collaborators

10 papers

cs.CV2026

fMRI2Face: A Full-HD fMRI-Video Dataset and Geometry-Guided Neural Decoding Framework for Dynamic Human Face Reconstruction

Jingyang Huo, Xiangru Huang, Chentao Shen +6

Reconstructing dynamic human faces from brain activity provides a powerful way to study how the mind perceives identity, expression, and facial motion. However, progress in fMRI-ba…

cs.LG2026

Conformal Reliability: A New Evaluation Metric for Conditional Generation

Yachen Gao, Xinwei Sun, Yikai Wang +4

Conditional generative models have recently achieved remarkable success in various applications. However, a suitable metric for evaluating the reliability of these models, which ta…

cs.CV2026

Aligned Stable Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency

Yikai Wang, Junqiu Yu, Chenjie Cao +2

Generative image inpainting can produce realistic results even with large, irregular masks, but existing methods still suffer from two common problems: (1) Unwanted object insertio…

cs.CV2026

The Pictorial Cortex: Zero-Shot Cross-Subject fMRI-to-Image Reconstruction via Compositional Latent Modeling

Jingyang Huo, Yikai Wang, Yanwei Fu +1

Decoding visual experiences from human brain activity remains a central challenge at the intersection of neuroscience, neuroimaging, and artificial intelligence. A critical obstacl…

cs.RO2026

ActiveVLA: Injecting Active Perception into Vision-Language-Action Models for Precise 3D Robotic Manipulation

Zhenyang Liu, Yongchong Gu, Yikai Wang +2

Recent advances in robot manipulation have leveraged pre-trained vision-language models (VLMs) and explored integrating 3D spatial signals into these models for effective action pr…

cs.RO2025

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning

Zhenyang Liu, Yikai Wang, Kuanning Wang +3

Visual imitation learning is effective for robots to learn versatile tasks. However, many existing methods rely on behavior cloning with supervised historical trajectories, limitin…