gener…
LCAP: Population-Informed Latent Chip Adaptation from Few Output Probes for Photonic Neural Networks
Tianyu Gao, Guantian Zheng
Photonic neural networks (PNNs) offer efficient analog inference, but parameters optimized under ideal device models can degrade after fabrication, creating a persistent simulation…
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 (…
StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer
Guantian Zheng
AI-generated content (AIGC) detectors are increasingly deployed in high-stakes settings such as academic integrity screening, yet their reliability rests on a fundamental paradox:…
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…
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…
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…
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…