3 citations · 5 across the 14 of their papers we have counts for
14 papers · 1 filter
EEG-EditBench: Probing Visual Information in EEG-Image Retrieval Models with Controlled Image Edits
Kaifan Zhang, Lihuo He, Yuqi Ji +4
Recent EEG-to-image retrieval models have achieved strong performance in identifying viewed images from semantically diverse candidates. Yet such success does not reveal what visua…
Towards Adaptive Open-Set Object Detection via Category-Level Collaboration Knowledge Mining
Yuqi Ji, Junjie Ke, Lihuo He +2
Existing object detectors often struggle to generalize across domains while adapting to emerging novel categories. Adaptive open-set object detection (AOOD) addresses this challeng…
Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation
Jiawei Zhou, Chi Zhang, Xiang Feng +6
We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimodal Models (LMMs) in converting complex, structured digital graphics into executa…
CognitionCapturerPro: Towards High-Fidelity Visual Decoding from EEG/MEG via Multi-modal Information and Asymmetric Alignment
Kaifan Zhang, Lihuo He, Junjie Ke +4
Visual stimuli reconstruction from EEG remains challenging due to fidelity loss and representation shift. We propose CognitionCapturerPro, an enhanced framework that integrates EEG…
HyperAlign: Hyperbolic Entailment Cones for Adaptive Text-to-Image Alignment Assessment
Wenzhi Chen, Bo Hu, Leida Li +3
With the rapid development of text-to-image generation technology, accurately assessing the alignment between generated images and text prompts has become a critical challenge. Exi…
YOLOA: Real-Time Affordance Detection via LLM Adapter
Yuqi Ji, Junjie Ke, Lihuo He +5
Affordance detection aims to jointly address the fundamental "what-where-how" challenge in embodied AI by understanding "what" an object is, "where" the object is located, and "how…