11 papers
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…
Monocular Depth Estimation From the Perspective of Feature Restoration: A Diffusion Enhanced Depth Restoration Approach
Huibin Bai, Shuai Li, Hanxiao Zhai +6
Monocular Depth Estimation (MDE) is a fundamental computer vision task with important applications in 3D vision. The current mainstream MDE methods employ an encoder-decoder archit…
MacTok: Robust Continuous Tokenization for Image Generation
Hengyu Zeng, Xin Gao, Guanghao Li +5
Continuous image tokenizers enable efficient visual generation, and those based on variational frameworks can learn smooth, structured latent representations through KL regularizat…
Square Superpixel Generation and Representation Learning via Granular Ball Computing
Shuyin Xia, Meng Yang, Dawei Dai +6
Superpixels provide a compact region-based representation that preserves object boundaries and local structures, and have therefore been widely used in a variety of vision tasks to…
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…
Boosting Temporal Sentence Grounding via Causal Inference
Kefan Tang, Lihuo He, Jisheng Dang +1
Temporal Sentence Grounding (TSG) aims to identify relevant moments in an untrimmed video that semantically correspond to a given textual query. Despite existing studies having mad…
EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment
Zhaoyang Wang, Wen Lu, Jie Li +3
Free-energy-guided self-repair mechanisms have shown promising results in image quality assessment (IQA), but remain under-explored in video quality assessment (VQA), where tempora…
A Multi-annotated and Multi-modal Dataset for Wide-angle Video Quality Assessment
Bo Hu, Wei Wang, Chunyi Li +3
Wide-angle video is favored for its wide viewing angle and ability to capture a large area of scenery, making it an ideal choice for sports and adventure recording. However, wide-a…