17 citations · 22 across the 16 of their papers we have counts for
16 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…
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…
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…
FCA2: Frame Compression-Aware Autoencoder for Modular and Fast Compressed Video Super-Resolution
Zhaoyang Wang, Jie Li, Wen Lu +3
State-of-the-art (SOTA) compressed video super-resolution (CVSR) models face persistent challenges, including prolonged inference time, complex training pipelines, and reliance on…
NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results
Xiaohong Liu, Xiongkuo Min, Qiang Hu +92
This paper reports on the NTIRE 2025 XGC Quality Assessment Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) a…
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…
CognitionCapturer: Decoding Visual Stimuli From Human EEG Signal With Multimodal Information
Kaifan Zhang, Lihuo He, Xin Jiang +3
Electroencephalogram (EEG) signals have attracted significant attention from researchers due to their non-invasive nature and high temporal sensitivity in decoding visual stimuli.…
AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity
Jili Xia, Lihuo He, Fei Gao +3
Recently, AI-generated images (AIGIs) created by given prompts (initial prompts) have garnered widespread attention. Nevertheless, due to technical nonproficiency, they often suffe…
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Zhikang Wang, Feng Zhu, Shixiang Tang +3
Occluded person re-identification (ReID) aims at matching occluded person images to holistic ones across different camera views. Target Pedestrians (TP) are usually disturbed by No…
Robust Person Re-Identification through Contextual Mutual Boosting
Zhikang Wang, Lihuo He, Xinbo Gao +1
Person Re-Identification (Re-ID) has witnessed great advance, driven by the development of deep learning. However, modern person Re-ID is still challenged by background clutter, oc…
A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction
Xiaodan Zhang, Xinbo Gao, Wen Lu +1
Learning fine-grained details is a key issue in image aesthetic assessment. Most of the previous methods extract the fine-grained details via random cropping strategy, which may un…