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Dongyu She

8 accepted papers

2026

Image Guides Images: Consistent Video Amodal Completion with Rectified In-Context Exemplar Guidance

CVPR 2026

Video amodal completion (VAC) aims to mimic the human brain's ability to implicitly perceive the complete appearance of partially occluded objects, thereby facilitating recognition and understanding. Existing VAC methods finetune video generation models on custom datasets, yet these datasets often h

Cited by 0SourcecodeScholar
2026

VMD-FACT: A New Video Dataset and MLLM-based method for Detecting Realistic AI-Generated Video Misinformation

CVPR 2026

The rapid evolution of generative AI, including such models as Sora, has intensified the threat of video misinformation. A critical challenge in detecting these AI-generated video misinformation lies in a fundamental disconnect between existing datasets and practical deception tactics. Current datas

Cited by 0SourceScholar
2025

Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection

ICCV 2025poster

Out-of-distribution (OOD) detection aims to distinguish whether detected objects belong to known categories or not. Existing methods extract OOD samples from In-distribution (ID) data to regularize the model's decision boundaries. However, the decision boundaries are not adequately regularized becau…

Cited by 0SourcePDFScholar
2021

Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment

CVPR 2021poster

Learning computational models of image aesthetics can have a substantial impact on visual art and graphic design. Although automatic image aesthetics assessment is a challenging topic by its subjective nature, psychological studies have confirmed a strong correlation between image layouts and percei…

Cited by 98PDFcodeScholar
2019

Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval

ICCV 2019poster

Images play a crucial role for people to express their opinions online due to the increasing popularity of social networks. While an affective image retrieval system is useful for obtaining visual contents with desired emotions from a massive repository, the abstract and subjective characteristics m…

Cited by 45PDFScholar
2019

Joint Acne Image Grading and Counting via Label Distribution Learning

ICCV 2019accepted

Accurate grading of skin disease severity plays a crucial role in precise treatment for patients. Acne vulgaris, the most common skin disease in adolescence, can be graded by evidence-based lesion counting as well as experience-based global estimation in the medical field. However, due to the appear…

2019

Zero-Shot Emotion Recognition via Affective Structural Embedding

ICCV 2019poster

Image emotion recognition attracts much attention in recent years due to its wide applications. It aims to classify the emotional response of humans, where candidate emotion categories are generally defined by specific psychological theories, such as Ekman's six basic emotions. However, with the dev…

Cited by 64PDFScholar
2018

Weakly Supervised Coupled Networks for Visual Sentiment Analysis

CVPR 2018poster

Automatic assessment of sentiment from visual content has gained considerable attention with the increasing tendency of expressing opinions on-line. In this paper, we solve the problem of visual sentiment analysis using the high-level abstraction in the recognition process. Existing methods based on…

Cited by 161SourcePDFScholar