activity
20202026
most citedInstance Credibility Inference for Few-Shot Learning

9 citations · 13 across the 21 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

AffineTok: Semantic Affine Consistency for Diffusion-Friendly Visual Tokenizer

Junqiu Yu, Pandeng Li, Yikai Wang +11

Visual tokenizers increasingly inject semantic supervision into latent spaces to make downstream diffusion easier. Yet how these semantics should be organized to facilitate denoisi…

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

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.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…